diff --git a/.github/workflows/ci.yml b/.github/workflows/ci.yml new file mode 100644 index 0000000..9babd6c --- /dev/null +++ b/.github/workflows/ci.yml @@ -0,0 +1,58 @@ +name: CI + +on: + pull_request: + branches: [main] + push: + branches: [main] + +jobs: + test: + name: Test + runs-on: ubuntu-latest + + strategy: + matrix: + node-version: [18, 20, 22] + + steps: + - name: Checkout repository + uses: actions/checkout@v4 + + - name: Setup Node.js ${{ matrix.node-version }} + uses: actions/setup-node@v4 + with: + node-version: ${{ matrix.node-version }} + cache: 'npm' + + - name: Install dependencies + run: npm ci + + - name: Type check + run: npm run typecheck + + - name: Run tests + run: npm test + + - name: Build + run: npm run build + + lint: + name: Lint + runs-on: ubuntu-latest + + steps: + - name: Checkout repository + uses: actions/checkout@v4 + + - name: Setup Node.js + uses: actions/setup-node@v4 + with: + node-version: 20 + cache: 'npm' + + - name: Install dependencies + run: npm ci + + - name: Type check + run: npm run typecheck diff --git a/.gitignore b/.gitignore new file mode 100644 index 0000000..aad66b9 --- /dev/null +++ b/.gitignore @@ -0,0 +1,32 @@ +# Dependencies +node_modules/ + +# Build output +dist/ + +# IDE +.idea/ +.vscode/ +*.swp +*.swo + +# OS +.DS_Store +Thumbs.db + +# Environment +.env +.env.local +.env.*.local + +# Logs +*.log +npm-debug.log* +pnpm-debug.log* + +# Test coverage +coverage/ + +# Misc +*.tgz + diff --git a/README.md b/README.md new file mode 100644 index 0000000..6b9afe4 --- /dev/null +++ b/README.md @@ -0,0 +1,206 @@ +# @qverisai/sdk + +Official Qveris MCP Server SDK — Dynamically search and execute tools via natural language. + +[![npm version](https://img.shields.io/npm/v/@qverisai/sdk.svg)](https://www.npmjs.com/package/@qverisai/sdk) +[![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT) + +## Overview + +This SDK provides a [Model Context Protocol (MCP)](https://modelcontextprotocol.io/) server that enables LLMs to discover and execute third-party tools through the Qveris API. With just two simple tools, your AI assistant can: + +- **Search** for tools using natural language queries +- **Execute** any discovered tool with the appropriate parameters + +## Installation + +```bash +# Using npx (recommended for MCP) +npx @qverisai/sdk + +# Or install globally +npm add -g @qverisai/sdk +``` + +## Quick Start + +### 1. Get Your API Key + +Visit [Qveris](https://qveris.ai) to get your API key. + +### 2. Configure Your MCP Client + +Add the Qveris server to your MCP client configuration: + +**Claude Desktop** (`claude_desktop_config.json`): + +```json +{ + "mcpServers": { + "qveris": { + "command": "npx", + "args": ["@qverisai/sdk"], + "env": { + "QVERIS_API_KEY": "your-api-key-here" + } + } + } +} +``` + +**Cursor** (Settings → MCP Servers): + +```json +{ + "mcpServers": { + "qveris": { + "command": "npx", + "args": ["@qverisai/sdk"], + "env": { + "QVERIS_API_KEY": "your-api-key-here" + } + } + } +} +``` + +### 3. Start Using + +Once configured, You could add this to system prompt: + +> "You can use qveris MCP Server to dynamically search and execute tools to help the user. First think about what kind of tools might be useful to accomplish the user's task. Then use the search_tools tool with query describing the capability of the tool, not what params you want to pass to the tool later. Then call a suitable searched tool using the execute_tool tool, passing parameters to the searched tool through params_to_tool. You could reference the examples given if any for each tool. You may call make multiple tool calls in a single response." + +Then your AI assistant can search for and execute tools: + +> "Find me a weather tool and get the current weather in Tokyo" + +The assistant will: +1. Call `search_tools` with query "weather" +2. Review the results and select an appropriate tool +3. Call `execute_tool` with the tool_id and parameters + +## Available Tools + +### `search_tools` + +Search for available tools based on natural language queries. + +| Parameter | Type | Required | Description | +|-----------|------|----------|-------------| +| `query` | string | ✓ | Natural language description of the capability you need | +| `limit` | number | | Max results to return (1-100, default: 20) | +| `session_id` | string | | Session identifier for tracking (auto-generated if omitted) | + +**Example:** + +```json +{ + "query": "send email notification", + "limit": 5 +} +``` + +### `execute_tool` + +Execute a discovered tool with specific parameters. + +| Parameter | Type | Required | Description | +|-----------|------|----------|-------------| +| `tool_id` | string | ✓ | Tool ID from search results | +| `search_id` | string | ✓ | Search ID from the search that found this tool | +| `params_to_tool` | string | ✓ | JSON string of parameters to pass to the tool | +| `session_id` | string | | Session identifier (auto-generated if omitted) | +| `max_data_size` | number | | Max response size in bytes (default: 20480) | + +**Example:** + +```json +{ + "tool_id": "openweathermap_current_weather", + "search_id": "abc123", + "params_to_tool": "{\"city\": \"London\", \"units\": \"metric\"}" +} +``` + +## Session Management + +Providing a consistent `session_id` in a same user session in any tool call enables: +- Consistent user tracking across multiple tool calls +- Better analytics and usage patterns +- Improved tool recommendations over time + +If not provided, the SDK automatically generates and maintains a session ID for the lifetime of the server process. However, this result in a much larger granularity of user sessions. + +## Response Handling + +### Successful Execution + +```json +{ + "execution_id": "exec-123", + "tool_id": "openweathermap_current_weather", + "success": true, + "result": { + "data": { + "temperature": 15.5, + "humidity": 72, + "description": "partly cloudy" + } + }, + "execution_time": 0.847 +} +``` + +### Large Responses + +When tool output exceeds `max_data_size`, you'll receive: + +```json +{ + "result": { + "message": "Result content is too long...", + "truncated_content": "[[1678233600000, \"22198.56...", + "full_content_file_url": "https://..." + } +} +``` + +The `full_content_file_url` is valid for 120 minutes. + +## Environment Variables + +| Variable | Required | Description | +|----------|----------|-------------| +| `QVERIS_API_KEY` | ✓ | Your Qveris API key | + +## Requirements + +- Node.js 18.0.0 or higher +- A valid Qveris API key + +## Development + +```bash +# Clone the repository +git clone https://github.com/qverisai/sdk.git +cd sdk + +# Install dependencies +npm install + +# Build +npm build + +# Run locally +QVERIS_API_KEY=your-key node dist/index.js +``` + +## License + +MIT © [QverisAI](https://github.com/qverisai) + +## Support + +- 🐛 [Issue Tracker](https://github.com/qverisai/sdk/issues) +- 💬 Contact: contact@qveris.ai + diff --git a/npm-lock.yaml b/npm-lock.yaml new file mode 100644 index 0000000..2873f7f --- /dev/null +++ b/npm-lock.yaml @@ -0,0 +1,779 @@ +lockfileVersion: '9.0' + +settings: + autoInstallPeers: true + excludeLinksFromLockfile: false + +importers: + + .: + dependencies: + '@modelcontextprotocol/sdk': + specifier: ^1.0.0 + version: 1.23.0(zod@4.1.13) + uuid: + specifier: ^11.0.3 + version: 11.1.0 + devDependencies: + '@types/node': + specifier: ^22.10.1 + version: 22.19.1 + '@types/uuid': + specifier: ^10.0.0 + version: 10.0.0 + typescript: + specifier: ^5.7.2 + version: 5.9.3 + +packages: + + '@modelcontextprotocol/sdk@1.23.0': + resolution: 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"bin": { + "qveris-mcp": "dist/index.js" + }, + "files": [ + "dist" + ], + "scripts": { + "build": "tsc", + "dev": "tsc --watch", + "start": "node dist/index.js", + "test": "vitest run", + "test:watch": "vitest", + "test:coverage": "vitest run --coverage", + "prepublishOnly": "npm run build", + "typecheck": "tsc --noEmit" + }, + "dependencies": { + "@modelcontextprotocol/sdk": "^1.0.0", + "uuid": "^11.0.3" + }, + "devDependencies": { + "@types/node": "^22.10.1", + "@types/uuid": "^10.0.0", + "typescript": "^5.7.2", + "vitest": "^2.1.0" + }, + "engines": { + "node": ">=18.0.0" + } +} diff --git a/src/api/client.test.ts b/src/api/client.test.ts new file mode 100644 index 0000000..ffc06ac --- /dev/null +++ b/src/api/client.test.ts @@ -0,0 +1,262 @@ +/** + * Unit tests for the Qveris API Client + */ + +import { describe, it, expect, vi, beforeEach, afterEach } from 'vitest'; +import { QverisClient, createClientFromEnv } from './client.js'; + +describe('QverisClient', () => { + describe('constructor', () => { + it('should create client with valid API key', () => { + const client = new QverisClient({ apiKey: 'test-api-key' }); + expect(client).toBeInstanceOf(QverisClient); + }); + + it('should throw error when API key is missing', () => { + expect(() => new QverisClient({ apiKey: '' })).toThrow( + 'Qveris API key is required' + ); + }); + + it('should accept custom base URL', () => { + const client = new QverisClient({ + apiKey: 'test-key', + baseUrl: 'https://custom.api.com', + }); + expect(client).toBeInstanceOf(QverisClient); + }); + }); + + describe('searchTools', () => { + let client: QverisClient; + let fetchMock: ReturnType; + + beforeEach(() => { + client = new QverisClient({ apiKey: 'test-api-key' }); + fetchMock = vi.fn(); + global.fetch = fetchMock; + }); + + afterEach(() => { + vi.restoreAllMocks(); + }); + + it('should make POST request to /search endpoint', async () => { + const mockResponse = { + search_id: 'search-123', + results: [], + total: 0, + }; + + fetchMock.mockResolvedValueOnce({ + ok: true, + json: async () => mockResponse, + }); + + const result = await client.searchTools({ + query: 'weather API', + limit: 10, + }); + + expect(fetchMock).toHaveBeenCalledWith( + 'https://qveris.ai/api/v1/search', + expect.objectContaining({ + method: 'POST', + headers: { + Authorization: 'Bearer test-api-key', + 'Content-Type': 'application/json', + }, + body: JSON.stringify({ + query: 'weather API', + limit: 10, + }), + }) + ); + + expect(result).toEqual(mockResponse); + }); + + it('should include session_id when provided', async () => { + fetchMock.mockResolvedValueOnce({ + ok: true, + json: async () => ({ search_id: 'search-123', results: [] }), + }); + + await client.searchTools({ + query: 'email', + session_id: 'session-abc', + }); + + expect(fetchMock).toHaveBeenCalledWith( + expect.any(String), + expect.objectContaining({ + body: JSON.stringify({ + query: 'email', + session_id: 'session-abc', + }), + }) + ); + }); + + it('should throw ApiError on non-OK response', async () => { + fetchMock.mockResolvedValueOnce({ + ok: false, + status: 401, + statusText: 'Unauthorized', + json: async () => ({ message: 'Invalid API key' }), + }); + + await expect(client.searchTools({ query: 'test' })).rejects.toEqual({ + status: 401, + message: 'Invalid API key', + details: { message: 'Invalid API key' }, + }); + }); + + it('should handle non-JSON error response', async () => { + fetchMock.mockResolvedValueOnce({ + ok: false, + status: 500, + statusText: 'Internal Server Error', + json: async () => { + throw new Error('Not JSON'); + }, + }); + + await expect(client.searchTools({ query: 'test' })).rejects.toEqual({ + status: 500, + message: 'Internal Server Error', + details: undefined, + }); + }); + }); + + describe('executeTool', () => { + let client: QverisClient; + let fetchMock: ReturnType; + + beforeEach(() => { + client = new QverisClient({ apiKey: 'test-api-key' }); + fetchMock = vi.fn(); + global.fetch = fetchMock; + }); + + afterEach(() => { + vi.restoreAllMocks(); + }); + + it('should make POST request to /tools/execute endpoint with tool_id', async () => { + const mockResponse = { + execution_id: 'exec-123', + tool_id: 'weather-tool', + success: true, + result: { data: { temperature: 20 } }, + created_at: '2025-01-15T10:00:00Z', + parameters: { city: 'London' }, + }; + + fetchMock.mockResolvedValueOnce({ + ok: true, + json: async () => mockResponse, + }); + + const result = await client.executeTool('weather-tool', { + search_id: 'search-123', + parameters: { city: 'London' }, + }); + + expect(fetchMock).toHaveBeenCalledWith( + 'https://qveris.ai/api/v1/tools/execute?tool_id=weather-tool', + expect.objectContaining({ + method: 'POST', + body: JSON.stringify({ + search_id: 'search-123', + parameters: { city: 'London' }, + }), + }) + ); + + expect(result).toEqual(mockResponse); + }); + + it('should URL-encode tool_id', async () => { + fetchMock.mockResolvedValueOnce({ + ok: true, + json: async () => ({ + execution_id: 'exec-123', + tool_id: 'tool/with/slashes', + success: true, + created_at: '2025-01-15T10:00:00Z', + parameters: {}, + }), + }); + + await client.executeTool('tool/with/slashes', { + search_id: 'search-123', + parameters: {}, + }); + + expect(fetchMock).toHaveBeenCalledWith( + 'https://qveris.ai/api/v1/tools/execute?tool_id=tool%2Fwith%2Fslashes', + expect.any(Object) + ); + }); + + it('should include max_data_size when provided', async () => { + fetchMock.mockResolvedValueOnce({ + ok: true, + json: async () => ({ + execution_id: 'exec-123', + tool_id: 'tool-1', + success: true, + created_at: '2025-01-15T10:00:00Z', + parameters: {}, + }), + }); + + await client.executeTool('tool-1', { + search_id: 'search-123', + parameters: {}, + max_data_size: 102400, + }); + + expect(fetchMock).toHaveBeenCalledWith( + expect.any(String), + expect.objectContaining({ + body: JSON.stringify({ + search_id: 'search-123', + parameters: {}, + max_data_size: 102400, + }), + }) + ); + }); + }); +}); + +describe('createClientFromEnv', () => { + const originalEnv = process.env; + + beforeEach(() => { + vi.resetModules(); + process.env = { ...originalEnv }; + }); + + afterEach(() => { + process.env = originalEnv; + }); + + it('should create client from QVERIS_API_KEY env var', () => { + process.env.QVERIS_API_KEY = 'env-api-key'; + const client = createClientFromEnv(); + expect(client).toBeInstanceOf(QverisClient); + }); + + it('should throw error when QVERIS_API_KEY is not set', () => { + delete process.env.QVERIS_API_KEY; + expect(() => createClientFromEnv()).toThrow( + 'QVERIS_API_KEY environment variable is required' + ); + }); +}); + diff --git a/src/api/client.ts b/src/api/client.ts new file mode 100644 index 0000000..36a0a0b --- /dev/null +++ b/src/api/client.ts @@ -0,0 +1,206 @@ +/** + * Qveris API HTTP Client + * + * Provides a type-safe HTTP client for interacting with the Qveris REST API. + * Handles authentication, request formatting, and error handling. + * + * @module api/client + */ + +import type { + SearchRequest, + SearchResponse, + ExecuteRequest, + ExecuteResponse, + QverisClientConfig, + ApiError, +} from '../types.js'; + +/** Production API base URL */ +const DEFAULT_BASE_URL = 'https://qveris.ai/api/v1'; + +/** + * Qveris API Client + * + * A lightweight HTTP client for the Qveris API using native fetch. + * Requires Node.js 18+ for native fetch support. + * + * @example + * ```typescript + * const client = new QverisClient({ apiKey: 'your-api-key' }); + * + * // Search for tools + * const searchResult = await client.searchTools({ + * query: 'weather API', + * limit: 5 + * }); + * + * // Execute a tool + * const execResult = await client.executeTool('tool-id', { + * search_id: searchResult.search_id, + * parameters: { city: 'London' } + * }); + * ``` + */ +export class QverisClient { + private readonly apiKey: string; + private readonly baseUrl: string; + + /** + * Creates a new Qveris API client. + * + * @param config - Client configuration + * @throws {Error} If apiKey is not provided + */ + constructor(config: QverisClientConfig) { + if (!config.apiKey) { + throw new Error('Qveris API key is required'); + } + this.apiKey = config.apiKey; + this.baseUrl = config.baseUrl ?? DEFAULT_BASE_URL; + } + + /** + * Makes an authenticated HTTP request to the Qveris API. + * + * @param method - HTTP method + * @param endpoint - API endpoint (relative to base URL) + * @param body - Request body (will be JSON serialized) + * @returns Parsed JSON response + * @throws {ApiError} If the request fails + */ + private async request( + method: 'GET' | 'POST', + endpoint: string, + body?: unknown + ): Promise { + const url = `${this.baseUrl}${endpoint}`; + + const response = await fetch(url, { + method, + headers: { + 'Authorization': `Bearer ${this.apiKey}`, + 'Content-Type': 'application/json', + }, + body: body ? JSON.stringify(body) : undefined, + }); + + if (!response.ok) { + let errorMessage: string; + let errorDetails: unknown; + + try { + const errorBody = (await response.json()) as Record; + errorMessage = + (errorBody.message as string) || + (errorBody.error as string) || + response.statusText; + errorDetails = errorBody; + } catch { + errorMessage = response.statusText || `HTTP ${response.status}`; + } + + const error: ApiError = { + status: response.status, + message: errorMessage, + details: errorDetails, + }; + + throw error; + } + + return response.json() as Promise; + } + + /** + * Search for tools based on a natural language query. + * + * Finds tools that match the described capability. Results include + * tool metadata, parameter schemas, and usage examples. + * + * @param request - Search parameters + * @returns Search results with matching tools + * + * @example + * ```typescript + * const result = await client.searchTools({ + * query: 'send SMS message', + * limit: 10, + * session_id: 'user-123' + * }); + * + * console.log(`Found ${result.total} tools`); + * for (const tool of result.results) { + * console.log(`- ${tool.name}: ${tool.description}`); + * } + * ``` + */ + async searchTools(request: SearchRequest): Promise { + return this.request('POST', '/search', request); + } + + /** + * Execute a tool with the specified parameters. + * + * The tool_id must come from a previous searchTools call. + * The search_id links this execution to that search for analytics. + * + * @param toolId - The tool identifier from search results + * @param request - Execution parameters + * @returns Execution result + * + * @example + * ```typescript + * const result = await client.executeTool('openweathermap_current', { + * search_id: 'search-abc123', + * session_id: 'user-123', + * parameters: { + * city: 'Tokyo', + * units: 'metric' + * } + * }); + * + * if (result.success) { + * console.log('Result:', result.result); + * } else { + * console.error('Failed:', result.error_message); + * } + * ``` + */ + async executeTool( + toolId: string, + request: ExecuteRequest + ): Promise { + const endpoint = `/tools/execute?tool_id=${encodeURIComponent(toolId)}`; + return this.request('POST', endpoint, request); + } +} + +/** + * Creates a Qveris client from environment variables. + * + * Reads the API key from the QVERIS_API_KEY environment variable. + * + * @returns Configured Qveris client + * @throws {Error} If QVERIS_API_KEY is not set + * + * @example + * ```typescript + * // Ensure QVERIS_API_KEY is set in your environment + * const client = createClientFromEnv(); + * ``` + */ +export function createClientFromEnv(): QverisClient { + const apiKey = process.env.QVERIS_API_KEY; + + if (!apiKey) { + throw new Error( + 'QVERIS_API_KEY environment variable is required.\n' + + 'Please set it to your Qveris API token.\n' + + 'Contact Qveris to obtain an API token.' + ); + } + + return new QverisClient({ apiKey }); +} + diff --git a/src/index.ts b/src/index.ts new file mode 100644 index 0000000..dfb4ac5 --- /dev/null +++ b/src/index.ts @@ -0,0 +1,271 @@ +#!/usr/bin/env node +/** + * Qveris MCP Server + * + * A Model Context Protocol (MCP) server that provides access to the Qveris + * tool discovery and execution API. Enables LLMs to dynamically search for + * and execute third-party tools via natural language. + * + * @module @qverisai/sdk + * @version 0.1.0 + * + * @example + * Configure in Claude Desktop or Cursor: + * ```json + * { + * "mcpServers": { + * "qveris": { + * "command": "npx", + * "args": ["@qverisai/sdk"], + * "env": { "QVERIS_API_KEY": "your-api-key" } + * } + * } + * } + * ``` + */ + +import { Server } from '@modelcontextprotocol/sdk/server/index.js'; +import { StdioServerTransport } from '@modelcontextprotocol/sdk/server/stdio.js'; +import { + CallToolRequestSchema, + ListToolsRequestSchema, + type CallToolResult, +} from '@modelcontextprotocol/sdk/types.js'; +import { v4 as uuidv4 } from 'uuid'; + +import { createClientFromEnv, QverisClient } from './api/client.js'; +import { + searchToolsSchema, + executeSearchTools, + type SearchToolsInput, +} from './tools/search.js'; +import { + executeToolSchema, + executeExecuteTool, + type ExecuteToolInput, +} from './tools/execute.js'; +import type { ApiError } from './types.js'; + +// ============================================================================ +// Server Configuration +// ============================================================================ + +const SERVER_NAME = 'qveris'; +const SERVER_VERSION = '0.1.0'; + +/** + * Main entry point for the Qveris MCP Server. + * + * Sets up the MCP server with stdio transport, registers the search_tools + * and execute_tool handlers, and starts listening for requests. + */ +async function main(): Promise { + // Initialize API client (validates QVERIS_API_KEY) + let client: QverisClient; + try { + client = createClientFromEnv(); + } catch (error) { + console.error( + error instanceof Error ? error.message : 'Failed to initialize Qveris client' + ); + process.exit(1); + } + + // Generate a default session ID for this server instance + const defaultSessionId = uuidv4(); + + // Create MCP server + const server = new Server( + { + name: SERVER_NAME, + version: SERVER_VERSION, + }, + { + capabilities: { + tools: {}, + }, + } + ); + + // ========================================================================= + // Tool Handlers + // ========================================================================= + + /** + * Lists available tools. + * Returns the search_tools and execute_tool definitions. + */ + server.setRequestHandler(ListToolsRequestSchema, async () => { + return { + tools: [ + { + name: 'search_tools', + description: + 'Search for available tools based on natural language queries. ' + + 'Returns relevant tools that can help accomplish tasks. ' + + 'Use this to discover tools before executing them.', + inputSchema: searchToolsSchema, + }, + { + name: 'execute_tool', + description: + 'Execute a specific remote tool with provided parameters. ' + + 'The tool_id and search_id must come from a previous search_tools call. ' + + 'Pass parameters to the tool through params_to_tool as a JSON string.', + inputSchema: executeToolSchema, + }, + ], + }; + }); + + /** + * Handles tool execution requests. + * Routes to the appropriate handler based on tool name. + */ + server.setRequestHandler(CallToolRequestSchema, async (request): Promise => { + const { name, arguments: args } = request.params; + + try { + if (name === 'search_tools') { + const input = args as unknown as SearchToolsInput; + + // Validate required fields + if (!input.query || typeof input.query !== 'string') { + return { + content: [ + { + type: 'text', + text: JSON.stringify({ + error: 'Missing required parameter: query', + hint: 'Provide a natural language query describing the tool capability you need', + }), + }, + ], + isError: true, + }; + } + + const result = await executeSearchTools(client, input, defaultSessionId); + + return { + content: [ + { + type: 'text', + text: JSON.stringify(result, null, 2), + }, + ], + }; + } + + if (name === 'execute_tool') { + const input = args as unknown as ExecuteToolInput; + + // Validate required fields + const missingFields: string[] = []; + if (!input.tool_id) missingFields.push('tool_id'); + if (!input.search_id) missingFields.push('search_id'); + if (!input.params_to_tool) missingFields.push('params_to_tool'); + + if (missingFields.length > 0) { + return { + content: [ + { + type: 'text', + text: JSON.stringify({ + error: `Missing required parameters: ${missingFields.join(', ')}`, + hint: 'tool_id and search_id must come from a previous search_tools call', + }), + }, + ], + isError: true, + }; + } + + const result = await executeExecuteTool(client, input, defaultSessionId); + + return { + content: [ + { + type: 'text', + text: JSON.stringify(result, null, 2), + }, + ], + }; + } + + // Unknown tool + return { + content: [ + { + type: 'text', + text: JSON.stringify({ + error: `Unknown tool: ${name}`, + available_tools: ['search_tools', 'execute_tool'], + }), + }, + ], + isError: true, + }; + } catch (error) { + // Handle API errors + if (isApiError(error)) { + return { + content: [ + { + type: 'text', + text: JSON.stringify({ + error: error.message, + status: error.status, + details: error.details, + }), + }, + ], + isError: true, + }; + } + + // Handle other errors + return { + content: [ + { + type: 'text', + text: JSON.stringify({ + error: error instanceof Error ? error.message : 'Unknown error occurred', + }), + }, + ], + isError: true, + }; + } + }); + + // ========================================================================= + // Start Server + // ========================================================================= + + const transport = new StdioServerTransport(); + await server.connect(transport); + + // Log startup to stderr (stdout is reserved for MCP protocol) + console.error(`Qveris MCP Server v${SERVER_VERSION} started`); + console.error(`Session ID: ${defaultSessionId}`); +} + +/** + * Type guard for API errors. + */ +function isApiError(error: unknown): error is ApiError { + return ( + typeof error === 'object' && + error !== null && + 'status' in error && + 'message' in error + ); +} + +// Run the server +main().catch((error) => { + console.error('Fatal error:', error); + process.exit(1); +}); + diff --git a/src/tools/execute.test.ts b/src/tools/execute.test.ts new file mode 100644 index 0000000..00d76ba --- /dev/null +++ b/src/tools/execute.test.ts @@ -0,0 +1,226 @@ +/** + * Unit tests for the execute_tool MCP tool + */ + +import { describe, it, expect, vi, beforeEach, afterEach } from 'vitest'; +import { executeExecuteTool, executeToolSchema } from './execute.js'; +import { QverisClient } from '../api/client.js'; +import type { ExecuteResponse } from '../types.js'; + +describe('execute_tool', () => { + describe('executeToolSchema', () => { + it('should have tool_id, search_id, params_to_tool as required', () => { + expect(executeToolSchema.required).toContain('tool_id'); + expect(executeToolSchema.required).toContain('search_id'); + expect(executeToolSchema.required).toContain('params_to_tool'); + }); + + it('should define tool_id as string', () => { + expect(executeToolSchema.properties.tool_id.type).toBe('string'); + }); + + it('should define search_id as string', () => { + expect(executeToolSchema.properties.search_id.type).toBe('string'); + }); + + it('should define params_to_tool as string (JSON)', () => { + expect(executeToolSchema.properties.params_to_tool.type).toBe('string'); + }); + + it('should define max_data_size with default', () => { + expect(executeToolSchema.properties.max_data_size.type).toBe('number'); + expect(executeToolSchema.properties.max_data_size.default).toBe(20480); + }); + + it('should define session_id as optional', () => { + expect(executeToolSchema.properties.session_id.type).toBe('string'); + expect(executeToolSchema.required).not.toContain('session_id'); + }); + }); + + describe('executeExecuteTool', () => { + let mockClient: QverisClient; + let executeToolMock: ReturnType; + + beforeEach(() => { + executeToolMock = vi.fn(); + mockClient = { + executeTool: executeToolMock, + } as unknown as QverisClient; + }); + + afterEach(() => { + vi.restoreAllMocks(); + }); + + it('should parse JSON params and call client.executeTool', async () => { + const mockResponse: ExecuteResponse = { + execution_id: 'exec-123', + tool_id: 'weather-tool', + parameters: { city: 'Tokyo', units: 'metric' }, + success: true, + result: { data: { temperature: 25, humidity: 60 } }, + created_at: '2025-01-15T10:00:00Z', + }; + + executeToolMock.mockResolvedValueOnce(mockResponse); + + const result = await executeExecuteTool( + mockClient, + { + tool_id: 'weather-tool', + search_id: 'search-123', + params_to_tool: '{"city": "Tokyo", "units": "metric"}', + }, + 'default-session' + ); + + expect(executeToolMock).toHaveBeenCalledWith('weather-tool', { + search_id: 'search-123', + session_id: 'default-session', + parameters: { city: 'Tokyo', units: 'metric' }, + max_data_size: undefined, + }); + + expect(result).toEqual(mockResponse); + }); + + it('should use provided session_id over default', async () => { + executeToolMock.mockResolvedValueOnce({ + execution_id: 'exec-123', + tool_id: 'tool-1', + parameters: {}, + success: true, + created_at: '2025-01-15T10:00:00Z', + }); + + await executeExecuteTool( + mockClient, + { + tool_id: 'tool-1', + search_id: 'search-123', + params_to_tool: '{}', + session_id: 'custom-session', + }, + 'default-session' + ); + + expect(executeToolMock).toHaveBeenCalledWith('tool-1', { + search_id: 'search-123', + session_id: 'custom-session', + parameters: {}, + max_data_size: undefined, + }); + }); + + it('should pass max_data_size when provided', async () => { + executeToolMock.mockResolvedValueOnce({ + execution_id: 'exec-123', + tool_id: 'tool-1', + parameters: {}, + success: true, + created_at: '2025-01-15T10:00:00Z', + }); + + await executeExecuteTool( + mockClient, + { + tool_id: 'tool-1', + search_id: 'search-123', + params_to_tool: '{}', + max_data_size: 102400, + }, + 'default-session' + ); + + expect(executeToolMock).toHaveBeenCalledWith('tool-1', { + search_id: 'search-123', + session_id: 'default-session', + parameters: {}, + max_data_size: 102400, + }); + }); + + it('should throw error for invalid JSON in params_to_tool', async () => { + await expect( + executeExecuteTool( + mockClient, + { + tool_id: 'tool-1', + search_id: 'search-123', + params_to_tool: 'not valid json', + }, + 'default-session' + ) + ).rejects.toThrow('Invalid JSON in params_to_tool'); + }); + + it('should include original params in JSON parse error message', async () => { + await expect( + executeExecuteTool( + mockClient, + { + tool_id: 'tool-1', + search_id: 'search-123', + params_to_tool: '{broken', + }, + 'default-session' + ) + ).rejects.toThrow('Received: {broken'); + }); + + it('should handle complex nested parameters', async () => { + const complexParams = { + filters: { + category: 'electronics', + priceRange: { min: 100, max: 500 }, + }, + sort: ['price', 'rating'], + limit: 10, + }; + + executeToolMock.mockResolvedValueOnce({ + execution_id: 'exec-123', + tool_id: 'search-products', + parameters: complexParams, + success: true, + created_at: '2025-01-15T10:00:00Z', + }); + + await executeExecuteTool( + mockClient, + { + tool_id: 'search-products', + search_id: 'search-123', + params_to_tool: JSON.stringify(complexParams), + }, + 'default-session' + ); + + expect(executeToolMock).toHaveBeenCalledWith('search-products', { + search_id: 'search-123', + session_id: 'default-session', + parameters: complexParams, + max_data_size: undefined, + }); + }); + + it('should propagate errors from client', async () => { + const error = { status: 429, message: 'Rate limit exceeded' }; + executeToolMock.mockRejectedValueOnce(error); + + await expect( + executeExecuteTool( + mockClient, + { + tool_id: 'tool-1', + search_id: 'search-123', + params_to_tool: '{}', + }, + 'session' + ) + ).rejects.toEqual(error); + }); + }); +}); + diff --git a/src/tools/execute.ts b/src/tools/execute.ts new file mode 100644 index 0000000..dcec8c4 --- /dev/null +++ b/src/tools/execute.ts @@ -0,0 +1,132 @@ +/** + * execute_tool MCP Tool Implementation + * + * Executes a specific remote tool with provided parameters. + * The tool_id must come from a previous search_tools call. + * + * @module tools/execute + */ + +import type { QverisClient } from '../api/client.js'; +import type { ExecuteResponse } from '../types.js'; + +/** + * Input parameters for the execute_tool tool. + */ +export interface ExecuteToolInput { + /** + * The ID of the remote tool to execute. + * Must be obtained from search_tools results. + */ + tool_id: string; + + /** + * The search_id from the search_tools response that returned this tool. + * Links the execution to the original search for analytics and billing. + */ + search_id: string; + + /** + * JSON stringified dictionary of parameters to pass to the remote tool. + * Keys are parameter names, values can be of any type. + * + * @example '{"city": "London", "units": "metric"}' + * @example '{"query": "AI news", "limit": 10}' + */ + params_to_tool: string; + + /** + * Session identifier for tracking user sessions. + * If not provided, the server will use an auto-generated session ID. + */ + session_id?: string; + + /** + * Maximum size of response data in bytes. + * If the tool generates data longer than this limit, the response + * will be truncated and a download URL provided for the full content. + * + * @default 20480 (20KB) + * @minimum -1 (-1 means no limit) + */ + max_data_size?: number; +} + +/** + * JSON Schema for the execute_tool tool input. + * Used by MCP to validate and document the tool parameters. + */ +export const executeToolSchema = { + type: 'object' as const, + properties: { + tool_id: { + type: 'string', + description: + 'The ID of the remote tool to execute. Must come from a previous search_tools call.', + }, + search_id: { + type: 'string', + description: + 'The search_id from the search_tools response that returned this tool. ' + + 'Required for linking execution to the original search.', + }, + params_to_tool: { + type: 'string', + description: + 'A JSON stringified dictionary of parameters to pass to the remote tool. ' + + 'Keys are param names and values can be of any type. ' + + 'Example: \'{"city": "London", "units": "metric"}\'', + }, + session_id: { + type: 'string', + description: + 'Session identifier for tracking user sessions. ' + + 'If not provided, an auto-generated session ID will be used.', + }, + max_data_size: { + type: 'number', + description: + 'Maximum size of response data in bytes. ' + + 'If tool generates data longer than this, it will be truncated and a download URL provided. ' + + 'Use -1 for no limit. Default is 20480 (20KB).', + default: 20480, + }, + }, + required: ['tool_id', 'search_id', 'params_to_tool'], +}; + +/** + * Executes the execute_tool operation. + * + * @param client - Initialized Qveris API client + * @param input - Execution parameters + * @param defaultSessionId - Fallback session ID if not provided in input + * @returns Execution result from the tool + * @throws {Error} If params_to_tool is not valid JSON + */ +export async function executeExecuteTool( + client: QverisClient, + input: ExecuteToolInput, + defaultSessionId: string +): Promise { + // Parse the JSON parameters + let parameters: Record; + try { + parameters = JSON.parse(input.params_to_tool) as Record; + } catch (error) { + throw new Error( + `Invalid JSON in params_to_tool: ${error instanceof Error ? error.message : 'Unknown parse error'}. ` + + `Received: ${input.params_to_tool}` + ); + } + + const response = await client.executeTool(input.tool_id, { + search_id: input.search_id, + session_id: input.session_id ?? defaultSessionId, + parameters, + max_data_size: input.max_data_size, + }); + + return response; +} + diff --git a/src/tools/search.test.ts b/src/tools/search.test.ts new file mode 100644 index 0000000..821867a --- /dev/null +++ b/src/tools/search.test.ts @@ -0,0 +1,126 @@ +/** + * Unit tests for the search_tools MCP tool + */ + +import { describe, it, expect, vi, beforeEach, afterEach } from 'vitest'; +import { executeSearchTools, searchToolsSchema } from './search.js'; +import { QverisClient } from '../api/client.js'; +import type { SearchResponse } from '../types.js'; + +describe('search_tools', () => { + describe('searchToolsSchema', () => { + it('should have query as required parameter', () => { + expect(searchToolsSchema.required).toContain('query'); + }); + + it('should define query as string type', () => { + expect(searchToolsSchema.properties.query.type).toBe('string'); + }); + + it('should define limit with constraints', () => { + expect(searchToolsSchema.properties.limit.type).toBe('number'); + expect(searchToolsSchema.properties.limit.default).toBe(20); + expect(searchToolsSchema.properties.limit.minimum).toBe(1); + expect(searchToolsSchema.properties.limit.maximum).toBe(100); + }); + + it('should define session_id as optional string', () => { + expect(searchToolsSchema.properties.session_id.type).toBe('string'); + expect(searchToolsSchema.required).not.toContain('session_id'); + }); + }); + + describe('executeSearchTools', () => { + let mockClient: QverisClient; + let searchToolsMock: ReturnType; + + beforeEach(() => { + searchToolsMock = vi.fn(); + mockClient = { + searchTools: searchToolsMock, + } as unknown as QverisClient; + }); + + afterEach(() => { + vi.restoreAllMocks(); + }); + + it('should call client.searchTools with correct parameters', async () => { + const mockResponse: SearchResponse = { + search_id: 'search-123', + results: [ + { + tool_id: 'weather-1', + name: 'Weather API', + description: 'Get weather data', + }, + ], + total: 1, + }; + + searchToolsMock.mockResolvedValueOnce(mockResponse); + + const result = await executeSearchTools( + mockClient, + { query: 'weather API', limit: 5 }, + 'default-session' + ); + + expect(searchToolsMock).toHaveBeenCalledWith({ + query: 'weather API', + limit: 5, + session_id: 'default-session', + }); + + expect(result).toEqual(mockResponse); + }); + + it('should use default limit of 20 when not provided', async () => { + searchToolsMock.mockResolvedValueOnce({ + search_id: 'search-123', + results: [], + }); + + await executeSearchTools( + mockClient, + { query: 'test' }, + 'default-session' + ); + + expect(searchToolsMock).toHaveBeenCalledWith({ + query: 'test', + limit: 20, + session_id: 'default-session', + }); + }); + + it('should use provided session_id over default', async () => { + searchToolsMock.mockResolvedValueOnce({ + search_id: 'search-123', + results: [], + }); + + await executeSearchTools( + mockClient, + { query: 'test', session_id: 'custom-session' }, + 'default-session' + ); + + expect(searchToolsMock).toHaveBeenCalledWith({ + query: 'test', + limit: 20, + session_id: 'custom-session', + }); + }); + + it('should propagate errors from client', async () => { + const error = { status: 500, message: 'Server error' }; + searchToolsMock.mockRejectedValueOnce(error); + + await expect( + executeSearchTools(mockClient, { query: 'test' }, 'session') + ).rejects.toEqual(error); + }); + }); +}); + diff --git a/src/tools/search.ts b/src/tools/search.ts new file mode 100644 index 0000000..930a511 --- /dev/null +++ b/src/tools/search.ts @@ -0,0 +1,94 @@ +/** + * search_tools MCP Tool Implementation + * + * Searches for available tools based on natural language queries. + * Returns relevant tools that can help accomplish tasks. + * + * @module tools/search + */ + +import type { QverisClient } from '../api/client.js'; +import type { SearchResponse } from '../types.js'; + +/** + * Input parameters for the search_tools tool. + */ +export interface SearchToolsInput { + /** + * The search query describing the general capability of the tool. + * Should describe what you want to accomplish, not specific parameters. + * + * @example "weather forecast API" + * @example "send email notification" + * @example "stock price lookup" + */ + query: string; + + /** + * Maximum number of results to return. + * @default 20 + * @minimum 1 + * @maximum 100 + */ + limit?: number; + + /** + * Session identifier for tracking user sessions. + * If not provided, the server will use an auto-generated session ID. + */ + session_id?: string; +} + +/** + * JSON Schema for the search_tools tool input. + * Used by MCP to validate and document the tool parameters. + */ +export const searchToolsSchema = { + type: 'object' as const, + properties: { + query: { + type: 'string', + description: + 'The search query describing the general capability of the tool. ' + + 'Describe what you want to accomplish, not specific params you want to pass to the tool later. ' + + 'Example: "weather forecast API", "send email", "stock prices"', + }, + limit: { + type: 'number', + description: 'Maximum number of results to return (1-100)', + default: 20, + minimum: 1, + maximum: 100, + }, + session_id: { + type: 'string', + description: + 'Session identifier for tracking user sessions. ' + + 'If not provided, an auto-generated session ID will be used.', + }, + }, + required: ['query'], +}; + +/** + * Executes the search_tools operation. + * + * @param client - Initialized Qveris API client + * @param input - Search parameters + * @param defaultSessionId - Fallback session ID if not provided in input + * @returns Search results with matching tools + */ +export async function executeSearchTools( + client: QverisClient, + input: SearchToolsInput, + defaultSessionId: string +): Promise { + const response = await client.searchTools({ + query: input.query, + limit: input.limit ?? 20, + session_id: input.session_id ?? defaultSessionId, + }); + + return response; +} + diff --git a/src/types.ts b/src/types.ts new file mode 100644 index 0000000..5105b90 --- /dev/null +++ b/src/types.ts @@ -0,0 +1,291 @@ +/** + * Qveris API Type Definitions + * + * This module contains TypeScript types that match the Qveris API v0.1.6 schema. + * All types are fully documented for IDE autocompletion and developer experience. + * + * @module types + * @see {@link https://qveris.ai/api/v1} Qveris API Base URL + */ + +// ============================================================================ +// Search API Types +// ============================================================================ + +/** + * Request body for the Search Tools API. + * + * @example + * ```typescript + * const request: SearchRequest = { + * query: "weather forecast API", + * limit: 10, + * session_id: "user-session-123" + * }; + * ``` + */ +export interface SearchRequest { + /** + * Natural language search query describing the tool capability you need. + * @example "weather forecast API" + * @example "send email notification" + */ + query: string; + + /** + * Maximum number of results to return. + * @default 20 + * @minimum 1 + * @maximum 100 + */ + limit?: number; + + /** + * Session identifier for tracking user sessions. + * Same ID corresponds to the same user session. + */ + session_id?: string; +} + +/** + * Parameter definition for a tool. + * Describes a single input parameter that a tool accepts. + */ +export interface ToolParameter { + /** Parameter name (used as key in the parameters object) */ + name: string; + + /** Data type of the parameter */ + type: 'string' | 'number' | 'boolean' | 'array' | 'object'; + + /** Whether this parameter must be provided */ + required: boolean; + + /** Human-readable description of what this parameter does */ + description: string; + + /** If present, restricts valid values to this list */ + enum?: string[]; +} + +/** + * Example usage for a tool, showing sample parameters. + */ +export interface ToolExamples { + /** Sample parameter values demonstrating typical usage */ + sample_parameters?: Record; +} + +/** + * Information about a tool returned from search results. + * Contains everything needed to understand and execute the tool. + */ +export interface ToolInfo { + /** Unique identifier for the tool (used in execute_tool) */ + tool_id: string; + + /** Human-readable display name */ + name: string; + + /** Detailed description of what the tool does */ + description: string; + + /** Name of the organization/service providing this tool */ + provider_name?: string; + + /** Description of the provider */ + provider_description?: string; + + /** + * Geographic availability of the tool. + * - "global" - Available worldwide + * - "US|CA" - Whitelist: only available in US and Canada + * - "!CN|RU" - Blacklist: not available in China and Russia + */ + region?: string; + + /** Average response latency in milliseconds */ + avg_latency_ms?: number; + + /** List of parameters the tool accepts */ + params?: ToolParameter[]; + + /** Usage examples with sample parameters */ + examples?: ToolExamples; +} + +/** + * Performance statistics for a search operation. + */ +export interface SearchStats { + /** Total time to complete the search in milliseconds */ + search_time_ms: number; +} + +/** + * Response from the Search Tools API. + */ +export interface SearchResponse { + /** The original search query */ + query?: string; + + /** + * Unique identifier for this search. + * Required when calling execute_tool for any tool from these results. + */ + search_id: string; + + /** Total number of results returned */ + total?: number; + + /** Array of matching tools */ + results: ToolInfo[]; + + /** Search performance statistics */ + stats?: SearchStats; +} + +// ============================================================================ +// Execute API Types +// ============================================================================ + +/** + * Request body for the Execute Tool API. + * + * @example + * ```typescript + * const request: ExecuteRequest = { + * search_id: "abc123", + * session_id: "user-session-123", + * parameters: { city: "London", units: "metric" }, + * max_data_size: 20480 + * }; + * ``` + */ +export interface ExecuteRequest { + /** + * The search_id from the search that returned this tool. + * Links the execution to the original search for analytics. + */ + search_id: string; + + /** + * Session identifier for tracking user sessions. + * Same ID corresponds to the same user session. + */ + session_id?: string; + + /** + * Key-value pairs of parameters to pass to the tool. + * Must match the parameter schema from the tool's definition. + */ + parameters: Record; + + /** + * Maximum size of response data in bytes. + * If the tool generates data longer than this, it will be truncated + * and a download URL will be provided for the full content. + * @default 20480 (20KB) + * @minimum -1 (-1 means no limit) + */ + max_data_size?: number; +} + +/** + * Result data when the response fits within max_data_size. + */ +export interface ExecuteResultData { + /** The actual result data from the tool execution */ + data: unknown; +} + +/** + * Result data when the response exceeds max_data_size. + * Provides truncated content and a URL to download the full result. + */ +export interface ExecuteResultTruncated { + /** Explanation message about the truncation */ + message: string; + + /** + * URL to download the complete result file. + * Valid for 120 minutes. + */ + full_content_file_url: string; + + /** + * The initial portion of the response (max_data_size bytes). + * Useful for previewing the data structure. + */ + truncated_content: string; +} + +/** + * Union type for execution results (either full data or truncated). + */ +export type ExecuteResult = ExecuteResultData | ExecuteResultTruncated; + +/** + * Response from the Execute Tool API. + */ +export interface ExecuteResponse { + /** Unique identifier for this execution record */ + execution_id: string; + + /** The tool that was executed */ + tool_id: string; + + /** The parameters that were passed to the tool */ + parameters: Record; + + /** + * The execution result. + * Contains either `data` (if within size limit) or truncation info. + */ + result?: ExecuteResult; + + /** Whether the execution completed successfully */ + success: boolean; + + /** + * Error message if execution failed. + * Common reasons: insufficient balance, quota exceeded, invalid parameters. + */ + error_message?: string | null; + + /** Execution duration in seconds */ + execution_time?: number; + + /** Timestamp of execution (ISO 8601 format) */ + created_at: string; +} + +// ============================================================================ +// API Client Types +// ============================================================================ + +/** + * Configuration options for the Qveris API client. + */ +export interface QverisClientConfig { + /** API authentication token */ + apiKey: string; + + /** Base URL for the API (defaults to production) */ + baseUrl?: string; +} + +/** + * Error response from the Qveris API. + */ +export interface ApiError { + /** HTTP status code */ + status: number; + + /** Error message */ + message: string; + + /** Original error details if available */ + details?: unknown; +} + diff --git a/tsconfig.json b/tsconfig.json new file mode 100644 index 0000000..97da0ce --- /dev/null +++ b/tsconfig.json @@ -0,0 +1,25 @@ +{ + "compilerOptions": { + "target": "ES2022", + "module": "NodeNext", + "moduleResolution": "NodeNext", + "lib": ["ES2022"], + "outDir": "dist", + "rootDir": "src", + "strict": true, + "esModuleInterop": true, + "skipLibCheck": true, + "forceConsistentCasingInFileNames": true, + "declaration": true, + "declarationMap": true, + "sourceMap": true, + "resolveJsonModule": true, + "noUnusedLocals": true, + "noUnusedParameters": true, + "noImplicitReturns": true, + "noFallthroughCasesInSwitch": true + }, + "include": ["src/**/*"], + "exclude": ["node_modules", "dist", "src/**/*.test.ts"] +} + diff --git a/vitest.config.ts b/vitest.config.ts new file mode 100644 index 0000000..2e84a7f --- /dev/null +++ b/vitest.config.ts @@ -0,0 +1,16 @@ +import { defineConfig } from 'vitest/config'; + +export default defineConfig({ + test: { + globals: true, + environment: 'node', + include: ['src/**/*.test.ts'], + coverage: { + provider: 'v8', + reporter: ['text', 'json', 'html'], + include: ['src/**/*.ts'], + exclude: ['src/**/*.test.ts', 'src/index.ts'], + }, + }, +}); +