Slack MCP Server

A production-ready Model Context Protocol (MCP) server for comprehensive Slack integration. Enable AI assistants to interact seamlessly with Slack workspaces through standardized, secure tools.

🚀 Quick Start

For Warp.dev Users

1. Build the Docker image:

   git clone https://github.com/atarukun/slack-mcp.git
   cd slack-mcp
   docker build -t slack-mcp:latest .

2. Configure in Warp:

   {
     "slack-mcp": {
       "command": "docker",
       "args": [
         "run", "--rm", "-i",
         "-e", "SLACK_BOT_TOKEN=xoxb-your-actual-slack-bot-token",
         "slack-mcp:latest"
       ],
       "env": {},
       "working_directory": null,
       "start_on_launch": true
     }
   }

3. Get your Slack bot token from https://api.slack.com/apps

4. Start using Slack tools in Warp!

For Claude Desktop Users

See CONFIGURATION_GUIDE.md for detailed setup instructions.

✨ Features

🔐 Authentication & Security

• Secure bot token handling via environment variables
• Automatic token validation and format checking
• Rate limiting compliance (1-second minimum intervals)
• Support for Bot (xoxb-) and User (xoxp-) tokens

💬 Messaging Tools

• send_message: Send messages to channels, users, or threads
• Rich text formatting with Slack blocks and attachments
• Thread reply support with thread_ts parameter
• Multi-channel message broadcasting

🏢 Workspace Discovery

• list_channels: Categorized channel listing with beautiful formatting
• get_channel_info: Detailed channel information and statistics
• Support for public, private, and archived channels
• Member counts and channel metadata

👥 User Management

• get_user_info: Comprehensive user profile information
• Display names, titles, status messages, and timezone data
• Admin and bot account detection
• Email-based user lookup

🔌 Connection & Testing

• test_slack_connection: Comprehensive connectivity testing
• Workspace information display (name, domain, branding)
• API configuration details and diagnostics
• set_slack_token: Runtime token configuration

🏗️ Architecture

Docker-First Design

• Multi-stage Dockerfile optimized for development and production
• Python 3.12 with full async support
• uv package manager for fast, reliable dependency management
• Non-root user execution for security
• Built-in health checks and monitoring

MCP Protocol Implementation

• FastMCP Framework for automatic tool registration
• STDIO Transport for maximum client compatibility
• Async Operations with proper error handling
• Type Safety with full Pydantic validation
• Rate Limiting built into all API operations

📊 Current Status

Version: 1.4.1 (File operations removed)
Phases Completed: 6 of 13
Tools Available: 29 production-ready MCP tools Testing: Verified with ILDM workspace

Available Tools

Core Tools (Phases 1-3)

1. set_slack_token - Configure authentication
2. test_slack_connection - Verify connectivity and workspace info
3. send_message - Send formatted messages to channels/users
4. get_channel_info - Get detailed channel information
5. list_channels - Explore workspace channels with categorization
6. get_user_info - Retrieve comprehensive user profiles

Extended Messaging Tools (Phase 4)

7. update_message - Edit/update existing messages
8. delete_message - Delete messages from channels
9. pin_message - Pin important messages to channels
10. unpin_message - Unpin messages from channels
11. get_message_permalink - Generate shareable message links
12. schedule_message - Schedule messages for future delivery
13. get_thread_replies - Retrieve and display thread conversations
14. send_direct_message - Send private messages to users

Channel Management Tools (Phase 5)

15. create_channel - Create new public or private channels
16. archive_channel - Archive channels to preserve history
17. set_channel_topic - Set or update channel topics
18. set_channel_purpose - Set channel purposes/descriptions
19. join_channel - Join public channels
20. leave_channel - Leave channels
21. invite_to_channel - Invite users to channels
22. remove_from_channel - Remove users from channels
23. list_channel_members - List all members of a channel

User Management Tools (Phase 6)

24. get_user_info - Get detailed information about a Slack user
25. list_workspace_members - List all members in the workspace (with categorization)
26. search_slack_users - Search for users by name, email, or title
27. get_user_presence - Get a user's current presence status (active/away)
28. get_user_timezone - Get a user's timezone information
29. get_user_conversations - List all conversations a user is member of

📖 Documentation

• CONFIGURATION_GUIDE.md - Setup for different MCP clients
• ROADMAP.md - Development phases and future features
• CHANGELOG.md - Version history and changes
• Docker configurations - Multiple deployment examples

🛠️ Development

Prerequisites

• Docker and Docker Compose
• Python 3.12+ (for local development)
• Slack Bot Token from https://api.slack.com/apps

Local Development

# Clone and setup
git clone https://github.com/atarukun/slack-mcp.git
cd slack-mcp

# Build development container
docker build --target development -t slack-mcp-dev .

# Run with development setup
docker-compose up --build

# Run tests
source .venv/bin/activate
python test_tools.py

Production Deployment

# Build production image
docker build --target production -t slack-mcp:latest .

# Run production container
docker run --rm -i \
  -e SLACK_BOT_TOKEN=xoxb-your-token \
  slack-mcp:latest

🤝 Contributing

Contributions are welcome! This project follows a structured development roadmap:

• Phases 1-3: ✅ Core implementation (COMPLETED)
• Phases 4-5: ✅ Extended messaging, channel management (COMPLETED)
• Phase 6: User Management with basic tools (Completely moved more advanced user management to Phase 10)
• Phases 7-9: Search, interactive elements, and other advanced features
• Phases 10-13: Analytics, workflows, production features

See ROADMAP.md for detailed development phases.

📄 License

MIT License - see LICENSE file for details.

👨‍💻 Author

Brennon Church (atarukun@gmail.com)

🙏 Acknowledgments

• Model Context Protocol team for the excellent protocol
• Slack for their comprehensive API and SDK
• FastMCP framework for rapid development
• uv and Docker for excellent development tools

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