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Consider MCP server over seperate embeddings server for easier integration with modern agentic interfaces #29

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@Aryan10

Issue Title: Integration of MCP (Model Context Protocol) Servers

Issue Description:

When this project was initially conceived and developed, Model Context Protocol (MCP) servers were not yet prevalent or widely adopted in the AI ecosystem. Given the current shift toward standardized protocols for connecting AI agents to external data and tools, I believe integrating MCP support would significantly enhance the utility and interoperability of DistillNews.

By adopting this standard, we could allow the project to interface seamlessly with a broader range of LLM-powered agents and data sources, moving away from custom implementations and toward a more modular, industry-standard architecture.

Potential Benefits of MCP Integration:

  • Interoperability: Easier connection with various AI environments and development platforms.
  • Standardized Tooling: Ability to leverage existing MCP-compliant tools for news retrieval and processing.
  • Future-Proofing: Alignment with the evolving standards for AI agentic workflows.
  • Reduced Complexity: Replacing bespoke integrations with a unified protocol reduces long-term maintenance burdens.

I would like to open a discussion on whether we should begin refactoring current data ingestion modules to support MCP, or if we should prioritize a bridge implementation to allow existing features to communicate via the protocol.

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