Feature Request: Model Context Protocol (MCP) Support

Implement support for the Model Context Protocol (MCP) within T3 Chat. This would allow T3 Chat to connect to MCP servers, enabling access to a wider range of data sources and tools, and potentially improving the quality and relevance of responses.

Benefits:

• Enhanced Contextual Awareness: By connecting to MCP servers, T3 Chat could access relevant information from various sources (e.g., Google Drive, Slack, GitHub, Brave Search) to provide more informed and context-aware responses, and become slightly agentic, which brings me to the next point.

• Improved Agent Capabilities: MCP support would facilitate the development of more sophisticated AI agents within T3 Chat, capable of performing actions and interacting with external systems.

• Flexibility and Interoperability: MCP's open standard would allow T3 Chat to seamlessly integrate with a growing ecosystem of data sources and tools, and potentially switch between different LLM providers.

• Data Security: MCP's architecture emphasizes secure data access, ensuring that sensitive information is protected.

Implementation Details:

• Implement an MCP client within T3 Chat that can connect to MCP servers.

• Provide a user interface for configuring and managing MCP server connections and credentials/API keys.

• Develop mechanisms for incorporating data retrieved from MCP servers into T3 Chat's responses and actions.

• Consider supporting pre-built MCP servers for popular enterprise systems.

• Also consider having a Desktop Application like Claude where users can run their own MCP servers locally

Use Cases:

• A user could ask T3 Chat to summarize a document stored in Google Drive, with T3 Chat using MCP to access the document.

• T3 Chat could be used to create a GitHub issue based on a conversation, using MCP to interact with the GitHub API.

• T3 Chat could access real-time data from a database via MCP to answer questions about current trends.

Priority:

High - Given the potential benefits for enhancing T3 Chat's capabilities and expanding its integration options.

Additional Notes:

• Consider leveraging the open-source MCP SDKs (Python, TypeScript, Kotlin) to accelerate development.

• Explore the example MCP servers and clients provided by Anthropic for inspiration and guidance.