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This PR introduces comprehensive MCP (Model
Context Protocol) support to enhance Codebuff's
code assistance capabilities. The implementation
includes:

Key Features Added

  1. MCP Server Management System:

    • Implemented McpServerManager to handle MCP
      server lifecycle (initialization, startup,
      shutdown)
    • Added configuration loading from both
      workspace and global settings
    • Created server process management with
      proper error handling and cleanup
  2. New Specialized Agents:

    • Context7 Documentation Expert Agent:
      Provides up-to-date, version-specific
      documentation and code examples by directly
      accessing library sources
    • Sequential Deep Thinker Agent: Uses MCP
      Sequential Thinking protocol for
      step-by-step analysis, revision, and
      synthesis of complex problems
  3. MCP Tool Integration:

    • Added support for various MCP tools
      including Context7 library resolution and
      documentation fetching
    • Implemented filesystem operations through
      MCP protocol
    • Integrated sequential thinking capabilities
      for complex problem solving
  4. CLI Enhancements:

    • Added MCP status command to show connected
      servers and available tools
    • Improved agent spawning with MCP tool
      awareness

Technical Implementation

The MCP support enables Codebuff to:

  • Access real-time, accurate documentation
    directly from library sources
  • Perform deep, step-by-step analysis of complex
    coding problems
  • Maintain context across multiple tool
    interactions
  • Provide more precise code suggestions and error
    resolution

This enhancement significantly improves the
development experience by offering more accurate,
context-aware assistance while reducing
hallucinations and outdated information issues
commonly found in AI coding assistants.

Benefits

  • Enhanced Accuracy: Direct source documentation
    access eliminates outdated or incorrect
    information
  • Improved Problem Solving: Sequential thinking
    capabilities for complex multi-step problems
  • Better Context Understanding: Maintains
    conversation and code context across tool
    interactions
  • Extensibility: Modular design allows for easy
    addition of new MCP servers and tools

This contribution aligns with Codebuff's goal of
providing deep customizability and leveraging the
latest AI capabilities to deliver superior
coding assistance.

…Model Context Protocol) support to enable more sophisticated code analysis and assistance features. This includes:\n- MCP client integration\n- Context-aware code suggestions\n- Improved error detection and resolution\n- Enhanced documentation generation\n\nThis feature significantly improves the development experience by providing more accurate and relevant code assistance.

Co-authored-by: Qwen-Coder <[email protected]>
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Thanks for contributing!

A few questions: Do you have an overview of how this works? How would a user use this?

Some preliminary notes:

The agents in the .agents directory are standalone (not integrated with our base agent).. Instead of uploading them to the repo, you should run codebuff publish [agent-name] to publish them to the agent store under your name.

Also, try to run the formatter on all the files, it looks like there are quite a few whitespace changes that don't conform to our formatter.

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2 participants