This MCP implementation, developed by Michael Jurasovic, provides a Python-based framework for building and interacting with MCP servers. It leverages libraries like FastMCP, GitPython, and SQLAlchemy to offer a robust foundation for creating MCP tools and resources. The implementation includes features for version control integration, database management, and asynchronous operations. It stands out by focusing on extensibility and developer-friendly abstractions, making it easier to create custom MCP servers and clients. This framework is particularly useful for developers looking to rapidly prototype and deploy MCP-compatible applications, especially those requiring integration with existing Python codebases or complex data processing workflows.
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Highlight AIConfigures a project directory of files for analysis, allowing the LLM to chunk and query the codebase.
Lists all files in the configured project, providing a file tree structure.
Searches for files in the project that contain specific text within their chunks.
Finds and lists chunks in a specified file that contain a specific search term.
Fetches the full content of a specific chunk identified by its chunk ID.
Lists the most recently checked out branches in a project, useful for identifying branches to compare.
Generates a git diff between the current branch and a specified reference branch.
