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 by specifying the root path and project name. This sets up the files for chunking.
Lists all files in the configured project.
Searches for files in the project that contain specific text in their chunks. Parameters: project_name (string), search_term (string).
Finds chunks within a specific file that contain specific text. Parameters: project_name (string), file_path (string), search_term (string).
Fetches the full content of a specific chunk identified by its chunk ID. Parameters: chunk_id (string).
Lists the most recently checked out branches in the project. Parameters: project_name (string).
Generates a git diff between the current branch and a specified reference branch. Parameters: project_name (string), ref (string).
