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 AIConfigure a project located at the specified root path. This prepares the files for chunking.
List all files in the specified project, providing a file tree structure.
Search for files in the specified project that contain specific text in their chunks.
Find and return a list of chunk IDs in the specified file that contain the given search term.
Retrieve and return the full content of a specific chunk identified by its chunk ID.
List the most recently checked out branches in the specified project.
Generate and return the git diff between the current branch (HEAD) and a specified reference branch.
