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 with the specified root path and project name. This prepares the project for further operations.
List all files in the configured project directory.
Search for files in the project that contain specific text within their chunks.
Find chunks within a specific file that match a given search term.
Retrieve the full content of a specific chunk identified by its chunk ID.
List the most recently checked out branches in the project.
Generate a git diff between the currently checked out branch and a specified reference branch.
