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.
Nessuna recensione ancora. Sii il primo a recensire!
Accedi per unirti alla conversazione
Highlight AIConfigure a project, which is a directory of files. This prepares the files to be split into logical chunks.
Retrieve the file tree structure of the configured project.
Search for files in a project that contain specific text within their chunks. Parameter: project_name (string), search term (string).
Find chunks within a specific file that match a given search term. Parameters: project_name (string), file_path (string), search term (string).
Retrieve the full content of a specific chunk. Parameter: chunk_id (string).
List the most recently checked out branches in the configured project. Parameter: project_name (string).
Generate a git diff between the current branch (HEAD) and a specified reference branch. Parameters: project_name (string), ref (string).
