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.
暂无评论. 成为第一个评论的人！
登录以参与讨论
Highlight AIConfigure a project, which is a directory of files. Takes parameters: root_path (string), project_name (string).
List all files in the configured project. Takes parameter: project_name (string).
Search for files in the project containing specific text. Takes parameters: project_name (string), search_term (string).
Search for chunks in a specific file that contain specific text. Takes parameters: project_name (string), file_path (string), search_term (string).
View the full contents of a specific chunk. Takes parameter: chunk_id (string).
List the most recently checked out branches in the project. Takes parameter: project_name (string).
Generate a git diff between the current branch and a reference branch. Takes parameters: project_name (string), ref (string).
