A custom server implementation that allows AI assistants to interact with GitLab repositories, providing capabilities for searching, fetching files, creating/updating content, and managing issues and merge requests.
Provides comprehensive Git operations as tools for AI assistants and applications. This server enables AI systems to interact with Git repositories, allowing to initialize, fetch, commit, log, status, etc..
A Python-based server for managing and analyzing code context for AI-assisted development. Provides real-time code analysis, project structure analysis, dependency tracking, and secure API endpoints.
This server provides an interface for performing basic file system operations such as navigation, reading, writing, and file analysis, allowing users to manage directories and files efficiently.
This server provides an API to query Large Language Models using context from local files, supporting various models and file types for context-aware responses.
A local-only MCP server that exposes git repository history, diffs, and status as tools for LLM clients, working entirely against a local git repo on disk.
