This MCP server enables AI models to analyze local Python codebases using abstract syntax trees, providing tools for file structure analysis, symbol search, import graphing, docstring auditing, and refactoring prompts without loading entire source files into context.
MCP server enabling AI assistants to inspect and manage Python environments via uv, including package management, virtual environments, Python versions, tools, and security auditing.
An MCP server that gives LLMs structured, read-only insight into local code repositories — directory tree, languages, dependencies, scripts, and config files.
An MCP server that provides tools to fetch live, version-accurate documentation, changelogs, examples, and method signatures for npm and PyPI packages, preventing AI coding agents from hallucinating stale APIs.
