Python Codebase Analysis RAG
An MCP server that analyzes Python codebases using AST, stores code elements in a vector database, and enables natural language queries about code structure and functionality using RAG with Google's Gemini models.
What is Python Codebase Analysis RAG?
Python Codebase Analysis RAG is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to mcp server that analyzes python codebases using ast, stores code elements in a vector database, and enables natural language queries about code structure and functionality using rag with google's gemi...
An MCP server that analyzes Python codebases using AST, stores code elements in a vector database, and enables natural language queries about code structure and functionality using RAG with Google's Gemini models.
This server falls under the Coding Agents category on MCPgee, the world's largest MCP server directory with 33,000+ servers.
Features
- An MCP server that analyzes Python codebases using AST, stor
Use Cases
Maintainer
Works with
Installation
Manual Installation
npx python-codebase-analysis-rag-systemConfiguration
Configuration Details
claude_desktop_config.json
Performance
Response Metrics
Resource Usage
Frequently Asked Questions about Python Codebase Analysis RAG
What is Python Codebase Analysis RAG?
Python Codebase Analysis RAG is a Model Context Protocol (MCP) server that mcp server that analyzes python codebases using ast, stores code elements in a vector database, and enables natural language queries about code structure and functionality using rag with google's gemini models. It connects AI assistants to external tools and data sources through a standardized interface.
How do I install Python Codebase Analysis RAG?
Follow the installation instructions on the Python Codebase Analysis RAG GitHub repository. Clone the repo, install dependencies, and add the server config to your AI client.
Which AI clients work with Python Codebase Analysis RAG?
Python Codebase Analysis RAG works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.
Is Python Codebase Analysis RAG free to use?
Yes, Python Codebase Analysis RAG is open source and available under the MIT license. You can use it freely in both personal and commercial projects.
Python Codebase Analysis RAG Alternatives — Similar Coding Agents Servers
Looking for alternatives to Python Codebase Analysis RAG? Here are other popular coding agents servers you can use with Claude, Cursor, and VS Code.
Dify
★ 142.2kProduction-ready platform for agentic workflow development.
Ruflo
★ 54.0k🌊 The leading agent orchestration platform for Claude. Deploy intelligent multi-agent swarms, coordinate autonomous workflows, and build conversational AI systems. Features enterprise-grade architecture, self-learning swarm intelligence, RAG integrat
Goose
★ 45.7kan open source, extensible AI agent that goes beyond code suggestions - install, execute, edit, and test with any LLM
Antigravity Awesome Skills
★ 38.3kInstallable GitHub library of 1,400+ agentic skills for Claude Code, Cursor, Codex CLI, Gemini CLI, Antigravity, and more. Includes installer CLI, bundles, workflows, and official/community skill collections.
AgentScope
★ 25.5kBuild and run agents you can see, understand and trust.
Serena
★ 24.5kA coding agent toolkit that provides IDE-like semantic code retrieval and editing tools, enabling LLMs to efficiently navigate and modify codebases using symbol-level operations instead of basic file reading and string replacements.
Browse More Coding Agents MCP Servers
Explore all coding agents servers available in the MCPgee directory. Each server includes setup guides for Claude, Cursor, and VS Code.
Set Up Python Codebase Analysis RAG in Your Editor
Choose your AI client for step-by-step setup instructions.
Quick Config Preview
Add this to your claude_desktop_config.json or .cursor/mcp.json
Ready to use Python Codebase Analysis RAG?
Browse our complete directory of 33,000+ MCP servers, read setup guides for your editor, and start building with the Model Context Protocol.