Loading subscription status...
💡 Description
A Python codebase analysis RAG system that uses Abstract Syntax Tree (AST) to analyze Python code, extracting information (functions, classes, calls, variables, etc.) to store in a Weaviate vector database. It provides tools to query and understand codebases though Model Context Protocol (MCP) server. The system leverages Google's Gemini models for generating embeddings and natural language descriptions/answers about code.
📝 JSON Entries
{
"mcpServers": [
{
"CodebaseMCP": {
"env": {
"GEMINI_API_KEY": "YOUR_API_KEY_HERE",
"LLM_CONCURRENCY": "5",
"GENERATE_LLM_DESCRIPTIONS": "true"
},
"args": [
"src/code_analysis_mcp/mcp_server.py"
],
"command": "python"
}
}
]
}🛠️ Tools
WeaviateDockerGemini models
⚡ Features
- Code scanning of Python files.
- Vector storage using Weaviate.
- LLM enrichment for generating descriptions.
- RAG Q&A capabilities for natural language queries.
💬 Example Queries
- Extract functions and classes from the codebase.
- Generate natural language descriptions about code elements.