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This tool enables AI agents to perform fast and accurate code search in natural language, significantly reducing token usage.

code-graph-rag

vitali87

Allows AI agents to query, understand, and edit multi-language codebases using a knowledge graph built from code structure.

This MCP server provides semantic intelligence for large codebases by turning them into searchable, hierarchical feature graphs using RAG and AST analysis.

A token-efficient code research tool for AI agents to search and understand local files and GitHub repositories.

A code repository indexing MCP server that provides task-relevant context to coding LLMs, improving prompt quality and reducing hallucinations.