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codebase-memory-mcp

DeusData

This MCP server provides high-performance code intelligence to AI agents by indexing codebases into a knowledge graph for faster, token-efficient queries.

An MCP server that acts as an IDE for coding agents, providing semantic code retrieval, editing, refactoring, and debugging tools to improve agent efficiency and reliability in complex codebases.

Local-first search engine and MCP server that provides AI agents with code search, memory, and RAG capabilities.

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.

Indexes local code into a queryable graph to provide AI agents with deep structural context of your codebase.

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

This high-performance MCP server provides code intelligence for AI agents, supporting 257 languages, optimizing context windows to reduce token usage by up to 50x, and running 100% locally.

This MCP server provides agents with deep codebase understanding, git history, and web research for contextualized software development.

A local MCP server and CLI providing coding agents with a persistent, Git-versioned map of the entire codebase for long-term context.

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

A free macOS app with a bundled MCP server that builds focused code context from files, CodeMaps and Git diffs for your coding agents.

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

Codanna provides local code intelligence, symbol search, call graph analysis, and impact analysis as an MCP server or CLI for AI coding agents.