Generate a compact codebase index for AI assistants — saves 50K+ tokens per conversation

👩‍💻 MCP server to index external repositories

A fast codebase indexer and knowledge wiki for AI agents.

Save 94% on AI coding tokens. Index your codebase, agents search instead of reading files. Works with Claude Code, Codex, Copilot, Cursor, Gemini CLI. Local MCP server, free, open source.

MCP Server for persistent code indexing. Gives AI assistants (Claude, Gemini, Copilot, Cursor) instant access to your codebase. 50x less context than grep.

MCP server with local vector search for your codebase. Smart indexing, semantic search, Git history — all offline.

The leading, most token-efficient MCP server for documentation exploration and retrieval via structured section indexing

One local, searchable index of your AI coding-agent history Claude Code, Codex, Cursor, Gemini & more. Keyword + semantic search, MCP server, CLI & VS Code extension.

A Model Context Protocol (MCP) for analyzing and querying GitHub repositories using the GitHub Chat API.

Fast and Accurate Code Search for Agents. Uses 99% fewer tokens than grep+read

Nia is a context-augmentation layer for agents, primarily designed for coding agents. It provides them with an up-to-date knowledge base and improves their performance by 27%.

Local code intelligence MCP server and CLI for AI coding agents

Local RAG MCP server for Claude Code — hybrid search (semantic + BM25), cross-encoder reranking, 13 MCP tools, 20 format parsers. Zero external servers, zero API keys.