Code search MCP for Claude Code. Make entire codebase the context for any coding agent.
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Updated
Jul 14, 2026 - TypeScript
Code search MCP for Claude Code. Make entire codebase the context for any coding agent.
Exa MCP for web search and web crawling!
Sourcebot is a self-hosted tool that helps humans and agents understand your codebase.
Find code by asking what it does. A CLI for coding agents that uses Jev to discover relevant files and source context.
Code research platform for AI agents; find, understand, and prove context across your code and all of GitHub, in a fraction of the tokens. One toolset, MCP or CLI
A structural code search engine for Al agents.
An open-source, AI-powered application using Agentic CAG to chat with any public GitHub repository or developer profile, offering deep code analysis, visual architecture maps and security audits
Semantic codebase indexing and search for OpenCode, Claude, Codex, Pi, Jcode, and MCP hosts. Powered by Rust and tree-sitter.
Local AI-powered document search and editing with first-in-class hybrid retrieval, LLM answers, WebUI, REST API and MCP support for AI clients.
CLI & MCP for GitHits - The Code Context Layer for AI Coding Agents
Code intelligence CLI — function-level dependency graph across 34 languages, 34-tool MCP server for AI agents, complexity metrics, architecture boundary enforcement, CI quality gates, git diff impact with co-change analysis, hybrid semantic search. Fully local, zero API keys required.
Jev-powered semantic code search for coding agents — find behavior across repositories via CLI or MCP, with exact source excerpts and line numbers.
Repo memory for coding agents. Local-first MCP for Claude Code, Cursor, Windsurf, and Codex CLI: symbol graph, blast radius, diff-aware review, and git-pinned decisions. MIT; no API keys or code upload.
MCP Server for persistent code indexing. Gives AI assistants (Claude, Gemini, Copilot, Cursor) instant access to your codebase. 50x less context than grep.
Retrieval + inference offload for AI coding agents.
Local MCP server that gives AI coding agents persistent, searchable memory of your codebase
ContextAtlas — context infrastructure for AI coding agents: hybrid retrieval, project memory and retrieval observability via CLI, MCP server or embeddable library. Tree-sitter indexing, LanceDB vector search, FTS5 and token-aware context packing.
Local-first RAG knowledge base for Pi agents with hybrid code/doc search, reranking, diagnostics, and large-project indexing.
A semantic code search tool for intelligent, cross-repo context retrieval.
AST-aware code search and rewrite for the pi coding agent. Faithful port of the ast-grep tools from oh-my-openagent.
To associate your repository with the code-search topic, visit your repo's landing page and select "manage topics."