A precise local codebase map for AI coding agents: find, trace, and predict with file-line evidence.

Fast, fully-local code search & navigation for large codebases — cuts the tokens an AI coding agent spends finding code. Lexical + symbolic + semantic, memory-mapped, no GPU, no cloud.

Codebase Context gives AI agents understanding of your codebase through semantic code search, team conventions, patterns, and memory, so they use fewer tokens, spend less time, and produce better, more familiar output.

AI Architect Codebase: cross-platform code intelligence MCP for Claude Code, Codex, Gemini, Cursor, VS Code, and Zed. Tree-sitter AST to LadybugDB graph, hybrid search, and impact analysis.

Local repository code search and codebase memory for Codex, Claude Code, and MCP coding agents

Code intelligence MCP server — let AI assistants explore your entire codebase, find callers, and trace impact in one query.

Codebase graph analysis for AI agents — AST + call graph + type graph + hybrid semantic search via MCP

Codebase graph analysis for AI agents — AST + call graph + type graph + hybrid semantic search via MCP

MCP server for semantic code search and codebase analysis — Treesitter parsing, AST extraction, and embedding-based indexing for any LLM that supports MCP

MCP server for fast code navigation using Universal Ctags and ripgrep — find symbol definitions and references across any codebase

MCP server for semantic code search and codebase analysis — AST parsing, Tree-sitter, embeddings and vector search for AI assistants and LLMs

A map of your codebase for AI agents: code graph, search, call paths and change impact. No API key.

A map of your codebase for AI agents: code graph, search, call paths and change impact. No API key.

Turn your codebase into a knowledge graph. 11 MCP tools for AI code assistants — search, impact analysis, shortest path, semantic similarity, and more.

Find the architectural pain points in any codebase. Scores every file on layering, complexity, data access, failure handling, UI cost and trust-boundary risk against Google, Amazon and OWASP guidance. Ranked JSON for AI coding agents, an MCP server, a native viewer. Rust.

MCP server for AI coding agents - gives Claude Code, OpenCode, Cursor, and Codex CLI structural understanding of your codebase: symbol graph, blast radius, semantic search, conventions.

Stop making your AI re-read your codebase. Stacklit maps your repo once and keeps the map fresh. In a 450-session test, agents ran 82% fewer grep and glob searches. Free, MIT, one Go binary. Sets up Claude Code, Cursor, Codex and 22 more.

Local-first semantic code search for AI coding assistants. Indexes your codebase with local embeddings and serves context over MCP — find code by meaning, check impact before editing, and surface complexity hotspots, all without sending code externally.

Search and navigate local files with flexible glob patterns and precise text queries. Find matching files across codebases and surface relevant lines instantly. Focus on the folders that matter by choosing your working directory.

MCP server for codebase navigation — explains symbols, traces execution flows, and searches references via AST parsing and LLM. Supports PHP and TypeScript projects.

Cortex by AstroQuest — the code-context engine for AI agents. find, card, read, impact: understand a codebase in a few calls and ~10x fewer tokens. CLI + MCP server, local, Rust.

A powerful MCP (Model Context Protocol) server enabling AI assistants to analyze, search, and navigate codebases with precision. This tool bridges the gap between AI and your software projects by providing comprehensive code exploration capabilities including symbol search, definition finding, import analysis, and advanced code metrics.

High-performance Rust MCP server & CLI codebase indexer for AI agents. Unlocks deep codebase understanding through semantic vector search, structural graph traversal, and cross-repo dependency resolution. Empowers AI coding agents with semantic and structural search for maximum token efficiency.

The ripgrep of AI context: a zero-dependency C++23 CLI + MCP server for coding agents. Cut agent token costs by finding code without reading the repo, then keep large codebases off the complexity wall: blast radius, tests to run, quality deltas as you write. Every guess labelled, every loss published. Paddle out with a map.

Local codebase indexing and search tool. Supports hybrid search, flow tracing and impact analysis.

Cerne MCP: Semantic search for local codebases, enabling LLMs to navigate code via natural language queries.

A local MCP server that attaches to your codebase and gives Claude semantic search, symbol extraction, and auto-reindexing

Your own codebase tools like code semantic search

Find where Jev (TypeSafe Noul / Choice / Score) fits in your TypeScript / JavaScript codebase, and change it — from the terminal or from Claude Code / Cursor.

Token-efficient MCP server for codebase search, NuGet decompilation, and deep PDF reading.

Largescale MCP server for codebase search with background indexing and automatic updating to git commits in rust

MCP server bridging OpenGrok search engine with AI for instant context across massive codebases

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

Local hybrid-search (BM25 + vector + reranking) MCP server — ask questions of any local codebase or document folder, fully offline

AmanMCP is a local-first RAG MCP server for developers - providing hybrid search (BM25 + semantic) over codebases for AI assistants like Claude Code and Cursor.

Local codebase search MCP server for Claude Code, VS Code, Cursor, and AI agents.

Loupe for large codebases: focused MCP tools for code search, symbols, maps, diffs, and safe edits.

Index codebases for AI agents with a single local binary providing semantic search, symbol graphs, and grep capabilities without API keys.

Graph-based code intelligence with MCP server for AI assistants. Tree-sitter parsing, semantic search, relationship analysis. Your codebase as a searchable knowledge graph.

Go CLI + MCP server that lets AI/Copilot search and open files in your codebase (file/fuzzy content search + VS Code open integration).

Code intelligence for AI coding assistants — AST-level semantic code search with keyword boost. Index your codebase, search by meaning, keep everything local.

MCP server that gives AI assistants deep codebase understanding. Semantic graph, BM25 search, impact analysis, code review.

A free-text search tool that helps AI agents easily locate documentation and infrastructure configuration (like Helm or Terraform) across entire codebases.

Relay - open-source AI agent latency auditor. A local MCP server + CLI that finds, verifies, and fixes latency bottlenecks in AI agent and voice-agent codebases. No API key, no backend.

AmanMCP is a local-first RAG MCP server for developers - providing hybrid search (BM25 + semantic) over codebases for AI assistants like Claude Code and Cursor.

Indexed semantic & BM25 code search for AI agents. Give your AI instant memory of your codebase. Rust | MCP Server.

Your AI agent's codebase map. Local-first, hybrid-search code graph for 51+ languages & formats. MCP server. 100% private.

Go MCP server for codebase analysis using tree-sitter, with AST inspection, symbol extraction, and structural search.

🧠 MCP server that gives AI agents symbolic, GraphRAG-style reasoning over a Magento, Adobe Commerce, MageOS and PHP codebase, plus semantic search over its admin configuration.

A code context MCP server backed by Oracle AI Database 26ai: indexes codebases, hybrid search, call graph, module wiki and agent memory for AI coding tools.

Local-first hybrid semantic code search tool. Indexes codebases into PostgreSQL with pgvector embeddings via Ollama, combines vector similarity + keyword search with RRF fusion. Supports 30+ languages. Features CLI, MCP server, WEB dashboard and interactive REPL.

YATS — Yet Another Token Saver. One-command MCP server that indexes your codebase into a knowledge graph so AI agents (Claude, Cursor, Copilot) can search and navigate it without burning tokens.

A local-first code retrieval MCP server for AI coding agents. Hybrid keyword + vector search over Graphify-indexed codebases, with domain-aware ranking profiles.

OpenGrok MCP Server is a native Model Context Protocol server that bridges your organization's OpenGrok search engine with AI assistants — enabling instant, natural language search and deep repository context across massive codebases.

MCP server giving coding agents semantic + structural search over your codebase, so they reuse proven patterns instead of guessing. Finalist - Cursor × Superteam Georgia Hackathon 2026.

Knowledge graph for token-efficient code reviews -- semantic search and call-graph resolution across your codebase.

MCP server for AI assistants to navigate, search, and edit large codebases, logs, and data files with semantic code analysis

Structural code intelligence for AI agents — semantic search, knowledge graphs, and a built-in MCP server in one Rust binary. Give Claude, Cursor, and any MCP client a deep understanding of your codebase.

Local-first MCP server that indexes a codebase into SQLite and exposes token-efficient search/read/navigation/impact tools.

A Python AST Model Context Protocol (MCP) server for codebase architecture inspection, symbol search, import dependency mapping, and docstring coverage auditing.