Code intelligence MCP servers

Multi-repo semantic code search MCP server in Rust — hybrid vector + BM25 retrieval, tree-sitter AST chunking, fully offline. For OpenCode, Claude Code, Cursor, and any MCP client.

Code graph for AI agents: impact analysis and call tracing over MCP (Python, TypeScript). Local, deterministic, SQLite.

Understand, analyze, and govern software systems across repositories, languages, and technologies.

Understand, analyze, and govern software systems across repositories, languages, and technologies.

Understand, analyze, and govern software systems across repositories, languages, and technologies.

🐞 MCP Node.js debugger

🐞 MCP Node.js debugger

Code search MCP for Claude Code. Make entire codebase the context for any coding agent.

By transforming source code into a queryable Semantic Graph and a structured AST, this tool bridges the gap between "reading text" and "understanding structure." For an AI assistant, it provides the "spatial" awareness needed to navigate deep dependencies without getting lost in large files.

Local-only Go static analysis engine with a built-in MCP server. Gives AI coding agents deterministic structural awareness: call graphs, impact analysis, symbol search, and more.

MCP server that orchestrates language servers into agent-native workflows. 65 tools, 30 CI-verified languages.

aptu-coder: MCP server for AST analysis, call graphs, and code structure (tree-sitter)

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.

MCP server exposing WinDbg/DbgEng (live user-mode, kernel, crash dumps, Time Travel Debugging) to AI agents over stdio or over HTTP with --listen

Deterministic code map for AI coding agents: a tree-sitter symbol and call graph served over MCP and a CLI, with no embeddings, network or telemetry.

An extensible Model Context Protocol (MCP-Local-MRL-RAG-AST) server that provides intelligent semantic code search for AI assistants. Built with local AI models, inspired by Cursor's semantic search.

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

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

17 MCP query tools for codebase navigation — functions, classes, imports, dependency graphs, change impact. Zero dependencies. 87% token reduction.

Stop your coding agent reading the wrong files. Compiler-grade TS/JS repo map — 100% precision on blast radius vs grep's 60%, measured on public repos. CLI + MCP server, fully local, no vector DB.

Model Context Protocol (MCP) server that interacts with a Debugger

ZAP is a terminal-first, local AI coding agent built in Rust. It uses AST-powered codebase indexing and lazy-loaded skills to completely eliminate prompt bloat and minimize context token costs.

Whole-codebase knowledge for AI coding agents. A field-aware code graph (functions, classes, methods, fields, references) plus persistent memory. Rust, Postgres + pgvector, MCP.

Local MCP server that gives AI coding agents persistent, searchable memory of your codebase