Best Code Graph AI Skills & MCP Servers

Your AI agent has read your codebase but still can't safely change it. unerr is a local guardrail that hands the agent the call graph and your rules at the moment it edits.

MCP server that builds code graphs to provide rich context to LLMs

A code indexing system accessible via MCP (Model Context Protocol)

OpenCodeHub — stdio MCP server exposing code-graph + group tools

Model-agnostic code memory MCP server. Budget-aware graph retrieval for AI agents — sub-millisecond queries, token budgeting, no embeddings, no API keys. Built on CodeGraphContext for 155-language tree-sitter indexing.

RCA infrastructure for AI-built code. Code knowledge graph + opinionated RCA engine, exposed via MCP (Cursor / Claude Code / Cody / Cline / Continue / Windsurf / Zed) plus CLI and library. RCA is the wedge; the same engine covers code review, refactor bla

Code intelligence MCP server. Indexes your repository into a queryable call graph for AI coding agents.

Live, queryable knowledge graph for your codebase. Indexes JS/TS into an embedded graph DB with embeddings and exposes an MCP server Claude Code and Cursor can call.

Code Graph MCP Server

CodeGraph MCP server — cross-language code intelligence with 42 tools, 38 languages

neatcode MCP server