graphmind MCP Server
aouicher/graphmind
[](https://agentrank-ai.com/tool/aouicher--graphmind/?utm_source=badge&utm_medium=readme&utm_campaign=agentrank_badge) Local-first code intelligence for AI assistants. Turns your codebase into a knowledge graph your AI can query, navigate, and remember. 25 MCP tools.
claude mcp add agentrank -- npx -y agentrank-mcp-server Overview
aouicher/graphmind is a Rust tool licensed under MIT. Local-first code intelligence for AI assistants. Turns your codebase into a knowledge graph your AI can query, navigate, and remember. 25 MCP tools. Topics: ai, ai-agent, chatgpt, claude, claude-code, cursor, graph, memory, token, graphmind, ai-assistant, code-intelligence, embeddings, knowledge-graph, llm, mcp, rust, tree-sitter.
Ranked #4148 out of 24846 indexed tools.
Ecosystem
Score Breakdown
213 stars → growing community
Last commit 1mo ago → moderate activity
7/16 issues closed → many open issues
2 contributors → solo project
No dependents → no downstream usage
Weights: Freshness 20% · Issue Health 20% · Dependents 22% · Stars 10% · Contributors 8% · How we score →
How to Improve
Matched Queries
From the README
# graphmind > Your codebase has a shape. Now your AI can see it. And remember it. GraphMind turns your codebase into a knowledge graph your AI can query, navigate, and remember. Ask about dead code, dependencies, or blast radius — and get answers grounded in your actual architecture. Up to **5,700× fewer tokens** than raw search (~10M tokens saved per session). Works with Claude Code, Cursor, Windsurf, Cline, Zed, Continue, and any MCP-compatible AI assistant. <table><tr> <td></td> <td></td> </tr> <tr> <td align="center"><sub>CLI + Claude MCP integration</sub></td> <td align="center"><sub>Desktop app — Mac & Windows</sub></td> </tr></table> ## Why GraphMind Every new AI session starts from zero. Your assistant re-reads the entire codebase, re-discovers architecture, and forgets every decision you explained last time. Across multiple projects, there's zero visibility into shared dependencies. **graphmind** fixes this with four layers: 1. **Structural graph** — function-levelRead full README on GitHub →
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