Tentra Mcp

tentra-mcp

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Memory for AI coding agents. Persistent code graph + AI-generated architecture diagrams — MCP-native. Works in Cursor, Claude Code, Codex, and Windsurf.

Dogfood benchmark on our own monorepo: **99.4% token reduction** (156.8× ratio) across 8 "where is X implemented?" queries — 114,644 tokens via file re-read vs 731 tokens via `query_symbols`. [Full write-up →](https://trytentra.com/blog/we-measured-99-percent-token-savings-with-a-code-graph)

Quick Start (60 seconds)

cd your-repo
npx tentra-mcp init --hook

One command:

1. Writes MCP config for Cursor / Claude Code / Codex / Windsurf (whichever are installed)
2. Installs a git post-commit hook so the code graph auto-refreshes after every commit — no manual re-indexing
3. Auto-derives your repo_id from the git remote and saves it to .tentra/metadata.json

Then grab your API key at [trytentra.com/settings](https://trytentra.com/settings), replace `YOUR_TENTRA_API_KEY` in the generated config, reload your IDE, and ask your agent:

Index this codebase with Tentra and list the god-nodes

From here on, every `git commit` fires a background re-index. Your agents stay caught up automatically.

**Skip the hook:** drop `--hook` — just writes IDE configs. **Manual stdio install:** `npx tentra-mcp` (opens browser for GitHub device-flow auth on first tool call). **API key instead:** `npx tentra-mcp --key YOUR_API_KEY`.

What is Tentra?

Tentra is an AI-native architecture platform for engineering teams. Describe a system — get a diagram and