The full upstream README, mirrored here for reference. Install config, tool schemas, adoption signals, and an original overview live on the Charm listing page.
CHARM is an MCP server that gives AI agents authoritative OEM automotive repair data — factory service-manual part numbers, torque specs, fluid capacities, and procedures for vehicles 1982–2013, across 80+ makes.
Answers come straight from OEM factory service manuals, not a model's memory — so they're verifiable and source-attributed, not hallucinated. When a part number is identified, CHARM also returns links to purchase that exact part.
Built to be called by AI agents — Claude, ChatGPT, Gemini, and beyond.
Remote MCP endpoint (Streamable HTTP):
Claude Code
Claude Desktop — Settings → Connectors → Add custom connector → paste the URL above.
Config-file clients (Cursor, etc.)
Then just ask naturally:
What's the front brake caliper part number for a 2009 Ford Taurus X, and where can I buy it?
What's the spark plug gap for a 2001 Toyota Camry?
| Tool | Description |
|---|---|
charm_lookup(query, year?, make?, model?, system?) | Verified OEM part numbers, torque specs, fluid capacities, and service procedures. Pass year+make+model for a precise, isolated answer. |
charm_list_makes() | List all covered manufacturers. |
You don't need to self-host to use CHARM — the hosted endpoint above is the easy path.
To run your own instance against the CHARM API, grab a free key at
https://chatwithcharm.com/api/v1/docs, then:
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