io.github.bitMacrocode/charm
OEM automotive repair data - part numbers, torque specs, procedures for 1982-2013 vehicles.
Install
Add this to your client's MCP configuration (Claude Desktop: claude_desktop_config.json; Cursor: .cursor/mcp.json; VS Code and others use the same "mcpServers" shape).
claude mcp add --transport http charm 'https://mcp.chatwithcharm.com/mcp'
{
"mcpServers": {
"charm": {
"type": "http",
"url": "https://mcp.chatwithcharm.com/mcp"
}
}
}
Documentation
From the project's README on GitHub, refreshed weekly. Links open on GitHub.
Contents
CHARM — OEM Automotive Data for AI Agents (MCP)
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.
Connect (hosted — no install)
Remote MCP endpoint (Streamable HTTP):
https://mcp.chatwithcharm.com/mcp
Claude Code
claude mcp add --transport http charm https://mcp.chatwithcharm.com/mcp
Claude Desktop — Settings → Connectors → Add custom connector → paste the URL above.
Config-file clients (Cursor, etc.)
{
"mcpServers": {
"charm": { "type": "http", "url": "https://mcp.chatwithcharm.com/mcp" }
}
}
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?
Tools
| 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. |
Coverage
- Model years 1982–2013 — the DIY-repair sweet spot (out-of-warranty, owner-serviced vehicles).
- 80+ makes.
- Data sourced directly from OEM factory service manuals — authoritative, not generated.
Self-hosting (optional)
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:
pip install mcp httpx
export CHARM_MCP_API_KEY="your_key_here"
python3 charm_mcp_http.py # Streamable HTTP (remote)
# or
python3 charm_mcp_server.py # stdio (local, e.g. Claude Desktop)
License
MIT © Bitmacro
Frequently asked questions
What is io.github.bitMacrocode/charm?
OEM automotive repair data - part numbers, torque specs, procedures for 1982-2013 vehicles.
How do I install io.github.bitMacrocode/charm?
It runs as a remote server. In Claude Code: claude mcp add --transport http charm 'https://mcp.chatwithcharm.com/mcp'. For other clients, paste the JSON configuration from this page into their MCP settings.
Does io.github.bitMacrocode/charm need an API key?
Its registry entry lists no required key or secret. Some features may still need an account with the service it connects to.
Is io.github.bitMacrocode/charm open source?
Yes. Its code is on GitHub under the MIT license.
Who maintains io.github.bitMacrocode/charm?
It is published by bitMacrocode. AI.tn lists it but does not maintain or endorse it.
From the official MCP Registry. Listing is not an endorsement: review a server's code and permissions before giving it access to your data.