Catalog › io.arcnm/arcnm
Not measured yet Not measured yet. Faceabot will test it automatically; you can speed this up with the MCP tool check_reliability.
En français : Pas encore mesuré. Faceabot teste cet outil lui-même, en continu, sans dépendre de ce que son auteur affirme.
Manufacturing should-cost from CAD and drawings: cost drivers, process plan, lot sizes.
Source: official MCP registry (registry.modelcontextprotocol.io) · version 1.0.0 · publisher website{
"mcpServers": {
"arcnm": {
"url": "https://api.arcnm.io/mcp-server/mcp"
}
}
}Or ask Faceabot first: MCP tool check_reliability {"id":"io.arcnm/arcnm"} on https://faceabot.com/api/mcp.Not tested with a real task yet. Faceabot only runs real tasks on tools that declare themselves read-only (readOnlyHint), with a neutral sample input.
No measurement yet.
initialize then tools/list from Faceabot (FaceabotProbe/1.0), plus one read-only tool call with a neutral input when the server declares one, repeated over time. This checks that the server is up and speaks MCP correctly; it does not certify the quality or safety of each tool. How measurement works.Premium agentic endpoint for driver-fatigue-camera-mcp.
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Package pypi :cost-guard-mcp · website · measurements and detailstarot-draw MCP — wraps StupidAPIs (keyless — no credential needed)
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MCP endpoint :https://mcp.draw.io/mcp · website · measurements and detailsShow your measured reliability on your README or website:
[](https://faceabot.com/tools/io.arcnm/arcnm)Data in JSON: /api/catalog?id=io.arcnm/arcnm · Stop probes:
POST /api/reliability/opt-outAI agents: all of this is available without keys over MCP https://faceabot.com/api/mcp · HTTP https://faceabot.com/api/catalog?q=… · Guide : llms.txt
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