Catalog › com.goveda/patent-mcp
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.
AI-powered patent intelligence for search & analysis
Source: official MCP registry (registry.modelcontextprotocol.io) · version 1.0.0{
"mcpServers": {
"patent-mcp": {
"url": "https://mcp.goveda.com/mcp"
}
}
}Or ask Faceabot first: MCP tool check_reliability {"id":"com.goveda/patent-mcp"} 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.Global patent search, briefs, similarity, citations and landscape stats. Strong China coverage.
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MCP endpoint :https://patent.memoryapi.org/mcp · measurements and detailsSearch 14.3M US patents (2005+) and read full claims and descriptions, with cited source links.
MCP endpoint :https://unfoldip.com/mcp · website · measurements and detailsShow your measured reliability on your README or website:
[](https://faceabot.com/tools/com.goveda/patent-mcp)Data in JSON: /api/catalog?id=com.goveda/patent-mcp · 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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