Patent intelligence for AI agents — patent search, USPTO data, patent landscape, technology trends, and semantic prior-art search (pgvector) over USPTO PatentsView data.
Part of the FoundryNet Data Network. Every result carries verifiable provenance so you can confirm it was produced by this server, unaltered. See also: gov-contracts-mcp, brand-intel-mcp.
- MCP endpoint (Streamable HTTP):
https://patent-intel-mcp-production.up.railway.app/mcp - MCP registry:
io.github.FoundryNet/patent-intel-mcp - Agent card:
https://patent-intel-mcp-production.up.railway.app/.well-known/agent-card.json
claude mcp add --transport http patent-intel https://patent-intel-mcp-production.up.railway.app/mcp{ "mcpServers": { "patent-intel": { "url": "https://patent-intel-mcp-production.up.railway.app/mcp" } } }| Tool | Price | What it does |
|---|---|---|
search_patents |
$0.01 | Search by keyword, assignee, CPC, date, type |
patent_detail |
free | Full record: claims, citations, inventors |
company_patents |
$0.01 | Portfolio: count, filing velocity, tech areas, recent filings |
trending_technology |
$0.01 | CPC classes ranked by filing volume, with top assignees |
prior_art_search |
$0.05 | Semantic similarity over abstracts (pgvector) — premium |
daily_digest |
$0.05 | Structured daily patent-filing digest |
brief_summary |
$0.50 | Sample slice of the curated daily patent-intel brief |
daily_brief |
$10 | Full curated daily patent-intel brief — premium |
mint_info |
free | FoundryNet Data Network details |
Free tier: 25 paid-tool queries/day per agent (plus free patent_detail +
mint_info). Pass agent_id to scope your allowance. After that, the tool
returns an HTTP-402 with a payment challenge — settle it, then re-call with the
same args plus payment_tx=<reference>. An Authorization: Bearer fnet_… key
bypasses the paywall.
A daily task (~5am PT) ingests patents granted in the last day from the USPTO
PatentsView Search API, maps them to a normalized schema, embeds abstracts with
fastembed (BAAI/bge-small-en-v1.5, local, no API key), and stores them in a
standalone Supabase project. prior_art_search embeds your query and ranks by
pgvector cosine similarity. A rolling patent_assignees summary powers
company_patents.
Honesty note: claims_count isn't exposed by the PatentsView patent endpoint,
so it's left null (a future enrichment hook); citation_count and the rest come
straight from PatentsView.
Smithery: io.github.FoundryNet/patent-intel-mcp
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