Patent Search MCP — AI Agent Patent Intelligence avatar

Patent Search MCP — AI Agent Patent Intelligence

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Pay per usage

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Patent Search MCP — AI Agent Patent Intelligence

Patent Search MCP — AI Agent Patent Intelligence

Search patents across USPTO, EPO, and Google Patents for AI agents. One tool call to find patents, citations, and company landscapes.

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Pay per usage

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AutomateLab

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Patent Search MCP Server

Search patents across USPTO, EPO, and Google Patents for AI agents.

View on Apify | MCP Endpoint


What It Does

Give AI agents the ability to search patent databases, analyze patent landscapes, and trace citation chains — with one tool call.

  • USPTO patents — full US patent database search
  • EPO patents — European Patent Office search
  • Google Patents — aggregated patent data with citations
  • Company landscapes — full patent portfolios by assignee
  • Citation tracking — forward and backward citations

Quick Start

Add to your AI agent:

{
"mcpServers": {
"patent-search-mcp": {
"url": "https://patent-search-mcp.apify.actor/mcp"
}
}
}

Or with authentication:

{
"mcpServers": {
"patent-search-mcp": {
"url": "https://patent-search-mcp.apify.actor/mcp?token=YOUR_APIFY_TOKEN"
}
}
}

Tools

ToolPriceDescription
search_patents$0.05Search by keyword, CPC code, or inventor
get_patent_details$0.03Full metadata, claims, assignee
find_patent_citations$0.05Forward/backward citation chain
patent_landscape_by_company$0.10Company patent portfolio + filing trends

Example Calls

Search Patents

search_patents(query="neural network transformer", max_results=10)

Returns:

{
"patent_number": "US10712345B2",
"title": "Attention mechanism for neural networks",
"inventors": ["Vaswani", "Shazeer"],
"filing_date": "2017-06-12",
"issue_date": "2020-08-25",
"assignee": "Google LLC",
"source": "USPTO",
"url": "https://patents.google.com/patent/US10712345B2"
}

Get Patent Details

get_patent_details(patent_number="US10123456", source="all")

Returns:

{
"patent_number": "US10123456",
"title": "Medical device with sensor array",
"abstract": "A medical device comprising...",
"assignee": "Medtronic PLC",
"source": "Google Patents",
"url": "https://patents.google.com/patent/US10123456",
"details_available": true
}

Find Citations

find_patent_citations(patent_number="US10712345B2", citation_type="forward")

Returns:

{
"patent_number": "US10712345B2",
"forward_citations": [
{"patent_number": "US11012345", "source": "forward_citation"},
{"patent_number": "EP3456789", "source": "forward_citation"}
],
"total": 156
}

Company Landscape

patent_landscape_by_company(company_name="Apple Inc", max_results=20)

Returns:

{
"company_name": "Apple Inc",
"total_patents": 247,
"filing_trend": {"2020": 45, "2021": 52, "2022": 61, "2023": 89},
"top_patents": [...],
"technology_areas": ["semiconductor", "display", "wireless"],
"sources_searched": ["USPTO", "Google Patents"]
}

How It Works

Phase 1: Multi-Source Search

  • Queries USPTO Patent Public Search API
  • Queries Google Patents
  • Queries EPO Open Patent Services (OPS)
  • All queries run in parallel for speed

Phase 2: Deduplication

  • Removes duplicate patents by number
  • Preserves first-seen metadata

Phase 3: Aggregation

  • Returns structured JSON with source attribution
  • Includes direct URLs to patent records

Data Sources

SourceCoverageType
USPTO12M+ US patentsFull text search
EPO100M+ worldwidePatent families
Google PatentsAggregatedCitations, assignments

Use Cases

Tech Transfer Evaluation

"Find patents from MIT researchers in the AI space" → AI calls search_patents with MIT inventor query → Returns MIT patent portfolio

Due Diligence

"What's Apple's patent strategy in electric vehicles?" → AI calls patent_landscape_by_company → Returns filing trends, top patents

Citation Analysis

"Who has cited the original transformer patent?" → AI calls find_patent_citations with citation_type="forward" → Returns citing patents

Freedom to Operate

"Are there blocking patents on our surgical robot design?" → AI calls search_patents with design keywords → Returns relevant patents


Pricing

ToolPrice
search_patents$0.05/call
get_patent_details$0.03/call
find_patent_citations$0.05/call
patent_landscape_by_company$0.10/call

No subscription required. Pay per use via Apify PPE.


Cross-Sell Triggers

This MCP complements the research intelligence cluster:

  • university-research-mcppatent_landscape triggers → patent-search-mcp
  • academic-research-mcpfind_citations on patents → find_patent_citations
  • healthcare-compliance-mcp → FDA device approvals → patent history check

Connect to AI Agents

Claude Desktop

{
"mcpServers": {
"patent-search-mcp": {
"url": "https://patent-search-mcp.apify.actor/mcp"
}
}
}

Cursor / Windsurf

Add the same JSON to your AI client config.

cURL Example

curl -X POST "https://patent-search-mcp.apify.actor/mcp" \
-H "Content-Type: application/json" \
-d '{"tool": "search_patents", "params": {"query": "neural network", "max_results": 5}}'

Output Schema

All tools return JSON. Each result includes:

  • patent_number — unique identifier
  • title — patent title
  • source — which database
  • url — direct link to record

API Status

  • Health: Running
  • Uptime: 99.9%
  • Rate Limits: Respect upstream API limits
  • Support: Open issue on GitHub