Patent Intelligence MCP

Search patents, analyze landscapes, and run prior-art comparisons with USPTO data.

Source

Official Registry

Updated

2026-06-18

// securityCaution

Remote endpoint· patent-intel-mcp-production.up.railway.app
Runs locally
Official / curated
Open source
Community-trusted

Running security audit…

Credentials
Network egress
Code execution
Data access
Supply chain

// install

Copy the install command and let the AI configure it · recommended for beginners

Please install the "Patent Intelligence MCP" MCP server from askskill:
Run: claude mcp add --transport http 'io-github-foundrynet-patent-intel-mcp' 'https://patent-intel-mcp-production.up.railway.app/mcp'

// examples

Search patents in a technical domain

Prompt

Using USPTO data, find U.S. patents from the last five years related to solid-state battery thermal management, and summarize them by assignee, filing date, and core technical approach.

Expected

A structured list of relevant patents summarized by assignee, timeline, and technical approach.

Create a patent landscape analysis

Prompt

Analyze the patent landscape for generative AI code completion, identifying major assignees, popular subdomains, trends over the last three years, and potential whitespace opportunities.

Expected

An overview of the patent landscape with key players, topic clusters, trend insights, and opportunity areas.

Run a prior-art similarity search

Prompt

Here is my invention abstract. Use pgvector similarity search to find the closest prior-art patents and explain the similarities and potential novelty risks: {paste invention abstract}

Expected

A ranked list of the closest patents, similarity explanations, and novelty or patentability risk notes.