Patent MCP Server

What is Patent Mcp Server?

It is an MCP (Model Context Protocol) server that gives AI agents access to patent data — CN patents with CPC-aware correction plus US/WO global coverage. It runs locally on your machine with no external API, no subscription, and is MIT licensed.

How to use Patent Mcp Server?

Install via pip install deeparchi-patent-mcp, then configure the server in your MCP client (e.g., Claude Desktop, Cursor, Windsurf, Cline) with the command python -m src.server. Optionally enable BigQuery search by setting up a GCP project and environment variables.

Key features of Patent Mcp Server

• CN patents with CPC-aware correction, plus US/WO global coverage.
• Three built-in tools: get_patent, get_patent_claims, search_patents.
• get_patent and get_patent_claims require zero setup or cost.
• search_patents uses BigQuery (optional) with Firecrawl fallback for CN.
• Keyword search scans both English and Chinese abstracts.
• Smart fallback: web scraping first, then BigQuery if available.

Use cases of Patent Mcp Server

• An AI agent summarizing patent claims from a publication number.
• Searching patents by CPC classification, assignee, country, or date range.
• Analyzing novelty using citations with X/Y/A/D prior art markers.
• Conducting company or city-level patent landscape analysis (e.g., assignee="BOE").