広告掲載
MCP.so
ログイン

Patent MCP Server

@deeparchi-ai

リポジトリ

基本情報

カテゴリ

その他

ライセンス

MIT

トランスポート

stdio

作者

deeparchi-ai

投稿者

Mi Kuang

Patent MCP Server について

MCP Server for global patent data retrieval and analysis, powered by Google Patents Public Datasets on BigQuery. MIT.

Patent MCP Server の設定

標準の設定はありません

このサーバーの README には解析可能な MCP 設定ブロックが含まれていません。インストール手順はリポジトリをご確認ください。

リポジトリ

Patent MCP Server のツール

ツール一覧はまだありません

この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。

ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。

概要

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").

よくある質問

1

What does it do?

It gives AI agents the ability to read patent details, claims, and search over 1.4 billion patents using public data, with special handling for CN patents.

2

Do I need an API key or subscription?

No. For 80% of use cases (getting patent details and claims) no API key is needed. BigQuery search is optional and free within the 1 TB/month free tier.

3

How does CN patent search work?

It uses a three-layer approach: BigQuery for primary search, Firecrawl as a web fallback when BigQuery cost-rejects a query, and Google Patents for detail enrichment — all transparent to the user.

4

What are the runtime requirements?

Python 3.10+, no external server, no credentials to share. The server runs locally and only makes the same HTTP requests a browser would make.

5

Can multiple users share one instance?

Yes. Start the server with HTTP/SSE by editing `run-http.sh.example` and setting a port. Team members connect via the SSE URL.

コメント

「その他」の他のコンテンツ

Reactive Resume

amruthpillai

A one-of-a-kind resume builder that keeps your privacy in mind. Completely secure, customizable, portable, open-source and free forever. Try it out today!

39.5K

Yuppsy

Yuppsy MCP: build and publish real estate websites from your AI assistant. Yuppsy lets your AI assistant create live websites for real estate agents and individual property listings. You don't need a designer or any code

P

PickFu MCP

PickFu MCP is a Model Context Protocol (MCP) server that connects AI assistants, developers, marketers, product managers, and AI agents to PickFu's consumer research platform. It enables users to create surveys, conduct

Activepieces

activepieces

AI Agents & MCPs & AI Workflow Automation • (~400 MCP servers for AI agents) • AI Automation / AI Agent with MCPs • AI Workflows & AI Agents • MCPs for AI Agents

23.2K

Volley.sh

Volley

A good sequence diagram can solve almost any communication problem in engineering. Volley lets your agent write them as plain text, with the real request and response payloads on every arrow. It checks its own syntax wi

広告掲載