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patsnap/patent-literature-search-mcp

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Search global patents across WIPO, EPO, USPTO, CNIPA, JPO, KIPO and other authorities, together with scientific literature from PubMed, arXiv, Nature, Science and other major sourc

MCP

patsnap/patent-literature-search-mcp

Added 3 Sept 2026

#academic-search #ai-agents #bm25 #innovation-intelligence #literature-search #mcp-server #model-context-protocol #patent-intelligence

Overview

A Model Context Protocol server for searching global patents and scientific literature. It covers patent authorities including WIPO, EPO, USPTO, CNIPA, JPO, KIPO, and literature from PubMed, arXiv, Nature, Science, and other sources. Supports natural-language, semantic, keyword, and structured search.

Best for

Best for
Developers building AI tools that need unified patent and literature search.

Use cases

  • Conduct prior art searches with natural language
  • Cross-reference patents with scientific literature
  • Integrate patent and literature search into AI assistants

How to use

Tools exposed

  • patsnap_search
  • patsnap_fetch
  • semantic_query
  • search_strategy
  • include_images

Tested with

Claude Code, Cursor, Windsurf

Notes

A Model Context Protocol server for searching global patents and scientific literature. It covers patent authorities including WIPO, EPO, USPTO, CNIPA, JPO, KIPO, and literature from PubMed, arXiv, Nature, Science, and other sources. Supports natural-language, semantic, keyword, and structured search.

78 stars on GitHub. Last updated 2026-08-06. Licensed Apache-2.0.

Use cases

  • Conduct prior art searches with natural language
  • Cross-reference patents with scientific literature
  • Integrate patent and literature search into AI assistants

Pros

  • Covers multiple major patent offices and literature databases
  • Supports multiple search types including semantic and keyword
  • Exposes search via MCP for easy integration

Cons

  • Small community with 78 stars
  • Limited to JavaScript implementation
  • No information on authentication or rate limits

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.

Pros

  • Covers multiple major patent offices and literature databases
  • Supports multiple search types including semantic and keyword
  • Exposes search via MCP for easy integration

Cons

  • Small community with 78 stars
  • Limited to JavaScript implementation
  • No information on authentication or rate limits

Pairs with

Other entries in the index that connect to this one. Click through to see the chain.

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