patent-literature-search-mcp

by patsnap

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GitHub Website

About

A professional tool for searching Patsnap’s global patent and literature databases using natural language, semantic, or keyword queries. It supports precise filtering and retrieves bibliographic data in Markdown format.

Details

Author
patsnap
GitHub stars
1
Downloads
3,962
Categories
Search

- PatSnap
- PatSnap Open Platform
- Patent & Literature Search MCP
- Find recent patents and academic papers about solid-state battery electrolytes
- Search for patents by an assignee within a jurisdiction, IPC classification, and publication date range

Setting up with Highlight

This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:

  1. Download and install Highlight from highlightai.com/download
  2. Navigate to the plugins tab and select "Add Custom Plugin"
  3. Configure the plugin with the settings below
    Plugin Name patent-literature-search-mcp
    Command (node, npx, python, etc.)

    Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.

  4. Enable "Start Automatically" if you want the plugin to start when Highlight launches

From the repository

Follow the repository README to install the server and add its MCP configuration to your client.

Claude Desktop / Cursor

Paste into your MCP client config file to install this server.

{
    "mcpServers": {
        "patent-literature-search-mcp": {
            "patsnap_patent_literature_search": {
                "url": "https://connect.patsnap.com/2b0355/logic-mcp?apikey=YOUR_API_KEY",
                "type": "streamableHttp"
            }
        }
    }
}

McpServers

{
    "patsnap_patent_literature_search": {
        "url": "https://connect.patsnap.com/2b0355/logic-mcp?apikey=YOUR_API_KEY",
        "type": "streamableHttp"
    }
}

A professional tool for searching Patsnap’s global patent and literature databases using natural language, semantic, or keyword queries. It supports precise filtering and retrieves bibliographic data in Markdown format.

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