Access patent trends and innovation research with PatSnap (Patent Analytics) API for technology scouting and competitive
Add new capabilities to Claude beyond text generation
Example: Access external data sources, execute code, interact with tools and services
Transform Claude from chatbot to action-taking agent
Provide Claude with access to relevant context and data
Example: Load project documentation, access knowledge bases, query databases
Get more accurate, context-aware responses
Automate multi-step workflows combining AI and external tools
Example: Research → Summarize → Create document → Send notification
Complete complex tasks end-to-end without manual steps
Time estimate: 15-60 minutes depending on server complexity
Prerequisites
Chinese Trends Hub
Chinese Trends Hub gives you real-time trending topics from major Chinese platforms like Weibo, Zhihu, Douyin, and more,
Coincap
Access crypto coin price live and cryptocurrency price data without authentication. Get the latest crypto currency live
AKShare Chinese Stock Market
Access real-time and historical Chinese stock data including baba stock china and nio stock china, plus news and financi
MCP Server Chart
Effortlessly create 25+ chart types with MCP Server Chart. Visualize complex datasets using TypeScript and AntV for powe
Financial Datasets
Access stock price for NVDA, income statements, balance sheets, and market news via the Financial Datasets server and AP
I recommend PatSnap (Patent Analytics) for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
According to our notes, PatSnap (Patent Analytics) benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
We evaluated PatSnap (Patent Analytics) against two servers with overlapping tools; this profile had the clearer scope statement.
Useful MCP listing: PatSnap (Patent Analytics) is the kind of server we cite when onboarding engineers to host + tool permissions.
PatSnap (Patent Analytics) reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
I recommend PatSnap (Patent Analytics) for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
PatSnap (Patent Analytics) reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
We wired PatSnap (Patent Analytics) into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
Strong directory entry: PatSnap (Patent Analytics) surfaces stars and publisher context so we could sanity-check maintenance before adopting.
I recommend PatSnap (Patent Analytics) for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
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Claude Desktop configuration
{
"mcpServers": {
"@kunihiros/patsnap-mcp": {
"command": "npx",
"args": [
"@kunihiros/patsnap-mcp"
],
"env": {
"PATSNAP_CLIENT_ID": "your_patsnap_client_id_here",
"PATSNAP_CLIENT_SECRET": "your_patsnap_client_secret_here"
}
}
}
}Connects to PatSnap's patent database to analyze patent trends, competitive intelligence, and innovation landscapes. Designed for high-level patent analytics and technology research, not individual patent lookups.
PatSnap (Patent Analytics) is a community-built MCP server published by kunihiros that provides AI assistants with tools and capabilities via the Model Context Protocol. Access patent trends and innovation research with PatSnap (Patent Analytics) API for technology scouting and competitive It is categorized under analytics data.
You can install PatSnap (Patent Analytics) in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport.
This MCP server is designed to collect patent-related information from PatSnap's API for trend analysis and reporting. It is not intended for individual patent investigations.
<a href="https://glama.ai/mcp/servers/@KunihiroS/patsnap-mcp"> <img width="380" height="200" src="https://glama.ai/mcp/servers/@KunihiroS/patsnap-mcp/badge" alt="PatSnap Server MCP server" /> </a>This server provides the following tools for interacting with the PatSnap Insights API:
npm install.npm run build.npm start.PATSNAP_CLIENT_ID, PATSNAP_CLIENT_SECRET).To integrate this MCP server with your MCP Host, add the following configuration to your cline_mcp_settings.json file (path may vary based on your host setup):
{
"mcpServers": {
"@kunihiros/patsnap-mcp": {
"command": "npx",
"args": ["@kunihiros/patsnap-mcp"],
"env": {
"PATSNAP_CLIENT_ID": "your_patsnap_client_id_here",
"PATSNAP_CLIENT_SECRET": "your_patsnap_client_secret_here"
},
"disabled": false,
"autoApprove": []
}
}
}
Ensure you replace your_patsnap_client_id_here and your_patsnap_client_secret_here with your actual PatSnap API credentials. This configuration allows the MCP Host to invoke the server using npx @kunihiros/patsnap-mcp.
For more information and get required tokens for the PatSnap service, please visit: https://open.patsnap.com/home
This project is licensed under the MIT License.
Steps
Troubleshooting
✓ Do
✗ Don't
💡 Pro Tips
Architecture
Model Context Protocol standardizes how AI hosts (Claude, Cursor) communicate with external tools and data sources through server implementations.
Protocols
Compatibility
✓ Use when
Use when you need Claude to access external data, execute actions, or integrate with tools. Best for extending AI capabilities beyond conversation.
✗ Avoid when
Avoid when native integrations exist (use official APIs directly), for real-time critical systems, or when security/compliance requires zero external dependencies.