UN DataCommons
MCP server to query Data Commons indicators and observations (base or custom).
What is UN DataCommons?
UN DataCommons is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to mcp server to query data commons indicators and observations (base or custom).
MCP server to query Data Commons indicators and observations (base or custom).
This server falls under the Data Science & ML category on MCPgee, the world's largest MCP server directory with 33,000+ servers.
Features
- MCP server to query Data Commons indicators and observations
Use Cases
Maintainer
Works with
Installation
NPM
npx -y un-datacommons-mcpPIP
pip install un-datacommons-mcpManual Installation
npx -y un-datacommons-mcpConfiguration
Configuration Details
claude_desktop_config.json
Performance
Response Metrics
Resource Usage
Frequently Asked Questions about UN DataCommons
What is UN DataCommons?
UN DataCommons is a Model Context Protocol (MCP) server that mcp server to query data commons indicators and observations (base or custom). It connects AI assistants to external tools and data sources through a standardized interface.
How do I install UN DataCommons?
Install via npm with the command: npx -y un-datacommons-mcp. Then add the server configuration to your AI client's JSON config file (e.g., claude_desktop_config.json or .cursor/mcp.json).
Which AI clients work with UN DataCommons?
UN DataCommons works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.
Is UN DataCommons free to use?
Yes, UN DataCommons is open source and available under the MIT license. You can use it freely in both personal and commercial projects.
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Set Up UN DataCommons in Your Editor
Choose your AI client for step-by-step setup instructions.
Quick Config Preview
Add this to your claude_desktop_config.json or .cursor/mcp.json
Ready to use UN DataCommons?
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