Turnono Datacommons
Discover statistical indicators and topics in Data Commons. Retrieve observations for specific var…
What is Turnono Datacommons?
Turnono Datacommons is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to discover statistical indicators and topics in data commons. retrieve observations for specific var…
Discover statistical indicators and topics in Data Commons. Retrieve observations for specific var…
This server falls under the Search & Data Extraction category on MCPgee, the world's largest MCP server directory with 33,000+ servers.
Features
- Discover statistical indicators and topics in Data Commons.
Use Cases
Maintainer
Works with
Installation
NPM
npx -y @toolsdk-remote/ai-smithery-turnono-datacommons-mcp-serverManual Installation
npx -y @toolsdk-remote/ai-smithery-turnono-datacommons-mcp-serverConfiguration
Configuration Details
claude_desktop_config.json
Performance
Response Metrics
Resource Usage
Frequently Asked Questions about Turnono Datacommons
What is Turnono Datacommons?
Turnono Datacommons is a Model Context Protocol (MCP) server that discover statistical indicators and topics in data commons. retrieve observations for specific var… It connects AI assistants to external tools and data sources through a standardized interface.
How do I install Turnono Datacommons?
Install via npm with the command: npx -y @toolsdk-remote/ai-smithery-turnono-datacommons-mcp-server. 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 Turnono Datacommons?
Turnono Datacommons works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.
Is Turnono Datacommons free to use?
Yes, Turnono 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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Browse More Search & Data Extraction MCP Servers
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Set Up Turnono 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
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