Rundida Running
π βοΈ - 86 running calculators, 29 marathon events, pace/time/distance calculations, race ti
What is Rundida Running?
Rundida Running is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to π βοΈ - 86 running calculators, 29 marathon events, pace/time/distance calculations, race ti
π βοΈ - 86 running calculators, 29 marathon events, pace/time/distance calculations, race ti
This server falls under the Analytics category on MCPgee, the world's largest MCP server directory with 33,000+ servers.
Features
- MCP protocol support
Use Cases
Maintainer
Works with
Installation
NPM
npx -y @rundida/mcp-serverManual Installation
npx -y @rundida/mcp-serverConfiguration
Configuration Details
claude_desktop_config.json
Performance
Response Metrics
Resource Usage
Frequently Asked Questions about Rundida Running
What is Rundida Running?
Rundida Running is a Model Context Protocol (MCP) server that π βοΈ - 86 running calculators, 29 marathon events, pace/time/distance calculations, race ti It connects AI assistants to external tools and data sources through a standardized interface.
How do I install Rundida Running?
Install via npm with the command: npx -y @rundida/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 Rundida Running?
Rundida Running works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.
Is Rundida Running free to use?
Yes, Rundida Running is open source and available under the MIT License license. You can use it freely in both personal and commercial projects.
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Browse More Analytics MCP Servers
Explore all analytics servers available in the MCPgee directory. Each server includes setup guides for Claude, Cursor, and VS Code.
Set Up Rundida Running 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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