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Ground▌

by ground

Ground — Reference data API for classification systems, real-time world data, and unit conversions.

Reference data API for classification systems, real-time world data, and unit conversions.

github stars

★ —

Website
Streamable HTTP transportStandardized reference data

best for

  • / Applications requiring standardized data classifications
  • / Systems needing accurate unit conversions
  • / Projects working with international standards and codes

capabilities

  • / Query classification systems and taxonomies
  • / Access real-time world data
  • / Convert between different units of measurement
  • / Retrieve standardized reference datasets
  • / Look up codes and identifiers from various systems

what it does

Provides access to standardized reference data including classification systems, real-time world information, and unit conversions through a structured API.

about

Ground is an official MCP server published by ground that provides AI assistants with tools and capabilities via the Model Context Protocol. Ground — Reference data API for classification systems, real-time world data, and unit conversions.

how to install

You can install Ground 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 supports remote connections over HTTP, so no local installation is required.

license

MIT

Ground is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.

readme

Reference data API for classification systems, real-time world data, and unit conversions.

TL;DR: Provides access to standardized reference data including classification systems, real-time world information, and unit conversions through a structured API.

What it does

  • Query classification systems and taxonomies
  • Access real-time world data
  • Convert between different units of measurement
  • Retrieve standardized reference datasets
  • Look up codes and identifiers from various systems

Best for

  • Applications requiring standardized data classifications
  • Systems needing accurate unit conversions
  • Projects working with international standards and codes

Highlights

  • Streamable HTTP transport
  • Standardized reference data