by ground
Ground — Reference data API for classification systems, real-time world data, and unit conversions.
★ —
GitHub stars
Provides access to standardized reference data including classification systems, real-time world information, and unit conversions through a structured API.
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.
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.
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.
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.
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
Share your MCP server with the developer community
Ground has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
We wired Ground into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
We evaluated Ground against two servers with overlapping tools; this profile had the clearer scope statement.
We evaluated Ground against two servers with overlapping tools; this profile had the clearer scope statement.
Ground is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.
According to our notes, Ground benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
We wired Ground into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
Ground has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
Strong directory entry: Ground surfaces stars and publisher context so we could sanity-check maintenance before adopting.
Useful MCP listing: Ground is the kind of server we cite when onboarding engineers to host + tool permissions.
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Prerequisites
Time Estimate
15-60 minutes depending on server complexity
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.
