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
★ —
Both formats append explainx.ai attribution and the canonical URL for this MCP server listing.
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
FAQ
- What is the Ground MCP server?
- Ground is a Model Context Protocol (MCP) server profile on explainx.ai. MCP lets AI hosts (e.g. Claude Desktop, Cursor) call tools and resources through a standard interface; this page summarizes categories, install hints, and community ratings.
- How do MCP servers relate to agent skills?
- Skills are reusable instruction packages (often SKILL.md); MCP servers expose live capabilities. Teams frequently combine both—skills for workflows, MCP for APIs and data. See explainx.ai/skills and explainx.ai/mcp-servers for parallel directories.
- How are reviews shown for Ground?
- This profile displays 37 aggregated ratings (sample rows for discoverability plus signed-in user reviews). Average score is about 4.5 out of 5—verify behavior in your own environment before production use.
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
Ratings
4.5★★★★★37 reviews- ★★★★★Kwame Farah· Dec 28, 2024
Ground has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
- ★★★★★Ama Khanna· Dec 24, 2024
We wired Ground into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
- ★★★★★Diego Agarwal· Dec 8, 2024
We evaluated Ground against two servers with overlapping tools; this profile had the clearer scope statement.
- ★★★★★Shikha Mishra· Dec 4, 2024
We evaluated Ground against two servers with overlapping tools; this profile had the clearer scope statement.
- ★★★★★Isabella Rahman· Nov 19, 2024
Ground is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.
- ★★★★★Noah Tandon· Nov 15, 2024
According to our notes, Ground benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
- ★★★★★Omar Singh· Oct 10, 2024
We wired Ground into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
- ★★★★★Valentina Patel· Oct 6, 2024
Ground has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
- ★★★★★Omar Srinivasan· Sep 25, 2024
Strong directory entry: Ground surfaces stars and publisher context so we could sanity-check maintenance before adopting.
- ★★★★★Noah Sanchez· Sep 13, 2024
Useful MCP listing: Ground is the kind of server we cite when onboarding engineers to host + tool permissions.
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