OpenMetadata empowers master data governance with robust data cataloging, governance tools, and a comprehensive data gov
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
Time estimate: 15-60 minutes depending on server complexity
Prerequisites
XcodeBuild
XcodeBuild streamlines iOS app development for Apple developers with tools for building, debugging, and deploying iOS an
Pipedream
Pipedream — Access hosted MCP servers or deploy your own for 2,500+ APIs (Slack, GitHub, Notion, Google Drive) with buil
MCP Use
The fullstack MCP framework for developing MCP apps for ChatGPT, Claude, and building MCP servers for AI agents. Connect
Arize Phoenix
Arize Phoenix — unified interface for managing prompts, exploring datasets, and running LLM experiments across providers
Google Tag Manager
Integrate with Google Tag Manager to automate GTM container management, tag setup, and publishing using secure OAuth aut
We wired OpenMetadata into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
OpenMetadata is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.
OpenMetadata reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
OpenMetadata is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
Strong directory entry: OpenMetadata surfaces stars and publisher context so we could sanity-check maintenance before adopting.
Useful MCP listing: OpenMetadata is the kind of server we cite when onboarding engineers to host + tool permissions.
We evaluated OpenMetadata against two servers with overlapping tools; this profile had the clearer scope statement.
OpenMetadata has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
I recommend OpenMetadata for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
OpenMetadata is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.
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Claude Desktop configuration
{
"mcpServers": {
"mcp-server-openmetadata": {
"command": "uvx",
"args": [
"mcp-server-openmetadata"
],
"env": {
"OPENMETADATA_HOST": "https://your-openmetadata-host",
"OPENMETADATA_JWT_TOKEN": "your-jwt-token"
}
}
}
}Connects to OpenMetadata to query and manage data catalog metadata including databases, tables, and schemas. Provides standardized access to OpenMetadata's REST API through the Model Context Protocol.
OpenMetadata is a community-built MCP server published by yangkyeongmo that provides AI assistants with tools and capabilities via the Model Context Protocol. OpenMetadata empowers master data governance with robust data cataloging, governance tools, and a comprehensive data gov It is categorized under developer tools, analytics data.
You can install OpenMetadata 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 runs locally on your machine via the stdio transport.
OpenMetadata empowers master data governance with robust data cataloging, governance tools, and a comprehensive data gov
TL;DR: Connects to OpenMetadata to query and manage data catalog metadata including databases, tables, and schemas. Provides standardized access to OpenMetadata's REST API through the Model Context Protocol.
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.