pulsemcp scanned Safe content atomic mcp-remote

OpenMetadata

This MCP server implementation provides a bridge to OpenMetadata, enabling AI assistants to interact with metadata management systems. Developed by Gyeongmo Yang, it offers tools for querying and manipulating metadata across various data assets. The server is built using Python and integrates with the Model Context Protocol, leveraging libraries like httpx and starlette for efficient request handling. It focuses on secure API interactions and robust error handling, making it suitable for data governance, cataloging, and lineage tracking use cases. The implementation is designed for easy setup and configuration, supporting both development and production environments with features like Server-Sent Events (SSE) for real-time updates.

Cognium trust score

40%

Tier

Scanned

Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately. Last scanned 2026-09-01.

Scan details: Circle-IR · 2026-09-01 · Appeal

View full trust & usage report →

Metadata

Version: 1.0.0
Skill type: atomic
Execution layer: mcp-remote
Category: api-integration
Source: PulseMCP
Repository: github.com/yangkyeongmo/mcp-server-openmetadata
Author type: human
Last scanned: 2026-09-01
Updated: 2026-09-01

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MCP

Resolve OpenMetadata from your agent

Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.

One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.

claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp

Swap --scope user for --scope project to commit it to .mcp.json.

Your client Same endpoint everywhere; only the config key differs. The full list is in the descriptor.

Claude Desktop · Settings → Connectors → Add custom connector

https://api.skillsregistry.net/mcp

Paste the URL as the connector endpoint. No authentication.

ChatGPT · Settings → Connectors → Create (developer mode) → MCP server URL

https://api.skillsregistry.net/mcp

Authentication: none. Works in chat and deep research — the server exposes the connector search and fetch tools.

Codex CLI · ~/.codex/config.toml

[mcp_servers.skillsregistry]
url = "https://api.skillsregistry.net/mcp"