pulsemcp verified Safe content atomic mcp-remote

Registry

MCP-Registry-MCP is a server implementation that provides a bridge to the Model Context Protocol Registry service. Developed by maorfr, it enables AI assistants to interact with the MCP registry through four key tools: checking server health, listing registry entries, retrieving server details, and publishing new server entries. The server requires configuration with a registry URL and API key, can be run in containers using Podman or Docker, and is particularly useful for managing and discovering MCP server implementations within the registry ecosystem.

Cognium trust score

98%

Tier

Verified

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 2026-09-28.

Scan details: Circle-IR · 2026-09-28 · Appeal

View full trust & usage report →

Metadata

Version: 1.0.0
Skill type: atomic
Execution layer: mcp-remote
Category: cloud-infra
Source: PulseMCP
Repository: github.com/redhat-community-ai-tools/mcp-registry-mcp
Author type: human
Last scanned: 2026-09-28
Updated: 2026-09-28

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MCP

Resolve Registry 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"