github scanned Safe content atomic container

mcp-prometheus

mcp-prometheus — giantswarm-mcp-prometheus. Use this tool when you need to monitor and track changes in your Git repository, as mcp-prometheus provides core functionality for version control and issue tracking, solving problems related to collaboration and development workflow. It takes Git repository data as input and outputs metrics and insights on repository activity. Use it in development and collaboration contexts to streamline your workflow and improve team productivity.

Cognium trust score

65%

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 2026-08-28.

Scan details: Circle-IR · 2026-08-28 · Appeal

View full trust & usage report →

Metadata

Version: 1.0.0
Skill type: atomic
Execution layer: container
Category: monitoring
Source: GitHub
Author type: human
Last scanned: 2026-08-28
Updated: 2026-09-26

View source Find related skills

MCP

Resolve mcp-prometheus 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"