Prometheus
Prometheus MCP Server provides a bridge between AI assistants and Prometheus monitoring systems, enabling real-time metrics analysis through standardized interfaces. Built by pab1it0, it offers tools for executing PromQL queries, discovering available metrics, and retrieving metadata about monitoring targets. The implementation supports various authentication methods (basic auth and bearer tokens), is containerized with Docker for easy deployment, and includes comprehensive documentation for integration with Claude Desktop. This server is particularly valuable for DevOps workflows, system monitoring, and performance analysis use cases where AI assistants need direct access to operational metrics without switching context.
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately.
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/pab1it0/prometheus-mcp-server
- Author type
- human
- Updated
- 2026-04-29
Use via MCP
Resolve 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 --scope user for --scope project to commit it to .mcp.json.