Prometheus
The Prometheus MCP server enables AI assistants to query and analyze Prometheus metrics through a standardized interface. Built in Go, it provides tools for executing instant and range PromQL queries, retrieving series data, accessing metadata, and monitoring scrape targets, alerts, and rules. The server communicates via stdin/stdout following the MCP protocol, connects to a configurable Prometheus instance, and includes comprehensive error handling and debugging capabilities. This implementation is particularly valuable for DevOps engineers and SREs who need to troubleshoot infrastructure issues, analyze performance metrics, or monitor system health without leaving their AI assistant conversation context.
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
- devops-ci
- Source
- PulseMCP
- Repository
- github.com/cgoolsby/prometheus-mcp
- Author type
- human
- Last scanned
- 2026-09-28
- Updated
- 2026-09-28
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.