Prometheus
This Prometheus MCP server implementation by Freepik Company provides AI assistants with direct access to Prometheus monitoring data through three core tools: instant PromQL queries, range queries with time windows, and metric discovery. Built in Go with comprehensive authentication support including JWT validation, OAuth 2.0 flows, and basic/token auth, it can operate in both stdio and HTTP transport modes with configurable middleware for access logging and security. The implementation includes custom Prometheus client configuration with multi-tenant support via X-Scope-OrgId headers and integrates with enterprise identity providers through JWKS validation and CEL expression-based authorization rules, making it suitable for monitoring dashboards, alerting systems, and operational analytics workflows in production environments.
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 2026-09-19.
Scan details: Circle-IR · 2026-09-19 · Appeal
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- data-analytics
- Source
- PulseMCP
- Repository
- github.com/freepik-company/prometheus-mcp
- Author type
- human
- Last scanned
- 2026-09-19
- Updated
- 2026-09-19
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.