# Prometheus

> Use this tool when you need to query and analyze metrics data for monitoring and troubleshooting purposes. It solves problems related to metric discovery, data retrieval, and scrape target monitoring, and provides inputs such as PromQL queries and authentication credentials, with outputs including metric data and metadata in JSON format. Ideal for use in production deployments requiring scalable and secure metric analysis.

Canonical page: https://skillsregistry.net/skills/fabriciodf-prometheus  
JSON: https://api.skillsregistry.net/v1/skills/fabriciodf-prometheus

## Description

Enables querying and analyzing Prometheus metrics through PromQL instant and range queries, metric discovery with pagination, metadata retrieval, and scrape target monitoring. Supports authentication via basic auth and bearer tokens, provides Docker containerization, and includes structured JSON logging for production deployments. The implementation uses FastMCP and uv for dependency management.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** cloud-infra
- **Updated:** 2026-04-25

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/fabriciodf-prometheus)
- **Repository:** <https://github.com/fabriciodf/otel_prom_mcp_server/tree/HEAD/prometheus-mcp-server>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "fabriciodf-prometheus"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/fabriciodf-prometheus` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/fabriciodf-prometheus/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt