# Prometheus

> Use this tool when you need to integrate Prometheus metrics into AI-driven workflows for automated system health monitoring, performance analysis, and anomaly detection. It provides a structured interface to access metric schemas, metadata, and statistical information through a RESTful API, supporting basic authentication. By using this tool, DevOps teams and data analysts can easily retrieve and analyze monitoring data, abstracting away Prometheus query complexities.

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

## Description

This MCP server for Prometheus, developed by LogLM, provides a bridge between AI assistants and Prometheus metrics data. It offers a structured interface to access metric schemas, metadata, and current statistical information from Prometheus instances. The server supports basic authentication and exposes metrics through a RESTful API structure. By abstracting Prometheus query complexities, it enables AI systems to easily retrieve and analyze monitoring data. This implementation is particularly useful for DevOps teams, system administrators, and data analysts who want to incorporate Prometheus metrics into AI-driven workflows for tasks such as automated system health monitoring, performance analysis, and anomaly detection.

## Trust

- **Trust score (0–1):** 0.95
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** devops-ci
- **Updated:** 2026-09-28

## Source

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

## 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": "loglm-prometheus"
    }
  }
}
```

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