# Prometheus MCP Server

> Use this tool when you need to execute PromQL queries across multiple Prometheus tenants, enabling AI assistants to discover metrics and perform instant and range query analysis. It solves problems of secure multi-tenant metric analysis, supporting single and multi-tenant configurations with authentication. The Prometheus MCP Server takes PromQL queries as input and returns metric data as output, ideal for use cases requiring centralized metric discovery and analysis.

Canonical page: https://skillsregistry.net/skills/jayanth-kulkarni-avesha-prometheus-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/jayanth-kulkarni-avesha-prometheus-mcp-server

## Description

Enables AI assistants to execute PromQL queries and discover metrics across multiple Prometheus tenants using the Model Context Protocol. It supports single and multi-tenant configurations with secure authentication for instant and range query analysis.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** monitoring
- **Updated:** 2026-04-22

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/j54hqk50he)
- **Repository:** <https://github.com/Jayanth-Kulkarni-Avesha/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": "jayanth-kulkarni-avesha-prometheus-mcp-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/jayanth-kulkarni-avesha-prometheus-mcp-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/jayanth-kulkarni-avesha-prometheus-mcp-server/pull`

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