prometheus-mcp-server MCP Server
pab1it0/prometheus-mcp-server
[](https://agentrank-ai.com/tool/pab1it0--prometheus-mcp-server/?utm_source=badge&utm_medium=readme&utm_campaign=agentrank_badge) A Model Context Protocol (MCP) server that enables AI agents and LLMs to query and analyze Prometheus metrics through standardized interfaces.
claude mcp add agentrank -- npx -y agentrank-mcp-server Overview
pab1it0/prometheus-mcp-server is a Python MCP server licensed under MIT. A Model Context Protocol (MCP) server that enables AI agents and LLMs to query and analyze Prometheus metrics through standardized interfaces. Topics: ai, devops, llm, mcp, prometheus, model-context-protocol.
Ranked #157 out of 24846 indexed tools.
In the top 1% of all indexed tools.
Has 20 contributors.
Ecosystem
Score Breakdown
518 stars → growing community
Last commit 16d ago → recently updated
36/40 issues closed → responsive maintainer
20 contributors → active community
No dependents → no downstream usage
4,291 weekly installs → gaining traction
Weights: Freshness 20% · Issue Health 20% · Dependents 22% · Stars 10% · Contributors 8% · How we score →
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From the README
# Prometheus MCP Server
Give AI assistants the power to query your Prometheus metrics.
A [Model Context Protocol][mcp] (MCP) server that provides access to your Prometheus metrics and queries through standardized MCP interfaces, allowing AI assistants to execute PromQL queries and analyze your metrics data.
[mcp]: https://modelcontextprotocol.io
## Getting Started
### Prerequisites
- Prometheus server accessible from your environment
- MCP-compatible client (Claude Desktop, VS Code, Cursor, Windsurf, etc.)
### Installation Methods
<details>
<summary><b>Claude Desktop</b></summary>
Add to your Claude Desktop configuration:
```json
{
"mcpServers": {
"prometheus": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"-e",
"PROMETHEUS_URL",
"ghcr.io/pab1it0/prometheus-mcp-server:latest"
],
"env": {
"PROMETHEUS_URL": "<your-prometheus-url>"
}
}
}
}
```
</details>
<details>
<summary> Read full README on GitHub → Get the weekly AgentRank digest
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