MCP Server Prometheus

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MCP-Mirror

关于 MCP Server Prometheus

Mirror of

#mcp-server #prometheus #metrics

MCP Server Prometheus 配置

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代码仓库

MCP Server Prometheus 工具

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概览

What is mcp-server-prometheus?

mcp-server-prometheus is a TypeScript-based MCP server that bridges Claude with a Prometheus instance. It enables listing and reading Prometheus metric metadata and statistics through the Model Context Protocol.

How to use mcp-server-prometheus?

Configure the PROMETHEUS_URL environment variable (and optionally PROMETHEUS_USERNAME/PROMETHEUS_PASSWORD for basic auth). Add the server to your Claude Desktop config by pointing to the built index.js and setting the required environment. Use npm run build to compile, npm run watch for auto-rebuild, and npm run inspector for debugging.

Key features of mcp-server-prometheus

List all available Prometheus metrics with descriptions
Read detailed metric metadata and help text
Access current statistical data (count, min, max)
JSON mime type for structured metric access
Basic authentication support for secured Prometheus instances

Use cases of mcp-server-prometheus

Inspect Prometheus metric schema and metadata via Claude
Retrieve current statistics for a specific metric
Monitor Prometheus metric health without a dedicated dashboard

常见问题

What environment variables are needed?

`PROMETHEUS_URL` is required. Optionally, set `PROMETHEUS_USERNAME` and `PROMETHEUS_PASSWORD` for basic authentication.

How do I add mcp-server-prometheus to Claude Desktop?

Add a JSON entry to the Claude Desktop config file (`claude_desktop_config.json`), specifying the command path to the built `index.js` and the required environment variables.

Can I debug the server?

Yes, use `npm run inspector` to launch the MCP Inspector, which provides a URL for browser-based debugging tools.

Does the server support authentication?

Yes, it supports basic authentication via `PROMETHEUS_USERNAME` and `PROMETHEUS_PASSWORD` environment variables.

What data does each metric resource return?

Each metric resource returns a JSON object containing the metric name, metadata (help text, type), and current statistics (count, min, max).

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