What do I need to run Prometheus MCP Server?
You need a Prometheus server accessible from your environment and an MCP-compatible client such as Claude Desktop, VS Code, Cursor, or Windsurf.
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基本情報
A Model Context Protocol (MCP) server that enables AI agents and LLMs to query and analyze Prometheus metrics through standardized interfaces.
以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。
{
"mcpServers": {
"prometheus-mcp-server": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"\\"
]
}
}
}System
Query
Query
Discovery
Discovery
Discovery
Prometheus MCP Server is a Model Context Protocol server that gives AI assistants the power to query your Prometheus metrics and execute PromQL queries through standardized MCP interfaces. It is intended for users of MCP-compatible clients such as Claude Desktop, VS Code, Cursor, or Windsurf who need to analyze metrics data from a Prometheus server.
Install and run the server via Docker, or deploy to Kubernetes using the provided Helm chart. Configure it by setting the PROMETHEUS_URL environment variable to point to your Prometheus server, plus optional authentication and transport variables. Add the server to your MCP client’s configuration (for example, Claude Desktop or VS Code) using the Docker command shown in the README.
You need a Prometheus server accessible from your environment and an MCP-compatible client such as Claude Desktop, VS Code, Cursor, or Windsurf.
Set the `PROMETHEUS_URL` environment variable to the URL of your Prometheus server. Optional authentication can be configured via `PROMETHEUS_USERNAME` and `PROMETHEUS_PASSWORD`, `PROMETHEUS_TOKEN`, or client certificate variables.
The server supports stdio (default), HTTP, and SSE transport modes, controlled by the `PROMETHEUS_MCP_SERVER_TRANSPORT` environment variable.
Yes, the list of tools is configurable so you can choose which tools to expose to the MCP client, helping to save context window space.
Yes, the server supports basic authentication, bearer token authentication, and mutual TLS authentication, all configured via environment variables.

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