Prometheus MCP Server
Connect Prometheus to Claude, Cursor or any other MCP client and it stops being a tab you switch to. Prometheus MCP Server. The prometheus mcp server is what makes that connection.
A Model Context Protocol (MCP) server that provides seamless integration between AI assistants and Prometheus, enabling natural language interactions with your monitoring infrastructure. This server allows for effortless querying, discovery, and analysis of metrics through Visual Studio Code, Cursor, Windsurf, Claude Desktop, and other MCP clients.
The server ships on npm as prometheus-mcp, so your MCP client can launch it on demand — there is no separate build step. Add the server block to your client's configuration, restart it, and the tools register themselves.
The toolset is worth reading before you wire it up, because it tells you what the integration is really for:
Description — List all available Prometheus metricsParameters — NoneRead-only — trueConfiguration is passed through the environment: PROMETHEUS_URL. Treat anything key-shaped as a real credential — scope it to the minimum the server needs, and rotate it if it ever lands in a shared config.
Plenty of monitoring and observability servers cover similar ground. The differences that matter in practice are scope of access and how much setup stands between you and a working tool call. Prometheus's toolset — Description, Parameters, Read-only — is a fair guide to whether it matches your workflow. It is maintained by idanfishman; worth a glance at recent repository activity before you build anything load-bearing on it.
We check each listing at SyncDev against the project's documentation before it goes live — if something here drifts out of date, it is a bug worth reporting.
| Tool | What it does |
|---|---|
| Description | List all available Prometheus metrics |
| Parameters | None |
| Read-only | **true** |
{
"mcpServers": {
"prometheus": {
"command": "npx",
"args": ["prometheus-mcp@latest", "stdio"],
"env": {
"PROMETHEUS_URL": "http://localhost:9090"
}
}
}
}Configuration as documented by the project. Restart the client after saving.
| Variable | Description | Required |
|---|---|---|
| PROMETHEUS_URL | Endpoint or connection string the server talks to. | Yes |
Give your coding agent the full DevTools toolbox: traces, network, console, heap snapshots and Lighthouse.
Dashboards, Prometheus and Loki queries, incidents and alerts — observability by conversation.
Errors with full context — stack traces, issue triage and AI-powered root-cause analysis from Sentry's server.
Enables enhanced web research capabilities for large language models through intelligent search queuing and advanced content extraction.
Automates browser interactions and enables Large Language Models (LLMs) to interact with web pages through Playwright and Chrome DevTools Protocol
Guides tool usage by providing recommendations for MCP tools at each problem-solving stage.