A Prometheus Model Context Protocol Server.
Connect Prometheus to Claude, Cursor or any other MCP client and it stops being a tab you switch to. A Prometheus Model Context Protocol Server. The prometheus mcp server is what makes that connection.
A Go-based MCP server that exposes Prometheus query capabilities via the Model Context Protocol.
Setup follows the usual MCP pattern — install or clone the server, register it in your client's configuration file, restart the client. The configuration blocks on this page cover the common clients.
The toolset is worth reading before you wire it up, because it tells you what the integration is really for:
Flags — The Flags tool exposed by this serverConfiguration is passed through the environment: AUTH_TOKEN. 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 — Flags — is a fair guide to whether it matches your workflow. It is maintained by yshngg; 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We check each listing at SyncDev against the project's documentation before it goes live — if something here drifts out of date, it is a bug worth reporting.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 |
|---|---|
| Flags | The Flags tool exposed by this server. |
With Docker:
```json
{
"mcpServers": {
"prometheus": {
"command": "docker",
"args": [
"run",
"--rm",
"-i",
"ghcr.io/yshngg/prometheus-mcp-server:latest",
"--prom-addr",
"http://host.docker.internal:9090"
]
}
}
}Configuration as documented by the project. Restart the client after saving.
| Variable | Description | Required |
|---|---|---|
| AUTH_TOKEN | Credential the server authenticates with. | 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.