Which integrations are available for this server?

Enables natural language interactions with Prometheus metrics through instant queries, range queries, metadata discovery, alert management, configuration access, and administrative operations like snapshots and health checks.

1. Click on "Install Server". 2. Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state. 3. In the chat, type @ followed by the MCP server name and your instructions, e.g., "@pmcp show me the CPU usage for the last hour" That's it! The server will respond to your query, and you can continue using it as needed. Here is a step-by-step guide with screenshots.

pmcp

by yshngg

Overview Schema Related Servers Score Discussions

Hybrid

Prometheus MCP Server

codecov

A Go-based MCP server that exposes Prometheus query capabilities via the Model Context Protocol.

Installation

go install github.com/yshngg/prometheus-mcp-server@latest

Or pull the Docker image:

docker pull ghcr.io/yshngg/prometheus-mcp-server:latest

Related MCP server: grafana-mcp-analyzer

Usage

prometheus-mcp-server --prom-addr="http://localhost:9090"

Flags

Flag	Default	Description
`-prom-addr`	`http://localhost:9090`	Prometheus server URL
`-mcp-addr`	`localhost:8080`	MCP server listen address
`-transport`	`stdio`	`stdio` or `http`
`-auth-token`	``	Bearer token for MCP endpoint authentication (optional)
`-version`		Print version

Environment Variables

All flags can be set via environment variables: PROM_ADDR, MCP_ADDR, TRANSPORT, AUTH_TOKEN.

MCP Client Configuration

Add the following config to your MCP client:

{
  "mcpServers": {
    "prometheus": {
      "command": "prometheus-mcp-server",
      "args": ["--prom-addr", "http://localhost:9090"]
    }
  }
}

NOTE

Install the binary viago install github.com/yshngg/prometheus-mcp-server@latest or pull the Docker image with docker pull ghcr.io/yshngg/prometheus-mcp-server:latest.

If you don't have the binary installed, use Docker:

{
  "mcpServers": {
    "prometheus": {
      "command": "docker",
      "args": [
        "run",
        "--rm",
        "-i",
        "ghcr.io/yshngg/prometheus-mcp-server:latest",
        "--prom-addr",
        "http://host.docker.internal:9090"
      ]
    }
  }
}

Client-specific configuration

Add to claude_desktop_config.json:

{
  "mcpServers": {
    "prometheus": {
      "command": "prometheus-mcp-server",
      "args": ["--prom-addr", "http://localhost:9090"]
    }
  }
}

With Docker:

{
  "mcpServers": {
    "prometheus": {
      "command": "docker",
      "args": [
        "run",
        "--rm",
        "-i",
        "ghcr.io/yshngg/prometheus-mcp-server:latest",
        "--prom-addr",
        "http://host.docker.internal:9090"
      ]
    }
  }
}

Add to opencode.json (guide):

{
  "$schema": "https://opencode.ai/config.json",
  "mcp": {
    "prometheus": {
      "type": "local",
      "command": [
        "prometheus-mcp-server",
        "--prom-addr",
        "http://localhost:9090"
      ]
    }
  }
}

Run the server with HTTP transport:

prometheus-mcp-server --transport=http --mcp-addr="localhost:8080"

Then configure your client to use http://localhost:8080/mcp.

For authenticated access, set AUTH_TOKEN:

AUTH_TOKEN=my-token prometheus-mcp-server --transport=http

Your client must then include Authorization: Bearer my-token in requests to /mcp.

Tools

Expression: instant_query, range_query

Metadata: find_series_by_labels, list_label_names, list_label_values, target_metadata_query, metric_metadata_query

Discovery: target_discovery, alert_query, rule_query, alertmanager_discovery

TSDB Admin: tsdb_snapshot, delete_series, clean_tombstones

Management: health_check, readiness_check, reload, quit

Resources

The server exposes Prometheus data as URI-addressable resources under the prom:/// scheme:

URI	Description
`prom:///config`	Currently loaded configuration (YAML)
`prom:///flags`	Command-line flag values
`prom:///runtime-info`	Runtime information
`prom:///build-info`	Build information
`prom:///tsdb-stats`	TSDB cardinality statistics
`prom:///wal-replay-stats`	WAL replay state

Resource Templates

URI templates for dynamic data access:

Template	Description
`prom:///api/v1/query?query={promql}`	Instant PromQL query result
`prom:///api/v1/label/{name}/values`	Label values for a given label name

Prompts

Name	Arguments	Description
`all-available-metrics`	`prefix` (optional)	Lists all metric names in the Prometheus instance

License

Apache License 2.0

This server cannot be installed

license - permissive license

quality - not tested

maintenance

How are these scores calculated?

Maintenance

–Maintainers

–Response time

–Release cycle

40Releases (12mo)

Commit activity

Issues opened vs closed

Resources

GitHub Repository

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