Prometheus MCP server

Integrates with Prometheus to query and analyze time-series metrics data for real-time system monitoring and performance insights.
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Setup instructions
Provider
CaesarYangs
Release date
Dec 06, 2024
Language
Python
Stats
27 stars

The Prometheus MCP Server provides a Model Context Protocol interface allowing Large Language Models to interact with Prometheus databases. It enables metric data retrieval, analysis, searching metric usage, and executing complex PromQL queries through predefined routes.

Installation Options

Using Smithery (Automated Installation)

The easiest way to install the Prometheus MCP Server for Claude Desktop is via Smithery:

npx -y @smithery/cli install @CaesarYangs/prometheus_mcp_server --client claude

Manual Installation

Set Up Python Environment

cd ./src/prometheus_mcp_server
python3 -m venv .venv

# On Linux/macOS:
source .venv/bin/activate

# On Windows:
.venv\Scripts\activate

Install Dependencies

If pip is not available in your virtual environment:

wget https://bootstrap.pypa.io/get-pip.py
python3 get-pip.py

Install required packages:

pip install -r requirements.txt

Usage Configuration

With Cursor Environment

Add this to the MCP section in Cursor Settings:

uv --directory /path/to/prometheus_mcp_server run server.py

With Claude Desktop

Configure Claude Desktop by editing the configuration file at:

  • macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
{
    "mcpServers": {
        "prometheus": {
            "command": "uv",
            "args": [
                "--directory",
                "/path/to/prometheus_mcp_server",
                "run",
                "server.py"
            ],
            "env": {
                "PROMETHEUS_HOST": "http://localhost:9090"
            }
        }
    }
}

Running as Standalone Server

Using uv (Recommended)

uv --directory /path/to/prometheus_mcp_server run server.py

Using Standard Python

python3 server.py

Capabilities

The MCP server currently supports:

  • Metric Information Retrieval: Get comprehensive metric names and descriptions
  • Specific Metric Analysis: Fetch and analyze metric data by name
  • Time Range Analysis: Analyze metrics within custom time ranges

Coming soon:

  • Label-based filtering and matching (in development)
  • Additional planned features

How to install this MCP server

For Claude Code

To add this MCP server to Claude Code, run this command in your terminal:

claude mcp add-json "prometheus" '{"command":"uv","args":["--directory","/path/to/prometheus_mcp_server","run","server.py"],"env":{"PROMETHEUS_HOST":"http://localhost:9090"}}'

See the official Claude Code MCP documentation for more details.

For Cursor

There are two ways to add an MCP server to Cursor. The most common way is to add the server globally in the ~/.cursor/mcp.json file so that it is available in all of your projects.

If you only need the server in a single project, you can add it to the project instead by creating or adding it to the .cursor/mcp.json file.

Adding an MCP server to Cursor globally

To add a global MCP server go to Cursor Settings > Tools & Integrations and click "New MCP Server".

When you click that button the ~/.cursor/mcp.json file will be opened and you can add your server like this:

{
    "mcpServers": {
        "prometheus": {
            "command": "uv",
            "args": [
                "--directory",
                "/path/to/prometheus_mcp_server",
                "run",
                "server.py"
            ],
            "env": {
                "PROMETHEUS_HOST": "http://localhost:9090"
            }
        }
    }
}

Adding an MCP server to a project

To add an MCP server to a project you can create a new .cursor/mcp.json file or add it to the existing one. This will look exactly the same as the global MCP server example above.

How to use the MCP server

Once the server is installed, you might need to head back to Settings > MCP and click the refresh button.

The Cursor agent will then be able to see the available tools the added MCP server has available and will call them when it needs to.

You can also explicitly ask the agent to use the tool by mentioning the tool name and describing what the function does.

For Claude Desktop

To add this MCP server to Claude Desktop:

1. Find your configuration file:

  • macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
  • Windows: %APPDATA%\Claude\claude_desktop_config.json
  • Linux: ~/.config/Claude/claude_desktop_config.json

2. Add this to your configuration file:

{
    "mcpServers": {
        "prometheus": {
            "command": "uv",
            "args": [
                "--directory",
                "/path/to/prometheus_mcp_server",
                "run",
                "server.py"
            ],
            "env": {
                "PROMETHEUS_HOST": "http://localhost:9090"
            }
        }
    }
}

3. Restart Claude Desktop for the changes to take effect

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