Prometheus Mcp Server Py
What is Prometheus Mcp Server Py
Prometheus MCP Server is a tool that provides access to Prometheus data through a Model Context Protocol server, enabling users to interact with Prometheus metrics easily.
Use cases
Use cases include monitoring application performance, analyzing system metrics, and integrating Prometheus data with other tools or services for enhanced observability.
How to use
To use Prometheus MCP Server, you can install it via Smithery or manually using pipx. You can also run it directly without installation for testing purposes. Command line arguments allow you to specify the Prometheus server URL, authentication details, and other options.
Key features
Key features include support for basic authentication, token-based authentication, organization ID for multi-tenant setups, customizable evaluation timeout, and a limit on the number of returned series.
Where to use
Prometheus MCP Server can be used in various fields such as DevOps, cloud monitoring, and application performance management, where access to Prometheus metrics is required.
Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
Overview
What is Prometheus Mcp Server Py
Prometheus MCP Server is a tool that provides access to Prometheus data through a Model Context Protocol server, enabling users to interact with Prometheus metrics easily.
Use cases
Use cases include monitoring application performance, analyzing system metrics, and integrating Prometheus data with other tools or services for enhanced observability.
How to use
To use Prometheus MCP Server, you can install it via Smithery or manually using pipx. You can also run it directly without installation for testing purposes. Command line arguments allow you to specify the Prometheus server URL, authentication details, and other options.
Key features
Key features include support for basic authentication, token-based authentication, organization ID for multi-tenant setups, customizable evaluation timeout, and a limit on the number of returned series.
Where to use
Prometheus MCP Server can be used in various fields such as DevOps, cloud monitoring, and application performance management, where access to Prometheus metrics is required.
Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
Content
Prometheus MCP Server
A tool that allows access to Prometheus data through a Model Context Protocol server.
Installation
Installing via Smithery
To install Prometheus Data Access Server for Claude Desktop automatically via Smithery:
npx -y @smithery/cli install @kakao-yanoo-kim/prometheus-mcp-server-py --client claude
Manual Installation
pipx install git+https://github.com/kakao-yanoo-kim/prometheus-mcp-server-py.git
Run Without Installation
You can also run the package directly without installing it using pipx run:
pipx run --spec git+https://github.com/kakao-yanoo-kim/prometheus-mcp-server-py.git prometheus-mcp --url http://your-prometheus-server:9090
This is useful for testing or one-time usage scenarios.
Usage
# Command line arguments
prometheus-mcp --url http://your-prometheus-server:9090 \
--username username \
--password password
# Or
prometheus-mcp --url http://your-prometheus-server:9090 \
--token your-token
Command Line Arguments
--url: Prometheus server URL (required)--username: Username for basic authentication (optional)--password: Password for basic authentication (optional)--token: Token for authentication (optional)--org-id: Organization ID for multi-tenant setups (optional)--timeout: Evaluation timeout in seconds (default: 30)--limit: Maximum number of returned series (default: 1000)
Dev Tools Supporting MCP
The following are the main code editors that support the Model Context Protocol. Click the link to visit the official website for more information.
