Prometheus MCP Server
by pab1it0
A Model Context Protocol (MCP) server for Prometheus, providing access to metrics and queries through standardized MCP interfaces. This allows AI assistants to execute PromQL queries and analyze metrics data.
Last updated: N/A
What is Prometheus MCP Server?
A Model Context Protocol (MCP) server that enables AI assistants to interact with Prometheus metrics and queries through standardized MCP interfaces.
How to use Prometheus MCP Server?
- Ensure your Prometheus server is accessible. 2. Configure environment variables for Prometheus URL and authentication (if needed). 3. Add the server configuration to your client configuration file (e.g., Claude Desktop). Docker usage is also supported for easy deployment.
Key features of Prometheus MCP Server
Execute PromQL queries against Prometheus
Discover and explore metrics (list, get metadata, view instant/range query results)
Authentication support (Basic auth, Bearer token)
Docker containerization support
Interactive tools for AI assistants
Configurable tool list
Use cases of Prometheus MCP Server
Allow AI assistants to analyze Prometheus metrics
Enable AI-driven troubleshooting of infrastructure issues
Automate metric exploration and analysis
Integrate Prometheus data into AI-powered dashboards
FAQ from Prometheus MCP Server
What is MCP?
What is MCP?
MCP stands for Model Context Protocol, a standardized interface for accessing data and functionality from various sources.
How do I configure authentication?
How do I configure authentication?
You can configure authentication using either Basic Auth or Bearer Token authentication via environment variables.
How do I run this server with Docker?
How do I run this server with Docker?
You can build and run the Docker image using docker build and docker run or use docker-compose.
What tools are available?
What tools are available?
Available tools include execute_query, execute_range_query, list_metrics, get_metric_metadata, and get_targets.
How do I contribute to the project?
How do I contribute to the project?
Contributions are welcome! Please open an issue or submit a pull request if you have any suggestions or improvements.