A
licenseA
qualityA
maintenanceProvides access to Prometheus metrics and queries through standardized Model Context Protocol interfaces, allowing AI assistants to execute PromQL queries and analyze metrics data.
6
519
MIT
Prometheus MCP Server
Allows access to Prometheus monitoring data through an MCP server, supporting authentication via username/password or token, and compatibility with multi-tenant setups through organization ID specification.
Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@Prometheus MCP Servershow 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.
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 claudeManual Installation
pipx install git+https://github.com/kakao-yanoo-kim/prometheus-mcp-server-py.gitRun 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:9090This is useful for testing or one-time usage scenarios.
Related MCP server: Prometheus MCP Server
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-tokenCommand 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)
This server cannot be deployed
Maintenance
ActivityInactive
ResponsivenessNo issues
Related MCP Connectors
The Remote MCP server acts as a standardized bridge between LLM applications (like Claude, ChatGPT, and Cursor) and external services, enabling AI agents to access external tools and resources. Its primary capability is providing a centralized search tool to discover other MCP servers and their respective tools. Unlike local implementations, it runs remotely with OAuth authentication and permission controls for security.
The Cortex MCP server provides read-only access to real-time engineering context from the Cortex developer portal, allowing AI coding assistants to answer natural language questions about your organization's catalog (microservices, libraries, domains, teams, infrastructure), scorecards (engineering standards and best practices), initiatives (goals and deadlines), and Engineering Intelligence metrics. It includes tools for querying documentation, tracking personal entities, and accessing AI-assisted insights across the entire Cortex ecosystem.
Enable secure connectivity between Sentry issues and debugging data, and LLM clients, using a Model Context Protocol (MCP) server.
A comprehensive Model Context Protocol (MCP) server that enables AI assistants to interact with yo…
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