Name: Prometheus MCP Server
Author: kakao-yanoo-kim

Question 1

What is the Prometheus MCP Server?

Accepted Answer

The Prometheus MCP Server is a tool that allows AI models and applications to access data from Prometheus monitoring systems through the Model Context Protocol (MCP). It acts as a bridge between Prometheus and AI agents, enabling them to leverage real-time performance metrics.

Question 2

What is MCP?

Accepted Answer

MCP is an open protocol that standardizes how applications provide context to LLMs. MCP (Model Context Protocol) server acts as a bridge, allowing AI models to access and interact with external data sources and tools.

Question 3

How does the Prometheus MCP Server integrate with UBOS?

Accepted Answer

The Prometheus MCP Server integrates seamlessly with the UBOS platform, allowing you to easily incorporate Prometheus data into your AI agent workflows. UBOS provides a visual interface for designing, building, and deploying AI agents, making it easy to connect to the Prometheus MCP Server and access real-time data.

Question 4

What are the key benefits of using the Prometheus MCP Server?

Accepted Answer

Key benefits include: Enabling AI agents to access real-time Prometheus data, Automating tasks and improving decision-making based on performance metrics, Simplifying the integration of Prometheus data into AI agent workflows, Improving system resilience and reducing downtime.

Question 5

What authentication methods does the Prometheus MCP Server support?

Accepted Answer

The server supports: Username and password for basic authentication, Token-based authentication.

Question 6

What are the command-line arguments for configuring the Prometheus MCP Server?

Accepted Answer

Key command-line arguments include: --url: Prometheus server URL (required), --username: Username for basic authentication (optional), --password: Password for basic authentication (optional), --token: Token for authentication (optional), --timeout: Evaluation timeout in seconds (default: 30), --limit: Maximum number of returned series (default: 1000).

Question 7

How do I install the Prometheus MCP Server?

Accepted Answer

You can install it via Smithery or manually using pipx: Via Smithery: npx -y @smithery/cli install @kakao-yanoo-kim/prometheus-mcp-server-py --client claude, Manually: pipx install git+https://github.com/kakao-yanoo-kim/prometheus-mcp-server-py.git

Question 8

Can I run the server without installing it?

Accepted Answer

Yes, you can use pipx run for testing or one-time usage: pipx run --spec git+https://github.com/kakao-yanoo-kim/prometheus-mcp-server-py.git prometheus-mcp --url http://your-prometheus-server:9090

Question 9

What kind of data can I access through the Prometheus MCP Server?

Accepted Answer

You can access any data that is available in your Prometheus server, including metrics related to CPU utilization, memory usage, network latency, application performance, and more.

Question 10

Is the Prometheus MCP Server suitable for multi-tenant environments?

Accepted Answer

Yes, the server supports organization ID (--org-id) for multi-tenant setups.

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