Frequently Asked Questions about Prometheus MCP Server

Q: What is the Prometheus MCP Server?

A: 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.

Q: What is MCP?

A: 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.

Q: How does the Prometheus MCP Server integrate with UBOS?

A: 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.

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

A: 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.

Q: What authentication methods does the Prometheus MCP Server support?

A: The server supports:

• Username and password for basic authentication.
• Token-based authentication.

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

A: 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).

Q: How do I install the Prometheus MCP Server?

A: 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

Q: Can I run the server without installing it?

A: Yes, you can use pipx run for testing or one-time usage:

bash pipx run --spec git+https://github.com/kakao-yanoo-kim/prometheus-mcp-server-py.git prometheus-mcp --url http://your-prometheus-server:9090

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

A: 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.

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

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