Grafana MCP Server

The Grafana MCP server bridges the gap between AI assistants and real‑time monitoring dashboards by exposing Grafana’s query and visualization capabilities through the Model Context Protocol. It allows an AI client to request metric data, generate queries, and retrieve visual representations directly from Grafana without leaving the conversational flow. This eliminates the need for manual dashboard navigation or API calls, enabling developers to embed live monitoring insights into chat‑based tooling, automated support systems, or intelligent analytics assistants.

By running on the go‑zero framework, the server inherits high concurrency, low latency, and robust routing features. It exposes a set of MCP resources that encapsulate Grafana’s data sources, panels, and alerting mechanisms. An AI assistant can ask for “the CPU usage trend over the last 24 hours” and receive a structured JSON payload containing both the raw time series data and an SVG or PNG of the corresponding panel. This tight coupling between query generation and visual output lets developers create seamless, context‑aware interactions where the assistant can suggest corrective actions or drill down into specific metrics on demand.

Key capabilities include:

• Dynamic query construction: The server interprets natural language or structured prompts to build Grafana queries on the fly.
• Panel rendering: It can render existing panels or generate new ones, returning image URLs that the assistant can embed in responses.
• Alert integration: The MCP exposes alert definitions and statuses, allowing AI agents to notify users of threshold breaches or recommend remediation steps.
• Multi‑tenant support: Each request can be scoped to a specific Grafana organization or data source, ensuring secure and isolated access.

Typical use cases span DevOps chatops, incident response bots, and analytics dashboards within conversational UIs. For example, a support assistant can automatically pull the latest latency graph when a user reports performance issues, or an engineering bot can trigger alerts based on anomalous metrics and suggest remediation scripts. By integrating directly into AI workflows, Grafana MCP reduces context switching, accelerates troubleshooting, and enhances the value of conversational agents in monitoring environments.