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How to Use the Grafana MCP in Mastra AI

Build automated incident response workflows for Mastra AI using direct Grafana observability.

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Works with every AI agent you already use

…and any MCP-compatible client

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Mastra AI

Connect Grafana MCP to Mastra AI

Create your Vinkius account to connect Grafana to Mastra AI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Automated alert triage with Mastra AI

Create agent workflows that trigger based on current system health. The agent runs `firing_alerts` to detect issues before they escalate. If an alert matches your criteria, the agent automatically progresses to the next step in your Mastra AI pipeline. This removes manual verification from your incident response.

Context-aware dashboard analysis

Give your agents the ability to read dashboard configurations by invoking `get_dashboard`. The agent parses panel queries to understand the root cause of an outage. First, use `search_dashboards` to find the relevant UID. Then, feed that data into your Mastra AI agent to generate a diagnosis.

Datasource discovery for agents

Ensure your agents know their environment by calling `list_datasources`. This lets the agent verify which metrics providers are active before running complex diagnostic routines. Your workflows stay robust by checking the availability of data sources first. It prevents failed tool calls when a specific backend is offline.

Setup guide

Set up Grafana MCP in Mastra AI

Prerequisites

  • Node.js 18+ and a TypeScript project
  • @mastra/mcp + @mastra/core packages
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Install dependencies

    Run npm install @mastra/mcp @mastra/core plus your preferred model provider (e.g. @ai-sdk/openai).

  2. 2

    Configure the MCPClient

    Create an MCPClient with your Vinkius endpoint as a URL object. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.

  3. 3

    Discover and inject tools

    Call mcpClient.listTools() and spread the result into your agent's tools object. All Grafana tools become native Mastra tools.

  4. 4

    Run with any model

    Swap openai("gpt-4o") for any AI SDK-compatible provider. Call agent.generate() and the agent routes tool calls through MCP automatically.

agent.ts
import { MCPClient } from "@mastra/mcp";
import { Agent } from "@mastra/core/agent";
import { openai } from "@ai-sdk/openai";

const mcpClient = new MCPClient({
  id: "grafana-mcp-client",
  servers: {
    "grafana-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

const agent = new Agent({
  name: "Grafana Agent",
  model: openai("gpt-4o"),
  instructions: "You have access to Grafana tools.",
  tools: {
    ...(await mcpClient.listTools()),
  },
});

const result = await agent.generate(
  "List recent Grafana transactions"
);
console.log(result.text);

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Grafana. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

Why Choose Vinkius

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Real-time monitoring

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visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Grafana MCP in Mastra AI

Add the server to your agent configuration. Mastra AI picks up the tools, allowing you to use them in any step of your workflow.
Yes. You can write a workflow that calls `firing_alerts` periodically and executes logic if the returned list is not empty.
You should use `requireToolApproval` for sensitive actions. This keeps a human in the loop before the agent executes any mitigation.
You provide the API key as an environment variable to the server. The MCP connection handles the authentication securely at runtime.
It accesses your alert status, dashboard JSON, and datasource metadata. It does not touch your raw private database records or user identity data.

Start using the Grafana MCP today

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Built & Managed by Vinkius 30s setup 4 tools

We've already built the connector for Grafana. Just plug in your AI agents and start using Vinkius.

No hosting. No infrastructure. No complex setup.
All 4 tools are live and waiting. You're up and running in seconds.

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