How to Use the Grafana MCP in Mastra AI
Build automated incident response workflows for Mastra AI using direct Grafana observability.
Works with every AI agent you already use
…and any MCP-compatible client
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.
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.
Set up Grafana MCP in Mastra AI
Prerequisites
- Node.js 18+ and a TypeScript project
-
@mastra/mcp+@mastra/corepackages - Active Vinkius subscription with a valid endpoint token
- 1
Install dependencies
Run
npm install @mastra/mcp @mastra/coreplus your preferred model provider (e.g.@ai-sdk/openai). - 2
Configure the MCPClient
Create an
MCPClientwith your Vinkius endpoint as aURLobject. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. - 3
Discover and inject tools
Call
mcpClient.listTools()and spread the result into your agent'stoolsobject. All Grafana tools become native Mastra tools. - 4
Run with any model
Swap
openai("gpt-4o")for any AI SDK-compatible provider. Callagent.generate()and the agent routes tool calls through MCP automatically.
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
Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.
Real-time monitoring
Live
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
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