Grafana MCP Server for Vercel AI SDK 4 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Grafana through the Vinkius and every tool is available as a typed function — ready for React Server Components, API routes, or any Node.js backend.
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Vinkius supports streamable HTTP and SSE.
import { createMCPClient } from "@ai-sdk/mcp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";
async function main() {
const mcpClient = await createMCPClient({
transport: {
type: "http",
// Your Vinkius token — get it at cloud.vinkius.com
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
});
try {
const tools = await mcpClient.tools();
const { text } = await generateText({
model: openai("gpt-4o"),
tools,
prompt: "Using Grafana, list all available capabilities.",
});
console.log(text);
} finally {
await mcpClient.close();
}
}
main();
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About Grafana MCP Server
Connect your Grafana instance to any AI agent and take full control of your application observability, dashboard inspections, and alerting workflows through natural conversation.
The Vercel AI SDK gives every Grafana tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 4 tools through the Vinkius and stream results progressively to React, Svelte, or Vue components — works on Edge Functions, Cloudflare Workers, and any Node.js runtime.
What you can do
- Dashboard Discovery Orchestration — Search for Grafana dashboards by title or tag to retrieve unique UIDs and metadata natively within your chat
- Panel & Query Inspection — Retrieve the full configuration of any dashboard by UID, extracting precise PromQL, LogQL, or SQL queries and panel layouts flawlessly
- Data Source Auditing — List all configured data sources including Prometheus, Loki, CloudWatch, and SQL databases to verify connectivity boundaries securely
- Alert Monitoring Oversight — Enumerate active alert rules and retrieve current firing states to monitor system health and resolve incidents synchronously
- Observability Navigation — Analyze specific localized variables decoding active monitoring routes and extracting structural constraints from your Grafana environment
- SRE Command Center — Verify dashboard UIDs and retrieve query strings to debug performance regressions or analyze log patterns using natural language
The Grafana MCP Server exposes 4 tools through the Vinkius. Connect it to Vercel AI SDK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect Grafana to Vercel AI SDK via MCP
Follow these steps to integrate the Grafana MCP Server with Vercel AI SDK.
Install dependencies
Run npm install @ai-sdk/mcp ai @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the script
Save to agent.ts and run with npx tsx agent.ts
Explore tools
The SDK discovers 4 tools from Grafana and passes them to the LLM
Why Use Vercel AI SDK with the Grafana MCP Server
Vercel AI SDK provides unique advantages when paired with Grafana through the Model Context Protocol.
TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box
Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime — same Grafana integration everywhere
Built-in streaming UI primitives let you display Grafana tool results progressively in React, Svelte, or Vue components
Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency
Grafana + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Grafana MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Grafana in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Grafana tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Grafana capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Grafana through natural language queries
Grafana MCP Tools for Vercel AI SDK (4)
These 4 tools become available when you connect Grafana to Vercel AI SDK via MCP:
firing_alerts
Returns alerting rules that are currently in "firing" state, including their labels and annotations. Get currently firing alerts from Grafana Unified Alerting
get_dashboard
Requires the dashboard UID, which you can get from search_dashboards. Get full dashboard configuration including panels and queries
list_datasources
) are available in this Grafana instance. List all configured data sources in Grafana
search_dashboards
Returns basic info including the UID. To inspect the panels and queries of a dashboard, use get_dashboard with the uid. Search Grafana dashboards by title or tag
Example Prompts for Grafana in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Grafana immediately.
"Search for dashboards tagged with 'production'"
"Show me the queries for dashboard 'abc-123'"
"Are there any firing alerts right now?"
Troubleshooting Grafana MCP Server with Vercel AI SDK
Common issues when connecting Grafana to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpGrafana + Vercel AI SDK FAQ
Common questions about integrating Grafana MCP Server with Vercel AI SDK.
How does the Vercel AI SDK connect to MCP servers?
createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.Can I use MCP tools in Edge Functions?
Does it support streaming tool results?
useChat and streamText that handle tool calls and display results progressively in the UI.Connect Grafana with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Grafana to Vercel AI SDK
Get your token, paste the configuration, and start using 4 tools in under 2 minutes. No API key management needed.