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Datadog MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 16 tools to Check Datadog Status, Create Event, Get Dashboard, and more

Built by Vinkius GDPR 16 Tools SDK

The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Datadog through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.

Use with Your AI Agent

Ask AI about this App Connector for Vercel AI SDK

Open in ChatGPT Open in Claude Open in Perplexity

The Datadog app connector for Vercel AI SDK is a standout in the Loved By Devs category — giving your AI agent 16 tools to work with, ready to go from day one.

Vinkius delivers Streamable HTTP and SSE to any MCP client

typescript
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 Datadog, list all available capabilities.",
    });
    console.log(text);
  } finally {
    await mcpClient.close();
  }
}

main();
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Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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 Datadog MCP Server

Connect your Datadog account to any AI agent and take full control of your observability stack through natural conversation.

The Vercel AI SDK gives every Datadog tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 16 tools through 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

  • Monitor Management — List, search, inspect, and mute monitors to control alert noise during maintenance windows
  • Dashboard Inspection — Browse dashboards and retrieve full layouts, widgets, and template variables
  • Metric Queries — Run time-series queries using Datadog syntax (e.g., avg:system.cpu.user{*}) with custom time ranges
  • Log Search — Search log events using Datadog query syntax across all indexed log sources
  • Event Tracking — Browse platform events and create custom events with tags and priority levels
  • Incident Management — List active incidents with severity, status, responders, and timeline details
  • SLO Monitoring — Review Service Level Objectives with targets, error budgets, and compliance status
  • Host Inventory — Access all reporting hosts with metadata, tags, and agent versions

The Datadog MCP Server exposes 16 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.

All 16 Datadog tools available for Vercel AI SDK

When Vercel AI SDK connects to Datadog through Vinkius, your AI agent gets direct access to every tool listed below — spanning full-stack-monitoring, infrastructure-metrics, log-analysis, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.

check_datadog_status

Verify connectivity

create_event

Create an event

get_dashboard

Get dashboard details

get_incident

Get incident details

get_monitor

Get monitor details

list_dashboards

List dashboards

list_events

List events

list_hosts

List hosts

list_incidents

List incidents

list_metrics

List metrics

list_monitors

List monitors

list_slos

List SLOs

mute_monitor

Mute a monitor

query_metrics

Query metric data

search_logs

Search logs

search_monitors

Search monitors

Connect Datadog to Vercel AI SDK via MCP

Follow these steps to wire Datadog into Vercel AI SDK. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.

01

Install dependencies

Run npm install @ai-sdk/mcp ai @ai-sdk/openai
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Run the script

Save to agent.ts and run with npx tsx agent.ts
04

Explore tools

The SDK discovers 16 tools from Datadog and passes them to the LLM

Why Use Vercel AI SDK with the Datadog MCP Server

Vercel AI SDK provides unique advantages when paired with Datadog through the Model Context Protocol.

01

TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box

02

Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same Datadog integration everywhere

03

Built-in streaming UI primitives let you display Datadog tool results progressively in React, Svelte, or Vue components

04

Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency

Datadog + Vercel AI SDK Use Cases

Practical scenarios where Vercel AI SDK combined with the Datadog MCP Server delivers measurable value.

01

AI-powered web apps: build dashboards that query Datadog in real-time and stream results to the UI with zero loading states

02

API backends: create serverless endpoints that orchestrate Datadog tools and return structured JSON responses to any frontend

03

Chatbots with tool use: embed Datadog capabilities into conversational interfaces with streaming responses and tool call visibility

04

Internal tools: build admin panels where team members interact with Datadog through natural language queries

Example Prompts for Datadog in Vercel AI SDK

Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Datadog immediately.

01

"Show all monitors that are currently alerting and mute the noisiest one."

02

"Search for error logs in production from the last hour."

03

"List all SLOs and tell me which ones are at risk of breaching their error budget."

Troubleshooting Datadog MCP Server with Vercel AI SDK

Common issues when connecting Datadog to Vercel AI SDK through the Vinkius, and how to resolve them.

01

createMCPClient is not a function

Install: npm install @ai-sdk/mcp

Datadog + Vercel AI SDK FAQ

Common questions about integrating Datadog MCP Server with Vercel AI SDK.

01

How does the Vercel AI SDK connect to MCP servers?

Import createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.
02

Can I use MCP tools in Edge Functions?

Yes. The AI SDK is fully edge-compatible. MCP connections work on Vercel Edge Functions, Cloudflare Workers, and similar runtimes.
03

Does it support streaming tool results?

Yes. The SDK provides streaming primitives like useChat and streamText that handle tool calls and display results progressively in the UI.