Datadog MCP Server for Vercel AI SDK 11 tools — connect in under 2 minutes
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.
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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 Datadog, 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 Datadog MCP Server
Connect your Datadog account to any AI agent and take full control of your infrastructure monitoring and log management through natural conversation.
The Vercel AI SDK gives every Datadog tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 11 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
- Metric Auditing — Execute static queries targeting numeric telemetry datastores to resolve specific DDQL metrics objects generated dynamically
- Log Investigation — Perform structural extraction matching target string traces inside Datadog logs to evaluate status boundaries across your apps
- Monitor Management — Discover explicit system rule endpoints bounding configured triggers against alert metrics to verify health states
- Telemetry Extraction — Fetch timestamp arrays natively from numeric logged endpoints to analyze performance trends over specific time intervals
- Log Filtering — Apply ISO boundary mappings to compare logging payloads and identify exactly when errors or bottlenecks occurred
The Datadog MCP Server exposes 11 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 Datadog to Vercel AI SDK via MCP
Follow these steps to integrate the Datadog 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 11 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.
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 Datadog integration everywhere
Built-in streaming UI primitives let you display Datadog 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
Datadog + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Datadog MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Datadog in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Datadog tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Datadog capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Datadog through natural language queries
Datadog MCP Tools for Vercel AI SDK (11)
These 11 tools become available when you connect Datadog to Vercel AI SDK via MCP:
get_dashboard
Resolves all widget configurations, template variables, and layout structures for visualization rendering. Get dashboard details
get_monitor
Resolves notification settings, threshold values, and historical status changes for the given monitor ID. Get monitor details
list_dashboards
Returns a list of dashboard identifiers, titles, layout types (timeboard/screenboard), and direct access URLs. List all dashboards
list_downtimes
Returns scope tags, recurring schedules, and current status to identify planned maintenance periods. List scheduled downtimes
list_events
Returns a collection of events including titles, priority levels, and source identifiers (e.g., monitor alerts, deployment events). List events
list_hosts
Returns host metadata including agent version, active tags, and associated cloud provider attributes. List infrastructure hosts
list_monitors
Filters results by operational state (alert, warn, no data, ok) and returns monitor metadata including type, query, and current status. List monitors by state
list_slos
Returns SLO definitions including target percentages, time windows, and current compliance status for monitor-based or metric-based objectives. List Service Level Objectives
mute_monitor
Interacts with the alerting boundary to set temporary silence periods, optionally with an automatic expiration timestamp. Mute a monitor
query_metrics
Resolves time-series data within the specified UNIX timestamp range. Returns metric points, scope tags, and unit metadata for infrastructure and application monitoring. Query time-series metrics
search_logs
Interacts with the log storage boundary to retrieve entries matching the query syntax, including timestamps, status levels, and structured attributes. Search application logs
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.
"Show me the CPU usage for 'web-server' over the last 30 minutes"
"Find logs with '500 Internal Server Error' from the last hour"
"Are there any active monitors in 'Alert' state?"
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.
createMCPClient is not a function
npm install @ai-sdk/mcpDatadog + Vercel AI SDK FAQ
Common questions about integrating Datadog 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 Datadog 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 Datadog to Vercel AI SDK
Get your token, paste the configuration, and start using 11 tools in under 2 minutes. No API key management needed.