Trigger.dev MCP Server for Vercel AI SDK 8 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Trigger.dev 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 Trigger.dev, 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 Trigger.dev MCP Server
Connect Trigger.dev to your AI agent and manage your background job infrastructure conversationally.
The Vercel AI SDK gives every Trigger.dev tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 8 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
- Job Monitoring — List active, completed, and failed task runs with execution times, statuses, and error details.
- Project Overview — Query projects, environments, and their associated job definitions.
- Run Inspection — Drill into individual runs to view payloads, outputs, logs, and retry history.
- Environment Management — Switch between dev, staging, and production environments to inspect runs across your deployment pipeline.
The Trigger.dev MCP Server exposes 8 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 Trigger.dev to Vercel AI SDK via MCP
Follow these steps to integrate the Trigger.dev 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 8 tools from Trigger.dev and passes them to the LLM
Why Use Vercel AI SDK with the Trigger.dev MCP Server
Vercel AI SDK provides unique advantages when paired with Trigger.dev 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 Trigger.dev integration everywhere
Built-in streaming UI primitives let you display Trigger.dev 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
Trigger.dev + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Trigger.dev MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Trigger.dev in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Trigger.dev tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Trigger.dev capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Trigger.dev through natural language queries
Trigger.dev MCP Tools for Vercel AI SDK (8)
These 8 tools become available when you connect Trigger.dev to Vercel AI SDK via MCP:
cancel_run
Cancel a running task
get_run
Get run details
list_environments
List deployment environments
list_projects
List all projects
list_runs
List task runs
list_schedules
List cron schedules
replay_run
Replay a completed task
trigger_task
Trigger a background task
Example Prompts for Trigger.dev in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Trigger.dev immediately.
"Are there any failed background jobs in production?"
"Show me the details of the last 'process-webhook' run."
"How many jobs ran successfully today?"
Troubleshooting Trigger.dev MCP Server with Vercel AI SDK
Common issues when connecting Trigger.dev to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpTrigger.dev + Vercel AI SDK FAQ
Common questions about integrating Trigger.dev 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 Trigger.dev 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 Trigger.dev to Vercel AI SDK
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.