Temporal MCP Server for Vercel AI SDK 7 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Temporal through the Vinkius and every tool is available as a typed function — ready for React Server Components, API routes, or any Node.js backend.
ASK AI ABOUT THIS MCP SERVER
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 Temporal, 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 Temporal MCP Server
Connect your Temporal Cloud (or self-hosted) cluster to any AI agent and bring the power of durable execution directly into your IDE or chat via natural conversation.
The Vercel AI SDK gives every Temporal tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 7 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
- Workflows & Executions — List, filter, and inspect active, running, or completed workflow executions
- Workflow History — Retrieve the complete sequence of events, activities, and signals to debug failures
- Visibility Search — Run complex SQL-like queries using Temporal Visibility syntax to find specific runs
- Namespace Details — Check retention periods, configurations, and metadata of your operational namespace
- Schedules & Cron — Browse all recurring workflows and predict the next execution schedules
The Temporal MCP Server exposes 7 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 Temporal to Vercel AI SDK via MCP
Follow these steps to integrate the Temporal 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 7 tools from Temporal and passes them to the LLM
Why Use Vercel AI SDK with the Temporal MCP Server
Vercel AI SDK provides unique advantages when paired with Temporal 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 Temporal integration everywhere
Built-in streaming UI primitives let you display Temporal 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
Temporal + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Temporal MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Temporal in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Temporal tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Temporal capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Temporal through natural language queries
Temporal MCP Tools for Vercel AI SDK (7)
These 7 tools become available when you connect Temporal to Vercel AI SDK via MCP:
get_namespace_details
Retrieves information about the current namespace
get_workflow_details
Retrieves details for a specific workflow execution
get_workflow_history
Retrieves the event history for a workflow execution
list_schedules
Lists all workflow schedules
list_search_attributes
Lists custom search attributes available in the namespace
list_workflows
Returns workflow IDs, run IDs, and statuses. Lists all workflow executions in the configured namespace
search_workflows
g., WorkflowType="MyType" AND Status="Running"). Search workflows using Temporal Visibility Query syntax
Example Prompts for Temporal in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Temporal immediately.
"Show me the last 5 workflows that failed or panicked in the default namespace."
"Explain the exact execution history for workflow 'GenerateInvoice-102'."
"List all active schedules and tell me when the database backup is due."
Troubleshooting Temporal MCP Server with Vercel AI SDK
Common issues when connecting Temporal to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpTemporal + Vercel AI SDK FAQ
Common questions about integrating Temporal 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 Temporal 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 Temporal to Vercel AI SDK
Get your token, paste the configuration, and start using 7 tools in under 2 minutes. No API key management needed.