Typeform MCP Server for Vercel AI SDK 6 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Typeform 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 Typeform, 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 Typeform MCP Server
Bring your advanced Typeform dynamic responses directly to an autonomous LLM handler. Circumvent heavy web panels and fetch specific targeted questions arrays easily from external forms or parse unstructured textual feedback right inside your AI context globally effortlessly.
The Vercel AI SDK gives every Typeform tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 6 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
- Workspace Search — Browse through native environments listing out valid form ID references natively to hook onto campaigns successfully across different marketing vectors seamlessly aligned to goals immediately
- Response Extraction — Absorb thousands of answers programmatically slicing and pulling them into memory securely without exposing them publicly avoiding manual CSV unreadable dumps constantly cluttering folders
The Typeform MCP Server exposes 6 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 Typeform to Vercel AI SDK via MCP
Follow these steps to integrate the Typeform 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 6 tools from Typeform and passes them to the LLM
Why Use Vercel AI SDK with the Typeform MCP Server
Vercel AI SDK provides unique advantages when paired with Typeform 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 Typeform integration everywhere
Built-in streaming UI primitives let you display Typeform 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
Typeform + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Typeform MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Typeform in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Typeform tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Typeform capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Typeform through natural language queries
Typeform MCP Tools for Vercel AI SDK (6)
These 6 tools become available when you connect Typeform to Vercel AI SDK via MCP:
get_form_details
Retrieves structure and metadata for a specific Typeform form
get_form_insights
Retrieves analytics and completion insights for a specific form
get_form_responses
Provide the form ID. Retrieves submissions/responses for a specific form
list_form_themes
Lists available visual themes for forms
list_forms
Lists all forms in the Typeform account
list_workspaces
Lists all Typeform workspaces
Example Prompts for Typeform in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Typeform immediately.
"List all forms strictly tied to our marketing department running today."
"Fetch the raw responses corresponding precisely to Form ID cc31 generated previously."
"Get the questions mapping block describing Form XYZ natively inside our array structurally without reading real data yet."
Troubleshooting Typeform MCP Server with Vercel AI SDK
Common issues when connecting Typeform to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpTypeform + Vercel AI SDK FAQ
Common questions about integrating Typeform 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 Typeform 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 Typeform to Vercel AI SDK
Get your token, paste the configuration, and start using 6 tools in under 2 minutes. No API key management needed.