How to Use the Typeform MCP in Mastra AI

Q: How can I check form details with Typeform using Mastra AI?

Your agent calls getformdetails to pull the full question structure. This metadata is vital for Mastra AI's built-in workflow engine to guide complex branching logic.

Q: Does Mastra AI support listing all Typeform workspaces?

Yep, listworkspaces handles that. It shows you every collection of forms in your account. This lets the workflow manage and deploy operations across different organizational boundaries.

Q: If I need to list all forms for a job with Typeform and Mastra AI?

You use the listforms tool to get all available form IDs. This gives your agent a clear manifest of what needs to be included in the deployment scope.

Q: How does Mastra AI handle Typeform webhook setup?

The createwebhook tool lets you define new webhooks, requiring both a unique tag and a destination URL. This ensures your workflow knows exactly where to send the real-time alert.

Build complex failure-proof workflows with Mastra AI and Typeform data.

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Connect Typeform MCP to Mastra AI

Create your Vinkius account to connect Typeform to Mastra AI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Typeform with Mastra AI

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Retrieve Form Structure in Mastra AI

Use the `get_form_details` tool to understand a form's questions before running any workflow. This gives your agent all the necessary structure info. The ability to read this metadata means you can build conditional logic: if Question 3 is 'Yes,' then proceed down Path B.

Monitor Form Submissions with Mastra AI

The `list_responses` tool pulls submitted data, letting your workflow engine react to new inputs. You can filter these responses by date or completion status. This is perfect for workflows that need to process results in batches or only after a specific time window.

Map Form Webhooks with Mastra AI

When you use `list_webhooks`, your agent sees all the existing real-time submission alerts. This allows the workflow to know exactly when and where to listen for new data. It prevents race conditions by confirming the webhook setup before triggering a complex, multi-step process.

Setup guide

Set up Typeform MCP in Mastra AI

Prerequisites

Node.js 18+ and a TypeScript project
@mastra/mcp + @mastra/core packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run npm install @mastra/mcp @mastra/core plus your preferred model provider (e.g. @ai-sdk/openai).
2

Configure the MCPClient
Create an MCPClient with your Vinkius endpoint as a URL object. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Discover and inject tools
Call mcpClient.listTools() and spread the result into your agent's tools object. All Typeform tools become native Mastra tools.
4

Run with any model
Swap openai("gpt-4o") for any AI SDK-compatible provider. Call agent.generate() and the agent routes tool calls through MCP automatically.

agent.ts

import { MCPClient } from "@mastra/mcp";
import { Agent } from "@mastra/core/agent";
import { openai } from "@ai-sdk/openai";

const mcpClient = new MCPClient({
  id: "typeform-alternative-mcp-client",
  servers: {
    "typeform-alternative-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

const agent = new Agent({
  name: "Typeform Agent",
  model: openai("gpt-4o"),
  instructions: "You have access to Typeform tools.",
  tools: {
    ...(await mcpClient.listTools()),
  },
});

const result = await agent.generate(
  "List recent Typeform transactions"
);
console.log(result.text);

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Common questions about Typeform MCP in Mastra AI

Your agent calls `get_form_details` to pull the full question structure. This metadata is vital for Mastra AI's built-in workflow engine to guide complex branching logic.

Yep, `list_workspaces` handles that. It shows you every collection of forms in your account. This lets the workflow manage and deploy operations across different organizational boundaries.

The server touches collected response data, which includes completion status and user answers. The Mastra AI agent handles this sensitive type of submitted information during its workflow execution.

You use the `list_forms` tool to get all available form IDs. This gives your agent a clear manifest of what needs to be included in the deployment scope.

The `create_webhook` tool lets you define new webhooks, requiring both a unique tag and a destination URL. This ensures your workflow knows exactly where to send the real-time alert.

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