How to Use the Typeform MCP in Mastra AI

Q: How does Mastra AI handle complex Typeform data retrieval?

The framework handles it gracefully. If getformresponses fails, the workflow automatically retries the fetch using exponential backoff until the submission data is retrieved.

Q: What data type does this MCP Server touch for Mastra AI?

The server touches form submissions/responses. The getformresponses tool retrieves raw user input and completion records based on a provided form ID.

Q: Can I list all forms with Typeform and Mastra AI?

Absolutely. Use the listforms tool within your workflow. It gives you a comprehensive directory of every form, allowing subsequent steps to target them reliably.

Q: What if my workflow needs to know about all available Typeform themes?

Run listformthemes. This ensures that any reporting or rendering step in your Mastra AI pipeline uses a theme ID that is actually supported by the platform.

Q: How can I check form metadata using Typeform and Mastra AI?

Invoke getformdetails. This tool pulls the structure, which lets your agent understand exactly what fields are on the form, regardless of its current state.

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Setup Typeform with Mastra AI

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Managing form submissions via MCP Server

`get_form_responses` pulls submitted data for a specific form ID. Because this is handled by the Mastra AI framework, your complex workflow can automatically retry fetching these responses if the initial connection fails. It also lets you check `get_form_details`, which ensures that before running any action on the form's structure, the workflow validates all necessary metadata.

Identifying Typeform assets with Mastra AI

`list_forms` provides a complete list of every existing form in your account. Your agent uses this to determine which forms need attention before starting a process. Need an overview of the entire setup? Use `list_workspaces`. This helps your multi-step workflow manage context across different organizational boundaries.

Analyzing Typeform performance with Mastra AI

`get_form_insights` gathers analytics and completion metrics for a specific form. If the initial data retrieval fails, the Mastra AI system automatically backs off and retries the call until it succeeds. You can complement this by running `list_form_themes`, letting your workflow check theme availability before rendering any final report.

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-mcp-client",
  servers: {
    "typeform-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

The framework handles it gracefully. If `get_form_responses` fails, the workflow automatically retries the fetch using exponential backoff until the submission data is retrieved.

The server touches form submissions/responses. The `get_form_responses` tool retrieves raw user input and completion records based on a provided form ID.

Absolutely. Use the `list_forms` tool within your workflow. It gives you a comprehensive directory of every form, allowing subsequent steps to target them reliably.

Run `list_form_themes`. This ensures that any reporting or rendering step in your Mastra AI pipeline uses a theme ID that is actually supported by the platform.

Invoke `get_form_details`. This tool pulls the structure, which lets your agent understand exactly what fields are on the form, regardless of its current state.

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