How to Use the Typebot MCP in Mastra AI

Q: How does Mastra AI handle Typebot deployment?

You use publishtypebot on the MCP Server. The agent can call this tool to ensure that changes to a bot are deployed correctly before any workflow tries to interact with it.

Q: Can Mastra AI list all Typebot workspaces?

Yes, use listworkspaces. This action provides the agent with a complete map of every available workspace where bots can live and operate.

Q: If I need to review bot logic, which tool should I use for Typebot and Mastra AI?

The gettypebotdetails function is what you want. It gives your agent all the necessary information needed to understand the structure and logic of a specific chatbot.

Q: What is the scope of Typebot management using Mastra AI?

Your agent can manage everything from listing all bots (listtypebots) to executing a full cycle—running a test chat, analyzing results, and publishing changes.

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Connect Typebot MCP to Mastra AI

Create your Vinkius account to connect Typebot 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 Typebot with Mastra AI

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Claude

Perplexity

Execute Chat Simulations

Use `start_chat_session` to test bot interactions. Your agent can run through a full conversational flow, simulating what a real user would do. This is perfect for testing complex decision points before deployment.

Manage Bot Configurations

The agent needs context. It can use `list_folders` to see how Typebot groups related bots in a workspace. You can also call `delete_typebot` if an old, unused bot needs to be removed entirely from the system.

Analyze Collected Leads

For lead capture, use `list_typebot_results`. This tool collects all user responses for a specific Typebot instance. Your agent can then process this data—say, checking if a required field was filled out—and decide the next workflow step. This gives you reliable access to structured user response data needed for your advanced workflows.

Setup guide

Set up Typebot 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 Typebot 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: "typebot-mcp-client",
  servers: {
    "typebot-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

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

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

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Common questions about Typebot MCP in Mastra AI

You use `publish_typebot` on the MCP Server. The agent can call this tool to ensure that changes to a bot are deployed correctly before any workflow tries to interact with it.

Yes, use `list_workspaces`. This action provides the agent with a complete map of every available workspace where bots can live and operate.

The `get_typebot_details` function is what you want. It gives your agent all the necessary information needed to understand the structure and logic of a specific chatbot.

It handles bot metadata (details, folders), workflow state (chat sessions), and collected user responses. All these are exposed to your agent's tools.

Your agent can manage everything from listing all bots (`list_typebots`) to executing a full cycle—running a test chat, analyzing results, and publishing changes.

Use it with your favorite AI tools

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