How to Use the Mokaform MCP in Mastra AI

Build complex survey workflows in Mastra AI. Automate logic chains that handle form data from capture to final processing.

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Connect Mokaform MCP to Mastra AI

Create your Vinkius account to connect Mokaform 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 Mokaform with Mastra AI

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Automated logic with Mastra AI

Use `create_form` and `update_form` to build branching logic that your agents execute. If a user answers a specific way, the agent adjusts the next question automatically. This keeps your workflows tight. You aren't just saving data; you're building an autonomous conversation that requires zero manual oversight.

Conditional response management

Deploy `delete_response` and `list_responses` within your agents to clean up bad data or trigger follow-up actions. It’s perfect for multi-step pipelines where bad input needs immediate purging. Your agent monitors the queue. If it finds an invalid entry, it wipes it and asks the user to try again, keeping your database clean.

Workspace orchestration

Call `list_workspaces` to organize your forms across different projects. Your Mastra AI agents can swap between contexts to manage different survey campaigns. It handles the heavy lifting of context switching. Your agents always know which workspace they are operating in, preventing data cross-contamination.

Setup guide

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

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

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

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Common questions about Mokaform MCP in Mastra AI

You register the server in your agent configuration. Mastra AI detects the tools automatically, letting your agents call them as part of any workflow.

Absolutely. You can write agent logic that checks previous answers and calls `update_form` to change the survey path on the fly.

Use the built-in retry mechanisms. If a tool call fails, your agent can catch the exception and attempt the operation again with backoff.

Every request is sent over a secure, authenticated channel. Your form responses are protected from the moment they leave the server.

Yes. You can require tool approval for sensitive operations like deleting responses, giving you final say before the agent acts.

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