How to Use the AidaForm MCP in Mastra AI

Q: How do I add AidaForm tools to a Mastra AI agent?

Install @mastra/mcp and instantiate the client with the Vinkius URL. You can then list the tools from this MCP Server using mcpClient.listTools() and spread them directly into your Mastra agent's tool configuration array.

Q: Can Mastra AI automatically delete spam responses in AidaForm?

Yes. You can design a workflow where the agent calls listresponses to fetch new entries, analyzes them for spam, and uses deleteresponse to instantly remove bad submissions.

Build resilient, self-healing data workflows with Mastra AI and the AidaForm MCP Server.

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Connect AidaForm MCP to Mastra AI

Create your Vinkius account to connect AidaForm 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 AidaForm with Mastra AI

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Automated response exports with Mastra AI

The `export_responses` tool acts as the starting point for complex data extraction pipelines in your Mastra workflows. Your agent can trigger exports on a schedule, pull the raw data, and process it through custom TypeScript steps. If a network glitch occurs during export, Mastra's built-in retry engine handles it with exponential backoff. You don't have to write custom error-handling code to ensure your form data arrives safely.

Multi-step form modification pipelines

The `update_form` tool allows your agent to adjust active live forms based on real-time feedback loops. For example, if form analytics show a high drop-off rate, your workflow can automatically edit the form fields to improve conversions. Using `get_form_analytics` alongside `list_forms`, the agent evaluates performance metrics and makes structural changes. This creates a closed-loop system where your forms optimize themselves based on actual user behavior.

Human-in-the-loop workspace management

The `list_workspaces` tool gives your Mastra agents a complete view of your organizational structure. Before your agent creates a new form using `create_form` or deletes an old one with `delete_form`, you can require manual approval. Mastra's workflow engine pauses execution and alerts an admin whenever these destructive tools are triggered. Once approved, the agent completes the task and checks the system status using `check_aidaform_status` over MCP.

Setup guide

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

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

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

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by AidaForm. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about AidaForm MCP in Mastra AI

Install `@mastra/mcp` and instantiate the client with the Vinkius URL. You can then list the tools from this MCP Server using `mcpClient.listTools()` and spread them directly into your Mastra agent's tool configuration array.

Yes. You can design a workflow where the agent calls `list_responses` to fetch new entries, analyzes them for spam, and uses `delete_response` to instantly remove bad submissions.

Mastra handles API rate limits or temporary outages automatically. It uses built-in retries with exponential backoff, ensuring calls like `get_response` don't break your entire background worker when external services are slow.

Yes, Mastra AI automatically detects and supports both Streamable HTTP and SSE transports. This ensures a stable connection to the MCP endpoint without manually writing transport adapters.

Your form submissions and workspace configurations are processed entirely in memory within Vinkius's ephemeral V8 sandboxes. No data is cached or stored on the platform, keeping your sensitive customer responses secure.

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