How to Use the Formbricks MCP in Mastra AI

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

Initialize the MCP client using the Vinkius URL, call mcpClient.listTools(), and spread those Formbricks tools directly into your Mastra AI Agent configuration. The agent can then immediately call Formbricks tools like listsurveys.

Q: Does Mastra AI support human approval before deleting a Formbricks survey?

Yes, you can configure requireToolApproval in Mastra AI. When the agent attempts to run deletesurvey through the MCP Server, the workflow pauses until a human approves the action.

Q: How do retries work when retrieving Formbricks survey responses in Mastra AI?

If getresponse fails due to network issues, Mastra AI's built-in workflow engine automatically retries the Formbricks call with exponential backoff before failing the step.

Build resilient, automated Formbricks feedback workflows using Mastra AI agents.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Formbricks MCP to Mastra AI

Create your Vinkius account to connect Formbricks 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.

GDPR Free for Subscribers

Setup Formbricks with Mastra AI

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Automate Formbricks feedback loops with Mastra AI and MCP

Your agent manages feedback loops by executing `create_survey` to launch targeted Formbricks feedback forms within your Mastra AI workflow. When a workflow triggers, Mastra AI monitors replies using `list_responses` and processes them through conditional branches. If the Formbricks API fails or hits a limit, Mastra's built-in retry engine backs off and tries `create_survey` again automatically. Once the campaign finishes, the Mastra agent runs `delete_survey` to clean up your Formbricks workspace.

Branch Mastra AI workflows based on Formbricks tags

The agent calls `get_contact_details` and `list_tags` to route customer support issues dynamically using live Formbricks CRM data. Based on these Formbricks tags, the Mastra AI workflow branches to handle different customer tiers. High-priority contacts get a custom Formbricks questionnaire via `update_survey` triggered by Mastra AI, while standard contacts receive automated follow-ups. This keeps your Mastra AI automated loops highly relevant to active Formbricks users.

Run automated Formbricks environment cleanups in Mastra AI

Your agent runs `list_surveys` to scan for inactive campaigns and keep your Formbricks environment tidy inside Mastra AI workflows. Filtering out old campaigns happens automatically using `get_survey` metadata. Your workflow then executes `delete_survey` on expired items while updating active ones with `update_survey`. This keeps your Formbricks workspace organized without manual database cleanup scripts.

Setup guide

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

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

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

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Formbricks. 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.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect Formbricks now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Formbricks MCP in Mastra AI

Initialize the MCP client using the Vinkius URL, call `mcpClient.listTools()`, and spread those Formbricks tools directly into your Mastra AI Agent configuration. The agent can then immediately call Formbricks tools like `list_surveys`.

Yes, Mastra AI workflows can use conditional logic to trigger `update_survey` based on incoming data from other steps in your pipeline. This lets you adapt active Formbricks surveys automatically.

Yes, you can configure `requireToolApproval` in Mastra AI. When the agent attempts to run `delete_survey` through the MCP Server, the workflow pauses until a human approves the action.

If `get_response` fails due to network issues, Mastra AI's built-in workflow engine automatically retries the Formbricks call with exponential backoff before failing the step.

Every tool execution runs within an isolated, ephemeral container. Your Formbricks survey responses and organization tags are processed in-memory and destroyed the moment the tool execution completes.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript