How to Use the Alchemer MCP in Mastra AI

Q: How do I set up human approval for Alchemer campaigns in Mastra AI?

You configure the agent with requireToolApproval enabled for the listsurveycampaigns tool. This forces the Mastra AI workflow to pause and wait for a manual signature before the agent can inspect or modify your active outreach.

Build reliable, self-healing survey workflows using Alchemer and Mastra AI.

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Connect Alchemer MCP to Mastra AI

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Setup Alchemer with Mastra AI

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Automate feedback loops with Mastra workflows

The `list_survey_responses` tool acts as the primary data trigger for your Mastra AI MCP pipelines. When your agent detects a new Alchemer survey submission, it kicks off a multi-step workflow to classify the sentiment and route it to the right department. Mastra handles any temporary Alchemer API hiccups by automatically retrying the step with exponential backoff. If a network blip occurs while pulling Alchemer submissions, your Mastra workflow pauses and retries without dropping the customer's feedback.

Run human-in-the-loop campaigns using this MCP Server

The `list_survey_campaigns` tool lets your Mastra AI agent monitor active Alchemer distribution channels and flag underperforming outreach. By using Mastra's tool approval feature, the agent can draft a new Alchemer campaign but wait for a human teammate to click approve before executing. This prevents autonomous Mastra agents from spamming your Alchemer contact lists. You get the speed of automation combined with manual control over your customer-facing feedback communication.

Conditional survey routing based on customer usage

The `get_account_usage` tool provides the necessary metrics for your Mastra AI agent to make Alchemer routing decisions. For example, if your Alchemer account limit is near capacity, your Mastra workflow can branch to pause active campaigns or alert your team on Slack. Writing these conditional branches is straightforward in Mastra's TypeScript framework. You can programmatically handle Alchemer plan limits before your surveys stop accepting feedback.

Setup guide

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

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

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

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Common questions about Alchemer MCP in Mastra AI

You initialize the MCP client using the Vinkius URL and call `mcpClient.listTools()`. Then, simply spread those tools directly into your Mastra AI agent configuration to give it access to `list_surveys` and other survey actions.

Yes, Mastra's workflow engine has built-in retry logic with exponential backoff. If the `get_response_details` tool hits an API rate limit, the system backs off and retries the request automatically.

You configure the agent with `requireToolApproval` enabled for the `list_survey_campaigns` tool. This forces the Mastra AI workflow to pause and wait for a manual signature before the agent can inspect or modify your active outreach.

Yes, Mastra AI automatically detects and supports both SSE and Streamable HTTP transports. You only need to pass the Vinkius endpoint URL to connect your agent to the survey tools.

All interactions with the Alchemer MCP Server run inside a zero-trust, ephemeral sandbox environment on Vinkius. Your customer contact details and email directories are never written to persistent disks, keeping your private data safe.

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