Alchemer MCP Server for Mastra AI 10 tools — connect in under 2 minutes
Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Alchemer through Vinkius and Mastra agents discover all tools automatically. type-safe, streaming-ready, and deployable anywhere Node.js runs.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import { Agent } from "@mastra/core/agent";
import { createMCPClient } from "@mastra/mcp";
import { openai } from "@ai-sdk/openai";
async function main() {
// Your Vinkius token. get it at cloud.vinkius.com
const mcpClient = await createMCPClient({
servers: {
"alchemer": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "Alchemer Agent",
instructions:
"You help users interact with Alchemer " +
"using 10 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with Alchemer?"
);
console.log(result.text);
}
main();
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About Alchemer MCP Server
Connect your Alchemer (formerly SurveyGizmo) account to your AI agent to unlock professional survey management and customer feedback orchestration. From auditing survey structures and questions to retrieving real-time responses and generating granular reports, your agent handles your feedback lifecycle through natural conversation.
Mastra's agent abstraction provides a clean separation between LLM logic and Alchemer tool infrastructure. Connect 10 tools through Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution. deployable to any Node.js host in one command.
What you can do
- Survey Orchestration — List and retrieve details for surveys, including their current status and technical metadata
- Question Management — List and audit survey questions to ensure your data collection is precisely configured
- Response Auditing — Retrieve and analyze individual or aggregated survey responses directly from chat
- Reporting & Campaigns — List and manage survey reports and campaigns to monitor your data distribution and analysis
- Contact Oversight — List and manage contact lists used for targeted survey distribution
The Alchemer MCP Server exposes 10 tools through the Vinkius. Connect it to Mastra AI in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect Alchemer to Mastra AI via MCP
Follow these steps to integrate the Alchemer MCP Server with Mastra AI.
Install dependencies
Run npm install @mastra/core @mastra/mcp @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.ts and run with npx tsx agent.ts
Explore tools
Mastra discovers 10 tools from Alchemer via MCP
Why Use Mastra AI with the Alchemer MCP Server
Mastra AI provides unique advantages when paired with Alchemer through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add Alchemer without touching business code
Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation
TypeScript-native: full type inference for every Alchemer tool response with IDE autocomplete and compile-time checks
One-command deployment to any Node.js host. Vercel, Railway, Fly.io, or your own infrastructure
Alchemer + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the Alchemer MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query Alchemer, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed Alchemer as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query Alchemer on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using Alchemer tools alongside other MCP servers
Alchemer MCP Tools for Mastra AI (10)
These 10 tools become available when you connect Alchemer to Mastra AI via MCP:
get_account_usage
Check account status
get_question_details
Get question metadata
get_response_details
Get response data
get_survey_details
Get survey metadata
list_contact_lists
List survey contacts
list_survey_campaigns
List distribution campaigns
list_survey_questions
List survey questions
list_survey_reports
List survey reports
list_survey_responses
List survey submissions
list_surveys
List account surveys
Example Prompts for Alchemer in Mastra AI
Ready-to-use prompts you can give your Mastra AI agent to start working with Alchemer immediately.
"List all active surveys in my Alchemer account."
"Show me the last 5 responses for survey ID 1234567."
"List all questions in the 'Customer Satisfaction' survey."
Troubleshooting Alchemer MCP Server with Mastra AI
Common issues when connecting Alchemer to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpAlchemer + Mastra AI FAQ
Common questions about integrating Alchemer MCP Server with Mastra AI.
How does Mastra AI connect to MCP servers?
MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.Can Mastra agents use tools from multiple servers?
Does Mastra support workflow orchestration?
Connect Alchemer with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
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GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Alchemer to Mastra AI
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.