Zenloop MCP Server for Mastra AI 8 tools — connect in under 2 minutes
Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Zenloop 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: {
"zenloop": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "Zenloop Agent",
instructions:
"You help users interact with Zenloop " +
"using 8 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with Zenloop?"
);
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 Zenloop MCP Server
Connect your Zenloop account to any AI agent to streamline your Net Promoter System (NPS) and customer feedback management. This MCP server enables your agent to interact with surveys, responses (answers), and account metadata directly from natural language.
Mastra's agent abstraction provides a clean separation between LLM logic and Zenloop tool infrastructure. Connect 8 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 Oversight — List all your active and historical surveys and retrieve their detailed summaries
- Feedback Extraction — List customer answers and responses for any survey, filtered by date range
- Response Generation — Programmatically create new survey answers across Link, Email, and Website channels
- Performance Monitoring — Access NPS scores and comments to track customer sentiment in real-time
- Account Visibility — Retrieve high-level account configuration and metadata for your Zenloop project
The Zenloop MCP Server exposes 8 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 Zenloop to Mastra AI via MCP
Follow these steps to integrate the Zenloop 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 8 tools from Zenloop via MCP
Why Use Mastra AI with the Zenloop MCP Server
Mastra AI provides unique advantages when paired with Zenloop through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add Zenloop 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 Zenloop 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
Zenloop + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the Zenloop MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query Zenloop, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed Zenloop as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query Zenloop on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using Zenloop tools alongside other MCP servers
Zenloop MCP Tools for Mastra AI (8)
These 8 tools become available when you connect Zenloop to Mastra AI via MCP:
create_email_answer
Create a new survey response for an Email Embed channel
create_embed_answer
Create a new survey response for a Website Embed channel
create_link_answer
Create a new survey response for a Link channel
create_overlay_answer
Create a new survey response for a Website Overlay channel
get_account_details
Get Zenloop account information
get_survey_details
Get details for a specific survey
list_survey_answers
Can be filtered by date. List answers (responses) for a survey
list_surveys
List all configured surveys
Example Prompts for Zenloop in Mastra AI
Ready-to-use prompts you can give your Mastra AI agent to start working with Zenloop immediately.
"List all active surveys in my Zenloop account."
"Show me customer responses for survey ID 'abc123xyz' from last week."
"Submit a Link response for survey 'abc123' with score 10 and comment 'Amazing experience!'."
Troubleshooting Zenloop MCP Server with Mastra AI
Common issues when connecting Zenloop to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpZenloop + Mastra AI FAQ
Common questions about integrating Zenloop 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 Zenloop 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.
AI-first code editor with integrated LLM-powered coding assistance.
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 Zenloop to Mastra AI
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.