Refiner MCP Server for Mastra AIGive Mastra AI instant access to 8 tools to Check Refiner Status, Get Refiner Contact, Identify Refiner User, and more
Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Refiner through Vinkius and Mastra agents discover all tools automatically. type-safe, streaming-ready, and deployable anywhere Node.js runs.
Ask AI about this App Connector for Mastra AI
The Refiner app connector for Mastra AI is a standout in the Productivity category — giving your AI agent 8 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
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: {
"refiner": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "Refiner Agent",
instructions:
"You help users interact with Refiner " +
"using 8 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with Refiner?"
);
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 Refiner MCP Server
Connect your Refiner customer feedback account to any AI agent and simplify how you collect in-product insights, manage user segments, and monitor survey performance through natural conversation.
Mastra's agent abstraction provides a clean separation between LLM logic and Refiner 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 in-app, email, and link surveys and retrieve detailed status and response counts.
- Response Analysis — Query survey submissions with technical filters like UUIDs and date ranges to identify trends.
- Identity & Targeting — Identify users and upsert technical traits to ensure surveys reach the right audience.
- Event-Driven Feedback — Track high-fidelity user actions programmatically to trigger perfectly timed micro-surveys via AI.
- Segment Intelligence — List and query defined user segments to understand your audience distribution.
- Operational Monitoring — Check API health and verify account configurations directly from the agent.
The Refiner 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.
All 8 Refiner tools available for Mastra AI
When Mastra AI connects to Refiner through Vinkius, your AI agent gets direct access to every tool listed below — spanning customer-feedback, nps-surveys, user-insights, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.
Check API Status
Get contact details
Identify or update user
List product contacts
List survey responses
List user segments
List feedback surveys
Track user event
Connect Refiner to Mastra AI via MCP
Follow these steps to wire Refiner into Mastra AI. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install dependencies
npm install @mastra/core @mastra/mcp @ai-sdk/openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the agent
agent.ts and run with npx tsx agent.tsExplore tools
Why Use Mastra AI with the Refiner MCP Server
Mastra AI provides unique advantages when paired with Refiner through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add Refiner 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 Refiner 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
Refiner + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the Refiner MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query Refiner, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed Refiner as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query Refiner on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using Refiner tools alongside other MCP servers
Example Prompts for Refiner in Mastra AI
Ready-to-use prompts you can give your Mastra AI agent to start working with Refiner immediately.
"List all my feedback surveys in Refiner."
"Show me the last 5 responses for the 'NPS - Post Checkout' survey."
"Track event 'Clicked Upgrade' for user 'mike@example.com'."
Troubleshooting Refiner MCP Server with Mastra AI
Common issues when connecting Refiner to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpRefiner + Mastra AI FAQ
Common questions about integrating Refiner 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.