Refiner MCP server for AI agents and assistants

Securely connect your AI agents and chatbots (Claude, ChatGPT, Cursor, etc) with Refiner MCP or direct API to launch surveys, analyze feedback, segment users, and automate follow-up actions through natural language.

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Api Key

Refiner is a customer feedback and survey platform for collecting actionable user insights. Easily analyze responses and boost engagement with targeted surveys.

10 Tools

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Type what you want done — sign in and watch it run live in the Tool Router playground.

TOOL ROUTER PLAYGROUND
Refiner
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TOOLS

Supported Tools

Every Refiner action and event your agent gets out of the box.

Delete Contact

Deletes a specific contact identified by user ID or email.

Get Account Info

Retrieves Refiner account information including the subscription plan, usage counters, available limits, metric update timestamps, and per-environment usage statistics.

Get Contact

Retrieve detailed information about a specific contact using their ID, email, or UUID.

Get Contacts

Tool to retrieve a list of contacts from your Refiner account.

Get Forms

Tool to retrieve a list of forms (surveys) from your Refiner account with optional filtering and pagination.

Get Reporting

Tool to retrieve aggregated reporting data for surveys including metrics and analytics.

Get Survey Responses

Retrieves a page of survey responses with optional filtering and pagination.

Get Segments

Tool to retrieve a list of user segments from your Refiner account.

Track Event

Records a named event for a user identified by user ID or email.

Update Contact

Tool to create or update a contact's attributes or account.

SETUP GUIDE

Connect Refiner MCP Tool with your Agent

1

Install Composio

typescript
npm install @composio/core ai @ai-sdk/mcp @ai-sdk/openai
Install the Composio SDK and your agent framework
2

Create a session with MCP enabled

typescript
import { Composio } from "@composio/core";

const composio = new Composio();
const { mcp } = await composio.create("your-user-id", {
  toolkits: ["refiner"],
  mcp: true,
});
Create a session scoped to Refiner and read its MCP URL and headers
3

Connect your agent to the MCP server

typescript
import { createMCPClient } from "@ai-sdk/mcp";
import { openai } from "@ai-sdk/openai";
import { generateText, stepCountIs } from "ai";

const client = await createMCPClient({
  transport: { type: "http", url: mcp.url, headers: mcp.headers },
});

const { text } = await generateText({
  model: openai("gpt-5.6-sol"),
  tools: await client.tools(),
  prompt: "List all active surveys and summarize response rates.",
  stopWhen: stepCountIs(10),
});

console.log(text);
await client.close();
Pass the session's MCP URL and headers to your agent and run a Refiner request
SETUP GUIDE

Connect Refiner API Tool with your Agent

1

Install Composio

typescript
npm install @composio/core @composio/openai openai
Install the Composio SDK, the OpenAI provider, and the OpenAI SDK
2

Create a Composio session

typescript
import OpenAI from "openai";
import { Composio } from "@composio/core";
import { OpenAIResponsesProvider } from "@composio/openai";

const composio = new Composio({ provider: new OpenAIResponsesProvider() });
const client = new OpenAI();

const session = await composio.create("your-user-id", { toolkits: ["refiner"] });
const tools = await session.tools();
Initialize Composio with the OpenAI Responses provider and create a session scoped to Refiner
3

Run Refiner tools with your agent

typescript
let response = await client.responses.create({
  model: "gpt-5.6-sol",
  tools,
  input: [{ role: "user", content: "List all active surveys and summarize response rates." }],
});

while (response.output.some((o) => o.type === "function_call")) {
  const outputs = await composio.provider.handleToolCalls(session, response.output);
  response = await client.responses.create({
    model: "gpt-5.6-sol",
    tools,
    previous_response_id: response.id,
    input: outputs,
  });
}

console.log(response.output_text);
Send a request, execute the Refiner tool calls through the session, and print the final answer

Why Use Composio?

AI Native Refiner Integration

  • Supports both Refiner MCP and direct API based integrations
  • Structured, LLM-friendly schemas for reliable tool execution
  • Rich coverage for reading, writing, and querying your Refiner data

Managed Auth

  • Built-in API key management with secure vaulting
  • Central place to manage, scope, and revoke Refiner access
  • Per user and per environment credentials instead of hard-coded keys

Agent Optimized Design

  • Tools are tuned using real error and success rates to improve reliability over time
  • Comprehensive execution logs so you always know what ran, when, and on whose behalf

Enterprise Grade Security

  • Fine-grained RBAC so you control which agents and users can access Refiner
  • Scoped, least privilege access to Refiner resources
  • Full audit trail of agent actions to support review and compliance

Rolling this out across your team?

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