# How to integrate Mopinion MCP with Mastra AI

```json
{
  "title": "How to integrate Mopinion MCP with Mastra AI",
  "toolkit": "Mopinion",
  "toolkit_slug": "mopinion",
  "framework": "Mastra AI",
  "framework_slug": "mastra-ai",
  "url": "https://composio.dev/toolkits/mopinion/framework/mastra-ai",
  "markdown_url": "https://composio.dev/toolkits/mopinion/framework/mastra-ai.md",
  "updated_at": "2026-05-12T10:19:29.427Z"
}
```

## Introduction

This guide walks you through connecting Mopinion to Mastra AI using the Composio tool router. By the end, you'll have a working Mopinion agent that can get all recent website feedback reports, summarize negative feedback from mobile users, list most common survey responses this week through natural language commands.
This guide will help you understand how to give your Mastra AI agent real control over a Mopinion account through Composio's Mopinion MCP server.
Before we dive in, let's take a quick look at the key ideas and tools involved.

## Also integrate Mopinion with

- [OpenAI Agents SDK](https://composio.dev/toolkits/mopinion/framework/open-ai-agents-sdk)
- [Claude Agent SDK](https://composio.dev/toolkits/mopinion/framework/claude-agents-sdk)
- [Claude Code](https://composio.dev/toolkits/mopinion/framework/claude-code)
- [Claude Cowork](https://composio.dev/toolkits/mopinion/framework/claude-cowork)
- [Codex](https://composio.dev/toolkits/mopinion/framework/codex)
- [OpenClaw](https://composio.dev/toolkits/mopinion/framework/openclaw)
- [Hermes](https://composio.dev/toolkits/mopinion/framework/hermes-agent)
- [CLI](https://composio.dev/toolkits/mopinion/framework/cli)
- [Google ADK](https://composio.dev/toolkits/mopinion/framework/google-adk)
- [LangChain](https://composio.dev/toolkits/mopinion/framework/langchain)
- [Vercel AI SDK](https://composio.dev/toolkits/mopinion/framework/ai-sdk)
- [LlamaIndex](https://composio.dev/toolkits/mopinion/framework/llama-index)
- [CrewAI](https://composio.dev/toolkits/mopinion/framework/crew-ai)

## TL;DR

Here's what you'll learn:
- Set up your environment so Mastra, OpenAI, and Composio work together
- Create a Tool Router session in Composio that exposes Mopinion tools
- Connect Mastra's MCP client to the Composio generated MCP URL
- Fetch Mopinion tool definitions and attach them as a toolset
- Build a Mastra agent that can reason, call tools, and return structured results
- Run an interactive CLI where you can chat with your Mopinion agent

## What is Mastra AI?

Mastra AI is a TypeScript framework for building AI agents with tool support. It provides a clean API for creating agents that can use external services through MCP.
Key features include:
- MCP Client: Built-in support for Model Context Protocol servers
- Toolsets: Organize tools into logical groups
- Step Callbacks: Monitor and debug agent execution
- OpenAI Integration: Works with OpenAI models via @ai-sdk/openai

## What is the Mopinion MCP server, and what's possible with it?

The Mopinion MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Mopinion account. It provides structured and secure access to your feedback data and analytics, so your agent can perform actions like retrieving user feedback, analyzing survey results, generating reports, and monitoring trends on your behalf.
- Centralized feedback retrieval: Instantly pull user feedback from all your websites and apps so your agent can surface insights across every touchpoint.
- Survey results analysis: Let your agent analyze form and survey submissions, identifying common issues, sentiment, and emerging trends.
- Custom report generation: Have the agent generate detailed feedback reports, aggregating user responses and highlighting actionable improvements.
- Trend and KPI monitoring: Ask your agent to track changes in user sentiment or conversion-related metrics over time for continuous optimization.
- Segmented feedback filtering: Enable your agent to filter and group feedback by device, location, or other custom attributes to uncover targeted opportunities.

## Supported Tools

| Tool slug | Name | Description |
|---|---|---|
| `MOPINION_GET_ACCOUNT` | Get Account | Tool to retrieve the current authenticated account information. Use to verify authentication and get account details. |
| `MOPINION_GET_DATASET_BY_ID` | Get Dataset by ID | Retrieve complete metadata for a specific Mopinion dataset (feedback form) by its ID. Returns dataset properties including name, associated report ID, data source type, and description. Use this action when you need detailed information about a specific dataset/form. To discover available dataset IDs, use the List Datasets action first. This is a read-only operation that does not modify any data. |
| `MOPINION_GET_DATASET_FEEDBACK` | Get Dataset Feedback | Retrieve feedback items (survey responses) for a specific dataset/form with optional pagination and filtering. Use this action to fetch multiple feedback entries from a dataset. Each feedback item contains the survey responses including custom fields, scores, metadata, and timestamps. Supports pagination for large result sets and filtering by field values. For retrieving a single feedback item by ID, use GET_DATASET_FEEDBACK_BY_ID instead. |
| `MOPINION_GET_DATASET_FEEDBACK_BY_ID` | Get Dataset Feedback By ID | Retrieves a single feedback item by its unique identifier from a specific dataset. Use this tool when you need detailed information about a specific feedback item. First obtain the dataset_id using List Datasets, then get feedback_id values using Get Dataset Feedback. **Important Notes:** - Returns a warning in metadata if the feedback item doesn't exist (with null field values) - Returns 404 error if the dataset_id itself is invalid or inaccessible - The response includes feedback fields, tags, scores, timestamps, and associated metadata |
| `MOPINION_GET_DATASET_FIELDS` | Get Dataset Field Definitions | Tool to retrieve field definitions for a dataset. Use when you need the schema of a dataset's fields. |
| `MOPINION_GET_DEPLOYMENT_BY_ID` | Get Deployment by ID | Retrieves detailed configuration for a specific feedback form deployment by its ID. Returns deployment rules, trigger conditions, scheduling settings, target URLs, and active status. Use this to understand when, where, and how a feedback form is displayed to users. |
| `MOPINION_GET_DEPLOYMENTS` | Get Deployments | Tool to list all deployments for the authenticated Mopinion account. Use after setting up authentication. |
| `MOPINION_GET_REPORT_BY_ID` | Get Report By ID | Retrieves detailed information about a specific Mopinion report by its ID. Returns comprehensive report details including name, description, language, creation date, and all associated datasets with their metadata. Use this when you need full information about a specific report. To find available report IDs, use the Get Reports action first. Example use case: Get complete details of report 22511 to understand its datasets and configuration. |
| `MOPINION_GET_REPORT_FEEDBACK` | Get Report Feedback | Tool to retrieve feedback items for a report. Use when you need paginated and filtered feedback entries for analysis. |
| `MOPINION_GET_REPORT_FIELDS` | Get Report Fields | Tool to retrieve field definitions for a specific report. Use when you need the schema of a report's feedback fields before constructing or analyzing forms. |
| `MOPINION_GET_ROOT` | Get API Root | Check Mopinion API availability and get version information. Pings the API health check endpoint (/ping) and returns status code, 'pong' response, and current API version. Use this to verify the API is reachable and operational. |

## Supported Triggers

None listed.

## Creating MCP Server - Stand-alone vs Composio SDK

The Mopinion MCP server is an implementation of the Model Context Protocol that connects your AI agent to Mopinion. It provides structured and secure access so your agent can perform Mopinion operations on your behalf through a secure, permission-based interface.
With Composio's managed implementation, you don't have to create your own developer app. For production, if you're building an end product, we recommend using your own credentials. The managed server helps you prototype fast and go from 0-1 faster.

## Step-by-step Guide

### 1. Prerequisites

Before starting, make sure you have:
- Node.js 18 or higher
- A Composio account with an active API key
- An OpenAI API key
- Basic familiarity with TypeScript

### 1. Getting API Keys for OpenAI and Composio

OpenAI API Key
- Go to the [OpenAI dashboard](https://platform.openai.com/settings/organization/api-keys) and create an API key.
- You need credits or a connected billing setup to use the models.
- Store the key somewhere safe.
Composio API Key
- Log in to the [Composio dashboard](https://dashboard.composio.dev?utm_source=toolkits&utm_medium=framework_docs).
- Go to Settings and copy your API key.
- This key lets your Mastra agent talk to Composio and reach Mopinion through MCP.

### 2. Install dependencies

Install the required packages.
What's happening:
- @composio/core is the Composio SDK for creating MCP sessions
- @mastra/core provides the Agent class
- @mastra/mcp is Mastra's MCP client
- @ai-sdk/openai is the model wrapper for OpenAI
- dotenv loads environment variables from .env
```bash
npm install @composio/core @mastra/core @mastra/mcp @ai-sdk/openai dotenv
```

### 3. Set up environment variables

Create a .env file in your project root.
What's happening:
- COMPOSIO_API_KEY authenticates your requests to Composio
- COMPOSIO_USER_ID tells Composio which user this session belongs to
- OPENAI_API_KEY lets the Mastra agent call OpenAI models
```bash
COMPOSIO_API_KEY=your_composio_api_key_here
COMPOSIO_USER_ID=your_user_id_here
OPENAI_API_KEY=your_openai_api_key_here
```

### 4. Import libraries and validate environment

What's happening:
- dotenv/config auto loads your .env so process.env.* is available
- openai gives you a Mastra compatible model wrapper
- Agent is the Mastra agent that will call tools and produce answers
- MCPClient connects Mastra to your Composio MCP server
- Composio is used to create a Tool Router session
```typescript
import "dotenv/config";
import { openai } from "@ai-sdk/openai";
import { Agent } from "@mastra/core/agent";
import { MCPClient } from "@mastra/mcp";
import { Composio } from "@composio/core";
import * as readline from "readline";

import type { AiMessageType } from "@mastra/core/agent";

const openaiAPIKey = process.env.OPENAI_API_KEY;
const composioAPIKey = process.env.COMPOSIO_API_KEY;
const composioUserID = process.env.COMPOSIO_USER_ID;

if (!openaiAPIKey) throw new Error("OPENAI_API_KEY is not set");
if (!composioAPIKey) throw new Error("COMPOSIO_API_KEY is not set");
if (!composioUserID) throw new Error("COMPOSIO_USER_ID is not set");

const composio = new Composio({
  apiKey: composioAPIKey as string,
});
```

### 5. Create a Tool Router session for Mopinion

What's happening:
- create spins up a short-lived MCP HTTP endpoint for this user
- The toolkits array contains "mopinion" for Mopinion access
- session.mcp.url is the MCP URL that Mastra's MCPClient will connect to
```typescript
async function main() {
  const session = await composio.create(
    composioUserID as string,
    {
      toolkits: ["mopinion"],
    },
  );

  const composioMCPUrl = session.mcp.url;
  console.log("Mopinion MCP URL:", composioMCPUrl);
```

### 6. Configure Mastra MCP client and fetch tools

What's happening:
- MCPClient takes an id for this client and a list of MCP servers
- The headers property includes the x-api-key for authentication
- getTools fetches the tool definitions exposed by the Mopinion toolkit
```typescript
const mcpClient = new MCPClient({
    id: composioUserID as string,
    servers: {
      nasdaq: {
        url: new URL(composioMCPUrl),
        requestInit: {
          headers: session.mcp.headers,
        },
      },
    },
    timeout: 30_000,
  });

console.log("Fetching MCP tools from Composio...");
const composioTools = await mcpClient.getTools();
console.log("Number of tools:", Object.keys(composioTools).length);
```

### 7. Create the Mastra agent

What's happening:
- Agent is the core Mastra agent
- name is just an identifier for logging and debugging
- instructions guide the agent to use tools instead of only answering in natural language
- model uses openai("gpt-5") to configure the underlying LLM
```typescript
const agent = new Agent({
    name: "mopinion-mastra-agent",
    instructions: "You are an AI agent with Mopinion tools via Composio.",
    model: "openai/gpt-5",
  });
```

### 8. Set up interactive chat interface

What's happening:
- messages keeps the full conversation history in Mastra's expected format
- agent.generate runs the agent with conversation history and Mopinion toolsets
- maxSteps limits how many tool calls the agent can take in a single run
- onStepFinish is a hook that prints intermediate steps for debugging
```typescript
let messages: AiMessageType[] = [];

console.log("Chat started! Type 'exit' or 'quit' to end.\n");

const rl = readline.createInterface({
  input: process.stdin,
  output: process.stdout,
  prompt: "> ",
});

rl.prompt();

rl.on("line", async (userInput: string) => {
  const trimmedInput = userInput.trim();

  if (["exit", "quit", "bye"].includes(trimmedInput.toLowerCase())) {
    console.log("\nGoodbye!");
    rl.close();
    process.exit(0);
  }

  if (!trimmedInput) {
    rl.prompt();
    return;
  }

  messages.push({
    id: crypto.randomUUID(),
    role: "user",
    content: trimmedInput,
  });

  console.log("\nAgent is thinking...\n");

  try {
    const response = await agent.generate(messages, {
      toolsets: {
        mopinion: composioTools,
      },
      maxSteps: 8,
    });

    const { text } = response;

    if (text && text.trim().length > 0) {
      console.log(`Agent: ${text}\n`);
        messages.push({
          id: crypto.randomUUID(),
          role: "assistant",
          content: text,
        });
      }
    } catch (error) {
      console.error("\nError:", error);
    }

    rl.prompt();
  });

  rl.on("close", async () => {
    console.log("\nSession ended.");
    await mcpClient.disconnect();
    process.exit(0);
  });
}

main().catch((err) => {
  console.error("Fatal error:", err);
  process.exit(1);
});
```

## Complete Code

```typescript
import "dotenv/config";
import { openai } from "@ai-sdk/openai";
import { Agent } from "@mastra/core/agent";
import { MCPClient } from "@mastra/mcp";
import { Composio } from "@composio/core";
import * as readline from "readline";

import type { AiMessageType } from "@mastra/core/agent";

const openaiAPIKey = process.env.OPENAI_API_KEY;
const composioAPIKey = process.env.COMPOSIO_API_KEY;
const composioUserID = process.env.COMPOSIO_USER_ID;

if (!openaiAPIKey) throw new Error("OPENAI_API_KEY is not set");
if (!composioAPIKey) throw new Error("COMPOSIO_API_KEY is not set");
if (!composioUserID) throw new Error("COMPOSIO_USER_ID is not set");

const composio = new Composio({ apiKey: composioAPIKey as string });

async function main() {
  const session = await composio.create(composioUserID as string, {
    toolkits: ["mopinion"],
  });

  const composioMCPUrl = session.mcp.url;

  const mcpClient = new MCPClient({
    id: composioUserID as string,
    servers: {
      mopinion: {
        url: new URL(composioMCPUrl),
        requestInit: {
          headers: session.mcp.headers,
        },
      },
    },
    timeout: 30_000,
  });

  const composioTools = await mcpClient.getTools();

  const agent = new Agent({
    name: "mopinion-mastra-agent",
    instructions: "You are an AI agent with Mopinion tools via Composio.",
    model: "openai/gpt-5",
  });

  let messages: AiMessageType[] = [];

  const rl = readline.createInterface({
    input: process.stdin,
    output: process.stdout,
    prompt: "> ",
  });

  rl.prompt();

  rl.on("line", async (input: string) => {
    const trimmed = input.trim();
    if (["exit", "quit"].includes(trimmed.toLowerCase())) {
      rl.close();
      return;
    }

    messages.push({ id: crypto.randomUUID(), role: "user", content: trimmed });

    const { text } = await agent.generate(messages, {
      toolsets: { mopinion: composioTools },
      maxSteps: 8,
    });

    if (text) {
      console.log(`Agent: ${text}\n`);
      messages.push({ id: crypto.randomUUID(), role: "assistant", content: text });
    }

    rl.prompt();
  });

  rl.on("close", async () => {
    await mcpClient.disconnect();
    process.exit(0);
  });
}

main();
```

## Conclusion

You've built a Mastra AI agent that can interact with Mopinion through Composio's Tool Router.
You can extend this further by:
- Adding other toolkits like Gmail, Slack, or GitHub
- Building a web-based chat interface around this agent
- Using multiple MCP endpoints to enable cross-app workflows

## How to build Mopinion MCP Agent with another framework

- [OpenAI Agents SDK](https://composio.dev/toolkits/mopinion/framework/open-ai-agents-sdk)
- [Claude Agent SDK](https://composio.dev/toolkits/mopinion/framework/claude-agents-sdk)
- [Claude Code](https://composio.dev/toolkits/mopinion/framework/claude-code)
- [Claude Cowork](https://composio.dev/toolkits/mopinion/framework/claude-cowork)
- [Codex](https://composio.dev/toolkits/mopinion/framework/codex)
- [OpenClaw](https://composio.dev/toolkits/mopinion/framework/openclaw)
- [Hermes](https://composio.dev/toolkits/mopinion/framework/hermes-agent)
- [CLI](https://composio.dev/toolkits/mopinion/framework/cli)
- [Google ADK](https://composio.dev/toolkits/mopinion/framework/google-adk)
- [LangChain](https://composio.dev/toolkits/mopinion/framework/langchain)
- [Vercel AI SDK](https://composio.dev/toolkits/mopinion/framework/ai-sdk)
- [LlamaIndex](https://composio.dev/toolkits/mopinion/framework/llama-index)
- [CrewAI](https://composio.dev/toolkits/mopinion/framework/crew-ai)

## Related Toolkits

- [Firecrawl](https://composio.dev/toolkits/firecrawl) - Firecrawl automates large-scale web crawling and data extraction. It helps organizations efficiently gather, index, and analyze content from online sources.
- [Tavily](https://composio.dev/toolkits/tavily) - Tavily offers powerful search and data retrieval from documents, databases, and the web. It helps teams locate and filter information instantly, saving hours on research.
- [Exa](https://composio.dev/toolkits/exa) - Exa is a data extraction and search platform for gathering and analyzing information from websites, APIs, or databases. It helps teams quickly surface insights and automate data-driven workflows.
- [Serpapi](https://composio.dev/toolkits/serpapi) - SerpApi is a real-time API for structured search engine results. It lets you automate SERP data collection, parsing, and analysis for SEO and research.
- [Peopledatalabs](https://composio.dev/toolkits/peopledatalabs) - Peopledatalabs delivers B2B data enrichment and identity resolution APIs. Supercharge your apps with accurate, up-to-date business and contact data.
- [Snowflake](https://composio.dev/toolkits/snowflake) - Snowflake is a cloud data warehouse built for elastic scaling, secure data sharing, and fast SQL analytics across major clouds.
- [Posthog](https://composio.dev/toolkits/posthog) - PostHog is an open-source analytics platform for tracking user interactions and product metrics. It helps teams refine features, analyze funnels, and reduce churn with actionable insights.
- [Amplitude](https://composio.dev/toolkits/amplitude) - Amplitude is a digital analytics platform for product and behavioral data insights. It helps teams analyze user journeys and make data-driven decisions quickly.
- [Bright Data MCP](https://composio.dev/toolkits/brightdata_mcp) - Bright Data MCP is an AI-powered web scraping and data collection platform. Instantly access public web data in real time with advanced scraping tools.
- [Browseai](https://composio.dev/toolkits/browseai) - Browseai is a web automation and data extraction platform that turns any website into an API. It's perfect for monitoring websites and retrieving structured data without manual scraping.
- [ClickHouse](https://composio.dev/toolkits/clickhouse) - ClickHouse is an open-source, column-oriented database for real-time analytics and big data processing using SQL. Its lightning-fast query performance makes it ideal for handling large datasets and delivering instant insights.
- [Coinmarketcal](https://composio.dev/toolkits/coinmarketcal) - CoinMarketCal is a community-powered crypto calendar for upcoming events, announcements, and releases. It helps traders track market-moving developments and stay ahead in the crypto space.
- [Control d](https://composio.dev/toolkits/control_d) - Control d is a customizable DNS filtering and traffic redirection platform. It helps you manage internet access, enforce policies, and monitor usage across devices and networks.
- [Databox](https://composio.dev/toolkits/databox) - Databox is a business analytics platform that connects your data from any tool and device. It helps you track KPIs, build dashboards, and discover actionable insights.
- [Databricks](https://composio.dev/toolkits/databricks) - Databricks is a unified analytics platform for big data and AI on the lakehouse architecture. It empowers data teams to collaborate, analyze, and build scalable solutions efficiently.
- [Datagma](https://composio.dev/toolkits/datagma) - Datagma delivers data intelligence and analytics for business growth and market discovery. Get actionable market insights and track competitors to inform your strategy.
- [Delighted](https://composio.dev/toolkits/delighted) - Delighted is a customer feedback platform based on the Net Promoter System®. It helps you quickly gather, track, and act on customer sentiment.
- [Dovetail](https://composio.dev/toolkits/dovetail) - Dovetail is a research analysis platform for transcript review and insight generation. It helps teams code interviews, analyze feedback, and create actionable research summaries.
- [Dub](https://composio.dev/toolkits/dub) - Dub is a short link management platform with analytics and API access. Use it to easily create, manage, and track branded short links for your business.
- [Elasticsearch](https://composio.dev/toolkits/elasticsearch) - Elasticsearch is a distributed, RESTful search and analytics engine for all types of data. It delivers fast, scalable search and powerful analytics across massive datasets.

## Frequently Asked Questions

### What are the differences in Tool Router MCP and Mopinion MCP?

With a standalone Mopinion MCP server, the agents and LLMs can only access a fixed set of Mopinion tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from Mopinion and many other apps based on the task at hand, all through a single MCP endpoint.

### Can I use Tool Router MCP with Mastra AI?

Yes, you can. Mastra AI fully supports MCP integration. You get structured tool calling, message history handling, and model orchestration while Tool Router takes care of discovering and serving the right Mopinion tools.

### Can I manage the permissions and scopes for Mopinion while using Tool Router?

Yes, absolutely. You can configure which Mopinion scopes and actions are allowed when connecting your account to Composio. You can also bring your own OAuth credentials or API configuration so you keep full control over what the agent can do.

### How safe is my data with Composio Tool Router?

All sensitive data such as tokens, keys, and configuration is fully encrypted at rest and in transit. Composio is SOC 2 Type 2 compliant and follows strict security practices so your Mopinion data and credentials are handled as safely as possible.

---
[See all toolkits](https://composio.dev/toolkits) · [Composio docs](https://docs.composio.dev/llms.txt)