# How to integrate Mopinion MCP with CrewAI ```json { "title": "How to integrate Mopinion MCP with CrewAI", "toolkit": "Mopinion", "toolkit_slug": "mopinion", "framework": "CrewAI", "framework_slug": "crew-ai", "url": "https://composio.dev/toolkits/mopinion/framework/crew-ai", "markdown_url": "https://composio.dev/toolkits/mopinion/framework/crew-ai.md", "updated_at": "2026-05-12T10:19:29.427Z" } ``` ## Introduction This guide walks you through connecting Mopinion to CrewAI 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 CrewAI 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) - [Mastra AI](https://composio.dev/toolkits/mopinion/framework/mastra-ai) - [LlamaIndex](https://composio.dev/toolkits/mopinion/framework/llama-index) ## TL;DR Here's what you'll learn: - Get a Composio API key and configure your Mopinion connection - Set up CrewAI with an MCP enabled agent - Create a Tool Router session or standalone MCP server for Mopinion - Build a conversational loop where your agent can execute Mopinion operations ## What is CrewAI? CrewAI is a powerful framework for building multi-agent AI systems. It provides primitives for defining agents with specific roles, creating tasks, and orchestrating workflows through crews. Key features include: - Agent Roles: Define specialized agents with specific goals and backstories - Task Management: Create tasks with clear descriptions and expected outputs - Crew Orchestration: Combine agents and tasks into collaborative workflows - MCP Integration: Connect to external tools through Model Context Protocol ## 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: - Python 3.9 or higher - A Composio account and API key - A Mopinion connection authorized in Composio - An OpenAI API key for the CrewAI LLM - Basic familiarity with Python ### 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'll need credits to use the models, or you can connect to another model provider. - Keep the API key safe. Composio API Key - Log in to the [Composio dashboard](https://dashboard.composio.dev?utm_source=toolkits&utm_medium=framework_docs). - Navigate to your API settings and generate a new API key. - Store this key securely as you'll need it for authentication. ### 2. Install dependencies **What's happening:** - composio connects your agent to Mopinion via MCP - crewai provides Agent, Task, Crew, and LLM primitives - crewai-tools[mcp] includes MCP helpers - python-dotenv loads environment variables from .env ```bash pip install composio crewai crewai-tools[mcp] python-dotenv ``` ### 3. Set up environment variables Create a .env file in your project root. What's happening: - COMPOSIO_API_KEY authenticates with Composio - USER_ID scopes the session to your account - OPENAI_API_KEY lets CrewAI use your chosen OpenAI model ```bash COMPOSIO_API_KEY=your_composio_api_key_here USER_ID=your_user_id_here OPENAI_API_KEY=your_openai_api_key_here ``` ### 4. Import dependencies **What's happening:** - CrewAI classes define agents and tasks, and run the workflow - MCPServerHTTP connects the agent to an MCP endpoint - Composio will give you a short lived Mopinion MCP URL ```python import os from composio import Composio from crewai import Agent, Task, Crew from crewai_tools import MCPServerAdapter import dotenv dotenv.load_dotenv() COMPOSIO_API_KEY = os.getenv("COMPOSIO_API_KEY") COMPOSIO_USER_ID = os.getenv("COMPOSIO_USER_ID") if not COMPOSIO_API_KEY: raise ValueError("COMPOSIO_API_KEY is not set") if not COMPOSIO_USER_ID: raise ValueError("COMPOSIO_USER_ID is not set") ``` ### 5. Create a Composio Tool Router session for Mopinion **What's happening:** - You create a Mopinion only session through Composio - Composio returns an MCP HTTP URL that exposes Mopinion tools ```python composio_client = Composio(api_key=COMPOSIO_API_KEY) session = composio_client.create(user_id=COMPOSIO_USER_ID, toolkits=["mopinion"]) url = session.mcp.url ``` ### 6. Initialize the MCP Server **What's Happening:** - Server Configuration: The code sets up connection parameters including the MCP server URL, streamable HTTP transport, and Composio API key authentication. - MCP Adapter Bridge: MCPServerAdapter acts as a context manager that converts Composio MCP tools into a CrewAI-compatible format. - Agent Setup: Creates a CrewAI Agent with a defined role (Search Assistant), goal (help with internet searches), and access to the MCP tools. - Configuration Options: The agent includes settings like verbose=False for clean output and max_iter=10 to prevent infinite loops. - Dynamic Tool Usage: Once created, the agent automatically accesses all Composio Search tools and decides when to use them based on user queries. ```python server_params = { "url": url, "transport": "streamable-http", "headers": {"x-api-key": COMPOSIO_API_KEY}, } with MCPServerAdapter(server_params) as tools: agent = Agent( role="Search Assistant", goal="Help users search the internet effectively", backstory="You are a helpful assistant with access to search tools.", tools=tools, verbose=False, max_iter=10, ) ``` ### 7. Create a CLI Chatloop and define the Crew **What's Happening:** - Interactive CLI Setup: The code creates an infinite loop that continuously prompts for user input and maintains the entire conversation history in a string variable. - Input Validation: Empty inputs are ignored to prevent processing blank messages and keep the conversation clean. - Context Building: Each user message is appended to the conversation context, which preserves the full dialogue history for better agent responses. - Dynamic Task Creation: For every user input, a new Task is created that includes both the full conversation history and the current request as context. - Crew Execution: A Crew is instantiated with the agent and task, then kicked off to process the request and generate a response. - Response Management: The agent's response is converted to a string, added to the conversation context, and displayed to the user, maintaining conversational continuity. ```python print("Chat started! Type 'exit' or 'quit' to end.\n") conversation_context = "" while True: user_input = input("You: ").strip() if user_input.lower() in ["exit", "quit", "bye"]: print("\nGoodbye!") break if not user_input: continue conversation_context += f"\nUser: {user_input}\n" print("\nAgent is thinking...\n") task = Task( description=( f"Conversation history:\n{conversation_context}\n\n" f"Current request: {user_input}" ), expected_output="A helpful response addressing the user's request", agent=agent, ) crew = Crew(agents=[agent], tasks=[task], verbose=False) result = crew.kickoff() response = str(result) conversation_context += f"Agent: {response}\n" print(f"Agent: {response}\n") ``` ## Complete Code ```python from crewai import Agent, Task, Crew, LLM from crewai_tools import MCPServerAdapter from composio import Composio from dotenv import load_dotenv import os load_dotenv() GOOGLE_API_KEY = os.getenv("GOOGLE_API_KEY") COMPOSIO_API_KEY = os.getenv("COMPOSIO_API_KEY") COMPOSIO_USER_ID = os.getenv("COMPOSIO_USER_ID") if not GOOGLE_API_KEY: raise ValueError("GOOGLE_API_KEY is not set in the environment.") if not COMPOSIO_API_KEY: raise ValueError("COMPOSIO_API_KEY is not set in the environment.") if not COMPOSIO_USER_ID: raise ValueError("COMPOSIO_USER_ID is not set in the environment.") # Initialize Composio and create a session composio = Composio(api_key=COMPOSIO_API_KEY) session = composio.create( user_id=COMPOSIO_USER_ID, toolkits=["mopinion"], ) url = session.mcp.url # Configure LLM llm = LLM( model="gpt-5", api_key=os.getenv("OPENAI_API_KEY"), ) server_params = { "url": url, "transport": "streamable-http", "headers": {"x-api-key": COMPOSIO_API_KEY}, } with MCPServerAdapter(server_params) as tools: agent = Agent( role="Search Assistant", goal="Help users with internet searches", backstory="You are an expert assistant with access to Composio Search tools.", tools=tools, llm=llm, verbose=False, max_iter=10, ) print("Chat started! Type 'exit' or 'quit' to end.\n") conversation_context = "" while True: user_input = input("You: ").strip() if user_input.lower() in ["exit", "quit", "bye"]: print("\nGoodbye!") break if not user_input: continue conversation_context += f"\nUser: {user_input}\n" print("\nAgent is thinking...\n") task = Task( description=( f"Conversation history:\n{conversation_context}\n\n" f"Current request: {user_input}" ), expected_output="A helpful response addressing the user's request", agent=agent, ) crew = Crew(agents=[agent], tasks=[task], verbose=False) result = crew.kickoff() response = str(result) conversation_context += f"Agent: {response}\n" print(f"Agent: {response}\n") ``` ## Conclusion You now have a CrewAI agent connected to Mopinion through Composio's Tool Router. The agent can perform Mopinion operations through natural language commands. Next steps: - Add role-specific instructions to customize agent behavior - Plug in more toolkits for multi-app workflows - Chain tasks for complex multi-step operations ## 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) - [Mastra AI](https://composio.dev/toolkits/mopinion/framework/mastra-ai) - [LlamaIndex](https://composio.dev/toolkits/mopinion/framework/llama-index) ## 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 CrewAI? Yes, you can. CrewAI 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)