# How to integrate Delighted MCP with CrewAI ```json { "title": "How to integrate Delighted MCP with CrewAI", "toolkit": "Delighted", "toolkit_slug": "delighted", "framework": "CrewAI", "framework_slug": "crew-ai", "url": "https://composio.dev/toolkits/delighted/framework/crew-ai", "markdown_url": "https://composio.dev/toolkits/delighted/framework/crew-ai.md", "updated_at": "2026-03-29T06:30:02.001Z" } ``` ## Introduction This guide walks you through connecting Delighted to CrewAI using the Composio tool router. By the end, you'll have a working Delighted agent that can send an nps survey to a customer, show all recent delighted feedback comments, get nps score for last quarter through natural language commands. This guide will help you understand how to give your CrewAI agent real control over a Delighted account through Composio's Delighted MCP server. Before we dive in, let's take a quick look at the key ideas and tools involved. ## Also integrate Delighted with - [OpenAI Agents SDK](https://composio.dev/toolkits/delighted/framework/open-ai-agents-sdk) - [Claude Agent SDK](https://composio.dev/toolkits/delighted/framework/claude-agents-sdk) - [Claude Code](https://composio.dev/toolkits/delighted/framework/claude-code) - [Claude Cowork](https://composio.dev/toolkits/delighted/framework/claude-cowork) - [Codex](https://composio.dev/toolkits/delighted/framework/codex) - [OpenClaw](https://composio.dev/toolkits/delighted/framework/openclaw) - [Hermes](https://composio.dev/toolkits/delighted/framework/hermes-agent) - [CLI](https://composio.dev/toolkits/delighted/framework/cli) - [Google ADK](https://composio.dev/toolkits/delighted/framework/google-adk) - [LangChain](https://composio.dev/toolkits/delighted/framework/langchain) - [Vercel AI SDK](https://composio.dev/toolkits/delighted/framework/ai-sdk) - [Mastra AI](https://composio.dev/toolkits/delighted/framework/mastra-ai) - [LlamaIndex](https://composio.dev/toolkits/delighted/framework/llama-index) ## TL;DR Here's what you'll learn: - Get a Composio API key and configure your Delighted connection - Set up CrewAI with an MCP enabled agent - Create a Tool Router session or standalone MCP server for Delighted - Build a conversational loop where your agent can execute Delighted 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 Delighted MCP server, and what's possible with it? The Delighted MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Delighted account. It provides structured and secure access so your agent can perform Delighted operations on your behalf. ## Supported Tools | Tool slug | Name | Description | |---|---|---| | `DELIGHTED_ADD_PERSON_TO_AUTOPILOT_EMAIL` | Add Person to Autopilot Email | Tool to add a person to Autopilot or update their properties for email-based surveys. Use when you need to enroll a person in scheduled email surveys or update their custom properties. | | `DELIGHTED_ADD_PERSON_TO_AUTOPILOT_SMS` | Add Person to Autopilot SMS | Tool to add a person to Autopilot or update their properties for SMS-based surveys. Use when you need to schedule automated survey delivery via SMS. | | `DELIGHTED_CREATE_PERSON` | Create or Update Person | Tool to create or update a person and schedule a survey email. Use when you need to add a new person to Delighted, update existing person details, or schedule a survey with custom properties for segmentation. | | `DELIGHTED_DELETE_PENDING_SURVEY_REQUESTS` | Delete Pending Survey Requests | Tool to remove all pending (scheduled but not yet sent) survey requests for a person. Use when you need to cancel all future surveys for a specific email address. | | `DELIGHTED_DELETE_PERSON` | Delete Person | Tool to remove a person and all associated data from Delighted. Use when you need to permanently delete a person's information. Deletion includes surveys, responses, properties, Autopilot membership, survey history, and unsubscribe/bounce status. | | `DELIGHTED_GET_AUTOPILOT_EMAIL_CONFIGURATION` | Get Autopilot Email Configuration | Tool to retrieve the current Autopilot configuration for email distribution. Returns configuration details including whether Autopilot is active, survey frequency, and timestamps. | | `DELIGHTED_GET_AUTOPILOT_SMS_CONFIGURATION` | Get Autopilot SMS Configuration | Tool to retrieve the current Autopilot configuration for SMS distribution. Use when you need to check whether Autopilot is enabled, review survey frequency settings, or examine configuration timestamps for SMS surveys. | | `DELIGHTED_LIST_AUTOPILOT_SMS_MEMBERSHIPS` | List Autopilot SMS Memberships | Tool to retrieve all Autopilot memberships for SMS distribution platform. Use when you need to list people enrolled in Autopilot SMS or filter by specific person details. | | `DELIGHTED_LIST_BOUNCED_PEOPLE` | List Bounced People | Tool to retrieve all bounced people for your account, ordered by bounce time (oldest first). Use when you need to identify email addresses that have bounced. Supports pagination via per_page and page parameters, and optional Unix timestamp filters (since, until) to restrict results to specific time ranges. | | `DELIGHTED_LIST_PEOPLE` | List People | Tool to retrieve all people for your account in creation order. Use when you need to list contacts, filter by email or phone number, or paginate through your people database. Supports cursor-based pagination via Link header and optional time-based filtering. Note: email and phone_number filters are mutually exclusive. | | `DELIGHTED_LIST_SURVEY_RESPONSES` | List Survey Responses | Tool to retrieve all survey responses for your account with pagination support and optional filtering. Use when you need to access survey feedback data, filter by date range, trend, person, or sort by creation/update time. Supports expanding person details and notes. | | `DELIGHTED_LIST_UNSUBSCRIBED_PEOPLE` | List Unsubscribed People | Tool to retrieve all unsubscribed people for your account, ordered by unsubscribe time (oldest first). Use when you need to identify people who have unsubscribed. Supports pagination via per_page and page parameters, and optional Unix timestamp filters (since, until) to restrict results to specific time ranges. | | `DELIGHTED_UNSUBSCRIBE_PERSON` | Unsubscribe Person | Tool to add a person to your unsubscribe list, preventing them from receiving any future surveys via email. Use when you need to permanently unsubscribe someone from all email surveys. This is functionally equivalent to the person clicking Unsubscribe within a survey. | ## Supported Triggers None listed. ## Creating MCP Server - Stand-alone vs Composio SDK The Delighted MCP server is an implementation of the Model Context Protocol that connects your AI agent to Delighted. It provides structured and secure access so your agent can perform Delighted 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 Delighted 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 Delighted 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 Delighted 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 Delighted **What's happening:** - You create a Delighted only session through Composio - Composio returns an MCP HTTP URL that exposes Delighted tools ```python composio_client = Composio(api_key=COMPOSIO_API_KEY) session = composio_client.create(user_id=COMPOSIO_USER_ID, toolkits=["delighted"]) 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=["delighted"], ) 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 Delighted through Composio's Tool Router. The agent can perform Delighted 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 Delighted MCP Agent with another framework - [OpenAI Agents SDK](https://composio.dev/toolkits/delighted/framework/open-ai-agents-sdk) - [Claude Agent SDK](https://composio.dev/toolkits/delighted/framework/claude-agents-sdk) - [Claude Code](https://composio.dev/toolkits/delighted/framework/claude-code) - [Claude Cowork](https://composio.dev/toolkits/delighted/framework/claude-cowork) - [Codex](https://composio.dev/toolkits/delighted/framework/codex) - [OpenClaw](https://composio.dev/toolkits/delighted/framework/openclaw) - [Hermes](https://composio.dev/toolkits/delighted/framework/hermes-agent) - [CLI](https://composio.dev/toolkits/delighted/framework/cli) - [Google ADK](https://composio.dev/toolkits/delighted/framework/google-adk) - [LangChain](https://composio.dev/toolkits/delighted/framework/langchain) - [Vercel AI SDK](https://composio.dev/toolkits/delighted/framework/ai-sdk) - [Mastra AI](https://composio.dev/toolkits/delighted/framework/mastra-ai) - [LlamaIndex](https://composio.dev/toolkits/delighted/framework/llama-index) ## Related Toolkits - [Google Sheets](https://composio.dev/toolkits/googlesheets) - Google Sheets is a cloud-based spreadsheet tool for real-time collaboration and data analysis. It lets teams work together from anywhere, updating information instantly. - [Notion](https://composio.dev/toolkits/notion) - Notion is a collaborative workspace for notes, docs, wikis, and tasks. It streamlines team knowledge, project tracking, and workflow customization in one place. - [Airtable](https://composio.dev/toolkits/airtable) - Airtable combines the flexibility of spreadsheets with the power of a database for easy project and data management. Teams use Airtable to organize, track, and collaborate with custom views and automations. - [Asana](https://composio.dev/toolkits/asana) - Asana is a collaborative work management platform for teams to organize and track projects. It streamlines teamwork, boosts productivity, and keeps everyone aligned on goals. - [Google Tasks](https://composio.dev/toolkits/googletasks) - Google Tasks is a to-do list and task management tool integrated into Gmail and Google Calendar. It helps you organize, track, and complete tasks across your Google ecosystem. - [Linear](https://composio.dev/toolkits/linear) - Linear is a modern issue tracking and project planning tool for fast-moving teams. It helps streamline workflows, organize projects, and boost productivity. - [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. - [Jira](https://composio.dev/toolkits/jira) - Jira is Atlassian’s platform for bug tracking, issue tracking, and agile project management. It helps teams organize work, prioritize tasks, and deliver projects efficiently. - [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. - [Clickup](https://composio.dev/toolkits/clickup) - ClickUp is an all-in-one productivity platform for managing tasks, docs, goals, and team collaboration. It streamlines project workflows so teams can work smarter and stay organized in one place. - [Monday](https://composio.dev/toolkits/monday) - Monday.com is a customizable work management platform for project planning and collaboration. It helps teams organize tasks, automate workflows, and track progress in real time. - [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. - [Addressfinder](https://composio.dev/toolkits/addressfinder) - Addressfinder is a data quality platform for verifying addresses, emails, and phone numbers. It helps you ensure accurate customer and contact data every time. - [Aeroleads](https://composio.dev/toolkits/aeroleads) - Aeroleads is a B2B lead generation platform for finding business emails and phone numbers. Grow your sales pipeline faster with powerful prospecting tools. - [Agiled](https://composio.dev/toolkits/agiled) - Agiled is an all-in-one business management platform for CRM, projects, and finance. It helps you streamline workflows, consolidate client data, and manage business processes in one place. - [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. ## Frequently Asked Questions ### What are the differences in Tool Router MCP and Delighted MCP? With a standalone Delighted MCP server, the agents and LLMs can only access a fixed set of Delighted tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from Delighted 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 Delighted tools. ### Can I manage the permissions and scopes for Delighted while using Tool Router? Yes, absolutely. You can configure which Delighted 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 Delighted data and credentials are handled as safely as possible. --- [See all toolkits](https://composio.dev/toolkits) · [Composio docs](https://docs.composio.dev/llms.txt)