# How to integrate 2chat MCP with CrewAI ```json { "title": "How to integrate 2chat MCP with CrewAI", "toolkit": "2chat", "toolkit_slug": "_2chat", "framework": "CrewAI", "framework_slug": "crew-ai", "url": "https://composio.dev/toolkits/_2chat/framework/crew-ai", "markdown_url": "https://composio.dev/toolkits/_2chat/framework/crew-ai.md", "updated_at": "2026-05-12T09:59:48.591Z" } ``` ## Introduction This guide walks you through connecting 2chat to CrewAI using the Composio tool router. By the end, you'll have a working 2chat agent that can add new whatsapp contact for sales lead, list all whatsapp contacts and their details, check your 2chat api usage this week through natural language commands. This guide will help you understand how to give your CrewAI agent real control over a 2chat account through Composio's 2chat MCP server. Before we dive in, let's take a quick look at the key ideas and tools involved. ## Also integrate 2chat with - [OpenAI Agents SDK](https://composio.dev/toolkits/_2chat/framework/open-ai-agents-sdk) - [Claude Agent SDK](https://composio.dev/toolkits/_2chat/framework/claude-agents-sdk) - [Claude Code](https://composio.dev/toolkits/_2chat/framework/claude-code) - [Claude Cowork](https://composio.dev/toolkits/_2chat/framework/claude-cowork) - [Codex](https://composio.dev/toolkits/_2chat/framework/codex) - [OpenClaw](https://composio.dev/toolkits/_2chat/framework/openclaw) - [Hermes](https://composio.dev/toolkits/_2chat/framework/hermes-agent) - [CLI](https://composio.dev/toolkits/_2chat/framework/cli) - [Google ADK](https://composio.dev/toolkits/_2chat/framework/google-adk) - [LangChain](https://composio.dev/toolkits/_2chat/framework/langchain) - [Vercel AI SDK](https://composio.dev/toolkits/_2chat/framework/ai-sdk) - [Mastra AI](https://composio.dev/toolkits/_2chat/framework/mastra-ai) - [LlamaIndex](https://composio.dev/toolkits/_2chat/framework/llama-index) ## TL;DR Here's what you'll learn: - Get a Composio API key and configure your 2chat connection - Set up CrewAI with an MCP enabled agent - Create a Tool Router session or standalone MCP server for 2chat - Build a conversational loop where your agent can execute 2chat 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 2chat MCP server, and what's possible with it? The 2chat MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your 2chat account. It provides structured and secure access to your messaging channels, so your agent can perform actions like sending and receiving WhatsApp messages, managing contacts, monitoring API usage, and automating group workflows on your behalf. - Contact management and automation: Quickly add new contacts or retrieve existing ones, allowing your agent to keep your WhatsApp and text channels up to date and organized. - API usage monitoring: Effortlessly check your current API usage and quotas, so your agent can help prevent service interruptions or overages. - Webhook subscription review: Let your agent list and audit all active webhook subscriptions for your messaging channels, making it easy to monitor integrations and event triggers. - Credential validation and account status: Have your agent validate API keys and fetch account information to ensure secure and reliable operation before performing messaging tasks. ## Supported Tools | Tool slug | Name | Description | |---|---|---| | `_2CHAT_CREATE_CONTACT` | Create Contact | Tool to create a new contact in your 2Chat account. Use after gathering and verifying first name and at least one contact detail (email, phone, or address). | | `_2CHAT_GET_API_USAGE_INFO` | Get API Usage Info | Tool to retrieve current API usage and account information. Use when you need to monitor your remaining quotas before sending more requests. | | `_2CHAT_LIST_CONTACTS` | List Contacts | Tool to list all contacts in your 2Chat account. Use when you need to retrieve your contact list after confirming your account connection. | | `_2CHAT_LIST_WEBHOOKS` | List Webhook Subscriptions | List all configured webhook subscriptions for WhatsApp and phone call events. Use this when you need to audit, review, or retrieve UUIDs of your active webhook subscriptions. Returns details including webhook UUID, event type, channel UUID, callback URL, and creation timestamp. | | `_2CHAT_TEST_API_KEY` | Test API Key | Tool to validate your API key and retrieve account info. Use when confirming credentials before performing other operations. | ## Supported Triggers None listed. ## Creating MCP Server - Stand-alone vs Composio SDK The 2chat MCP server is an implementation of the Model Context Protocol that connects your AI agent to 2chat. It provides structured and secure access so your agent can perform 2chat 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 2chat 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 2chat 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 2chat 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 2chat **What's happening:** - You create a 2chat only session through Composio - Composio returns an MCP HTTP URL that exposes 2chat tools ```python composio_client = Composio(api_key=COMPOSIO_API_KEY) session = composio_client.create(user_id=COMPOSIO_USER_ID, toolkits=["_2chat"]) 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=["_2chat"], ) 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 2chat through Composio's Tool Router. The agent can perform 2chat 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 2chat MCP Agent with another framework - [OpenAI Agents SDK](https://composio.dev/toolkits/_2chat/framework/open-ai-agents-sdk) - [Claude Agent SDK](https://composio.dev/toolkits/_2chat/framework/claude-agents-sdk) - [Claude Code](https://composio.dev/toolkits/_2chat/framework/claude-code) - [Claude Cowork](https://composio.dev/toolkits/_2chat/framework/claude-cowork) - [Codex](https://composio.dev/toolkits/_2chat/framework/codex) - [OpenClaw](https://composio.dev/toolkits/_2chat/framework/openclaw) - [Hermes](https://composio.dev/toolkits/_2chat/framework/hermes-agent) - [CLI](https://composio.dev/toolkits/_2chat/framework/cli) - [Google ADK](https://composio.dev/toolkits/_2chat/framework/google-adk) - [LangChain](https://composio.dev/toolkits/_2chat/framework/langchain) - [Vercel AI SDK](https://composio.dev/toolkits/_2chat/framework/ai-sdk) - [Mastra AI](https://composio.dev/toolkits/_2chat/framework/mastra-ai) - [LlamaIndex](https://composio.dev/toolkits/_2chat/framework/llama-index) ## Related Toolkits - [Gmail](https://composio.dev/toolkits/gmail) - Gmail is Google's email service with powerful spam protection, search, and G Suite integration. It keeps your inbox organized and makes communication fast and reliable. - [Outlook](https://composio.dev/toolkits/outlook) - Outlook is Microsoft's email and calendaring platform for unified communications and scheduling. It helps users stay organized with powerful email, contacts, and calendar management. - [Slack](https://composio.dev/toolkits/slack) - Slack is a channel-based messaging platform for teams and organizations. It helps people collaborate in real time, share files, and connect all their tools in one place. - [Gong](https://composio.dev/toolkits/gong) - Gong is a platform for video meetings, call recording, and team collaboration. It helps teams capture conversations, analyze calls, and turn insights into action. - [Microsoft teams](https://composio.dev/toolkits/microsoft_teams) - Microsoft Teams is a collaboration platform that combines chat, meetings, and file sharing within Microsoft 365. It keeps distributed teams connected and productive through seamless virtual communication. - [Slackbot](https://composio.dev/toolkits/slackbot) - Slackbot is a conversational automation tool for Slack that handles reminders, notifications, and automated responses. It boosts team productivity by streamlining onboarding, answering FAQs, and managing timely alerts—all right inside Slack. - [Agent mail](https://composio.dev/toolkits/agent_mail) - Agent mail provides AI agents with dedicated email inboxes for sending, receiving, and managing emails. It empowers agents to communicate autonomously with people, services, and other agents—no human intervention needed. - [Basecamp](https://composio.dev/toolkits/basecamp) - Basecamp is a project management and team collaboration tool by 37signals. It helps teams organize tasks, share files, and communicate efficiently in one place. - [Chatwork](https://composio.dev/toolkits/chatwork) - Chatwork is a team communication platform with group chats, file sharing, and task management. It helps businesses boost collaboration and streamline productivity. - [Clickmeeting](https://composio.dev/toolkits/clickmeeting) - ClickMeeting is a cloud-based platform for running online meetings and webinars. It helps businesses and individuals host, manage, and engage virtual audiences with ease. - [Confluence](https://composio.dev/toolkits/confluence) - Confluence is Atlassian's team collaboration and knowledge management platform. It helps your team organize, share, and update documents and project content in one secure workspace. - [Dailybot](https://composio.dev/toolkits/dailybot) - DailyBot streamlines team collaboration with chat-based standups, reminders, and polls. It keeps work flowing smoothly in your favorite messaging platforms. - [Dialmycalls](https://composio.dev/toolkits/dialmycalls) - Dialmycalls is a mass notification service for sending voice and text messages to contacts. It helps teams and organizations quickly broadcast urgent alerts and updates. - [Dialpad](https://composio.dev/toolkits/dialpad) - Dialpad is a cloud-based business phone and contact center system for teams. It unifies voice, video, messaging, and meetings across your devices. - [Discord](https://composio.dev/toolkits/discord) - Discord is a real-time messaging and VoIP platform for communities and teams. It lets users chat, share media, and collaborate across public and private channels. - [Discordbot](https://composio.dev/toolkits/discordbot) - Discordbot is an automation tool for Discord servers that handles moderation, messaging, and user engagement. It helps communities run smoothly by automating routine and complex tasks. - [Echtpost](https://composio.dev/toolkits/echtpost) - Echtpost is a secure digital communication platform for encrypted document and message exchange. It ensures confidential data stays private and protected during transmission. - [Egnyte](https://composio.dev/toolkits/egnyte) - Egnyte is a cloud-based platform for secure file sharing, storage, and governance. It helps teams collaborate efficiently while maintaining data compliance and security. - [Google Meet](https://composio.dev/toolkits/googlemeet) - Google Meet is a secure video conferencing platform for virtual meetings, chat, and screen sharing. It helps teams connect, collaborate, and communicate seamlessly from anywhere. - [Heartbeat](https://composio.dev/toolkits/heartbeat) - Heartbeat is a plug-and-play platform for building and managing online communities. It helps you organize users, channels, events, and discussions in one place. ## Frequently Asked Questions ### What are the differences in Tool Router MCP and 2chat MCP? With a standalone 2chat MCP server, the agents and LLMs can only access a fixed set of 2chat tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from 2chat 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 2chat tools. ### Can I manage the permissions and scopes for 2chat while using Tool Router? Yes, absolutely. You can configure which 2chat 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 2chat data and credentials are handled as safely as possible. --- [See all toolkits](https://composio.dev/toolkits) · [Composio docs](https://docs.composio.dev/llms.txt)