# How to integrate 2chat MCP with Pydantic AI ```json { "title": "How to integrate 2chat MCP with Pydantic AI", "toolkit": "2chat", "toolkit_slug": "_2chat", "framework": "Pydantic AI", "framework_slug": "pydantic-ai", "url": "https://composio.dev/toolkits/_2chat/framework/pydantic-ai", "markdown_url": "https://composio.dev/toolkits/_2chat/framework/pydantic-ai.md", "updated_at": "2026-10-04T17:14:45.496Z" } ``` ## Introduction This guide walks you through connecting 2chat to Pydantic AI 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 Pydantic AI 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 - [Claude Code](https://composio.dev/toolkits/_2chat/framework/claude-code) - [Claude Cowork](https://composio.dev/toolkits/_2chat/framework/claude-cowork) - [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) - [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) - [Atomic Agent](https://composio.dev/toolkits/_2chat/framework/atomic-agent) - [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) - [CrewAI](https://composio.dev/toolkits/_2chat/framework/crew-ai) - [AutoGen](https://composio.dev/toolkits/_2chat/framework/autogen) ## TL;DR Here's what you'll learn: - How to set up your Composio API key and User ID - How to create a Composio Tool Router session for 2chat - How to attach an MCP Server to a Pydantic AI agent - How to stream responses and maintain chat history - How to build a simple REPL-style chat interface to test your 2chat workflows ## What is Pydantic AI? Pydantic AI is a Python framework for building AI agents with strong typing and validation. It leverages Pydantic's data validation capabilities to create robust, type-safe AI applications. Key features include: - Type Safety: Built on Pydantic for automatic data validation - MCP Support: Native support for Model Context Protocol servers - Streaming: Built-in support for streaming responses - Async First: Designed for async/await patterns ## 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 contacts, webhook subscriptions, API usage, and account information, so your agent can create contacts, list contacts, review webhook subscriptions, monitor API usage, and validate your API key on your behalf. - Contact creation: Have your agent add new contacts to your 2chat account. - Contact lookup: Let the agent list your existing 2chat contacts whenever you need them. - Webhook subscription review: Direct your agent to list configured webhook subscriptions for WhatsApp and phone call events. - API usage monitoring: Instruct your agent to retrieve your current API usage and account information. - API key validation: Have your agent test your 2chat API key and retrieve the related account information. ## 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 with an active API key - Basic familiarity with Python and async programming ### 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 Install the required libraries. What's happening: - composio connects your agent to external SaaS tools like 2chat - pydantic-ai lets you create structured AI agents with tool support - python-dotenv loads your environment variables securely from a .env file ```bash pip install composio pydantic-ai python-dotenv ``` ### 3. Set up environment variables Create a .env file in your project root. What's happening: - COMPOSIO_API_KEY authenticates your agent to Composio's API - USER_ID associates your session with your account for secure tool access - OPENAI_API_KEY to access OpenAI LLMs ```bash COMPOSIO_API_KEY=your_composio_api_key_here USER_ID=your_user_id_here OPENAI_API_KEY=your_openai_api_key ``` ### 4. Import dependencies What's happening: - We load environment variables and import required modules - Composio manages connections to 2chat - MCPServerStreamableHTTP connects to the 2chat MCP server endpoint - Agent from Pydantic AI lets you define and run the AI assistant ```python import asyncio import os from dotenv import load_dotenv from composio import Composio from pydantic_ai import Agent from pydantic_ai.mcp import MCPServerStreamableHTTP load_dotenv() ``` ### 5. Create a Tool Router Session What's happening: - We're creating a Tool Router session that gives your agent access to 2chat tools - The create method takes the user ID and specifies which toolkits should be available - The returned session.mcp.url is the MCP server URL that your agent will use ```python async def main(): api_key = os.getenv("COMPOSIO_API_KEY") user_id = os.getenv("USER_ID") if not api_key or not user_id: raise RuntimeError("Set COMPOSIO_API_KEY and USER_ID in your environment") # Create a Composio Tool Router session for 2chat composio = Composio(api_key=api_key) session = composio.create( user_id=user_id, toolkits=["_2chat"], ) url = session.mcp.url if not url: raise ValueError("Composio session did not return an MCP URL") ``` ### 6. Initialize the Pydantic AI Agent What's happening: - The MCP client connects to the 2chat endpoint - The agent uses GPT-5 to interpret user commands and perform 2chat operations - The instructions field defines the agent's role and behavior ```python # Attach the MCP server to a Pydantic AI Agent _2chat_mcp = MCPServerStreamableHTTP(url, headers={"x-api-key": COMPOSIO_API_KEY}) agent = Agent( "openai:gpt-5", toolsets=[_2chat_mcp], instructions=( "You are a 2chat assistant. Use 2chat tools to help users " "with their requests. Ask clarifying questions when needed." ), ) ``` ### 7. Build the chat interface What's happening: - The agent reads input from the terminal and streams its response - 2chat API calls happen automatically under the hood - The model keeps conversation history to maintain context across turns ```python # Simple REPL with message history history = [] print("Chat started! Type 'exit' or 'quit' to end.\n") print("Try asking the agent to help you with 2chat.\n") while True: user_input = input("You: ").strip() if user_input.lower() in {"exit", "quit", "bye"}: print("\nGoodbye!") break if not user_input: continue print("\nAgent is thinking...\n", flush=True) async with agent.run_stream(user_input, message_history=history) as stream_result: collected_text = "" async for chunk in stream_result.stream_output(): text_piece = None if isinstance(chunk, str): text_piece = chunk elif hasattr(chunk, "delta") and isinstance(chunk.delta, str): text_piece = chunk.delta elif hasattr(chunk, "text"): text_piece = chunk.text if text_piece: collected_text += text_piece result = stream_result print(f"Agent: {collected_text}\n") history = result.all_messages() ``` ### 8. Run the application What's happening: - The asyncio loop launches the agent and keeps it running until you exit ```python if __name__ == "__main__": asyncio.run(main()) ``` ## Complete Code ```python import asyncio import os from dotenv import load_dotenv from composio import Composio from pydantic_ai import Agent from pydantic_ai.mcp import MCPServerStreamableHTTP load_dotenv() async def main(): api_key = os.getenv("COMPOSIO_API_KEY") user_id = os.getenv("USER_ID") if not api_key or not user_id: raise RuntimeError("Set COMPOSIO_API_KEY and USER_ID in your environment") # Create a Composio Tool Router session for 2chat composio = Composio(api_key=api_key) session = composio.create( user_id=user_id, toolkits=["_2chat"], ) url = session.mcp.url if not url: raise ValueError("Composio session did not return an MCP URL") # Attach the MCP server to a Pydantic AI Agent _2chat_mcp = MCPServerStreamableHTTP(url, headers={"x-api-key": COMPOSIO_API_KEY}) agent = Agent( "openai:gpt-5", toolsets=[_2chat_mcp], instructions=( "You are a 2chat assistant. Use 2chat tools to help users " "with their requests. Ask clarifying questions when needed." ), ) # Simple REPL with message history history = [] print("Chat started! Type 'exit' or 'quit' to end.\n") print("Try asking the agent to help you with 2chat.\n") while True: user_input = input("You: ").strip() if user_input.lower() in {"exit", "quit", "bye"}: print("\nGoodbye!") break if not user_input: continue print("\nAgent is thinking...\n", flush=True) async with agent.run_stream(user_input, message_history=history) as stream_result: collected_text = "" async for chunk in stream_result.stream_output(): text_piece = None if isinstance(chunk, str): text_piece = chunk elif hasattr(chunk, "delta") and isinstance(chunk.delta, str): text_piece = chunk.delta elif hasattr(chunk, "text"): text_piece = chunk.text if text_piece: collected_text += text_piece result = stream_result print(f"Agent: {collected_text}\n") history = result.all_messages() if __name__ == "__main__": asyncio.run(main()) ``` ## Conclusion You've built a Pydantic AI agent that can interact with 2chat through Composio's Tool Router. With this setup, your agent can perform real 2chat actions through natural language. You can extend this further by: - Adding other toolkits like Gmail, HubSpot, or Salesforce - Building a web-based chat interface around this agent - Using multiple MCP endpoints to enable cross-app workflows (for example, Gmail + 2chat for workflow automation) This architecture makes your AI agent "agent-native", able to securely use APIs in a unified, composable way without custom integrations. ## How to build 2chat MCP Agent with another framework - [Claude Code](https://composio.dev/toolkits/_2chat/framework/claude-code) - [Claude Cowork](https://composio.dev/toolkits/_2chat/framework/claude-cowork) - [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) - [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) - [Atomic Agent](https://composio.dev/toolkits/_2chat/framework/atomic-agent) - [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) - [CrewAI](https://composio.dev/toolkits/_2chat/framework/crew-ai) - [AutoGen](https://composio.dev/toolkits/_2chat/framework/autogen) ## 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. - [Aircall](https://composio.dev/toolkits/aircall) - Aircall is a cloud-based phone and call-center platform for business communications. It centralizes calls, contacts, teams, numbers, and tags in one place. - [Android Texter](https://composio.dev/toolkits/android_texter) - Android Texter is an API service that connects Android phones to SMS, MMS, contacts, and device data. Use it to automate mobile messaging without building your own phone-to-API bridge. - [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. - [Blooio](https://composio.dev/toolkits/blooio) - Blooio is a stable v2 API platform for messaging, chats, contacts, groups, phone numbers, and account analytics. It gives teams a clean way to build reliable communication workflows without stitching together fragile custom APIs. - [Callback24](https://composio.dev/toolkits/callback24) - Callback24 is a telephony API for managing phone calls, users, services, and routing groups. It centralizes call control and routing to automate voice workflows and operations. - [CallOnTheGo](https://composio.dev/toolkits/callonthego) - CallOnTheGo is a telephony API for managing phone numbers, caller IDs, suppression lists, audio assets, contact lists, and Voice AI campaigns. It provides programmatic control over calling infrastructure and campaign automation for scalable voice outreach. - [Carbon Voice MCP](https://composio.dev/toolkits/carbon_voice_mcp) - Carbon Voice MCP is a voice-first collaboration platform for messages, conversations, and workflows. Use it to centralize voice communications and streamline team collaboration. - [CardClan](https://composio.dev/toolkits/cardclan) - CardClan is a digital card platform for creating and sending personalized team cards. Use it to celebrate moments, share card links, and manage card workflows without extra coordination. - [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. - [Daily](https://composio.dev/toolkits/daily) - Daily is a WebRTC video and audio API platform for building rooms, meetings, recordings, live streams, transcriptions, and telephony. It gives developers reliable real-time media infrastructure without managing complex conferencing stacks. - [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. ## 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 Pydantic AI? Yes, you can. Pydantic 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 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)