# How to integrate Telegram MCP with Pydantic AI ```json { "title": "How to integrate Telegram MCP with Pydantic AI", "toolkit": "Telegram", "toolkit_slug": "telegram", "framework": "Pydantic AI", "framework_slug": "pydantic-ai", "url": "https://composio.dev/toolkits/telegram/framework/pydantic-ai", "markdown_url": "https://composio.dev/toolkits/telegram/framework/pydantic-ai.md", "updated_at": "2026-05-06T08:30:55.761Z" } ``` ## Introduction This guide walks you through connecting Telegram to Pydantic AI using the Composio tool router. By the end, you'll have a working Telegram agent that can send a welcome message to new group members, forward latest announcement to all admins, get total member count of your group through natural language commands. This guide will help you understand how to give your Pydantic AI agent real control over a Telegram account through Composio's Telegram MCP server. Before we dive in, let's take a quick look at the key ideas and tools involved. ## Also integrate Telegram with - [ChatGPT](https://composio.dev/toolkits/telegram/framework/chatgpt) - [OpenAI Agents SDK](https://composio.dev/toolkits/telegram/framework/open-ai-agents-sdk) - [Claude Agent SDK](https://composio.dev/toolkits/telegram/framework/claude-agents-sdk) - [Claude Code](https://composio.dev/toolkits/telegram/framework/claude-code) - [Claude Cowork](https://composio.dev/toolkits/telegram/framework/claude-cowork) - [Codex](https://composio.dev/toolkits/telegram/framework/codex) - [Cursor](https://composio.dev/toolkits/telegram/framework/cursor) - [VS Code](https://composio.dev/toolkits/telegram/framework/vscode) - [OpenCode](https://composio.dev/toolkits/telegram/framework/opencode) - [OpenClaw](https://composio.dev/toolkits/telegram/framework/openclaw) - [Hermes](https://composio.dev/toolkits/telegram/framework/hermes-agent) - [CLI](https://composio.dev/toolkits/telegram/framework/cli) - [Google ADK](https://composio.dev/toolkits/telegram/framework/google-adk) - [LangChain](https://composio.dev/toolkits/telegram/framework/langchain) - [Vercel AI SDK](https://composio.dev/toolkits/telegram/framework/ai-sdk) - [Mastra AI](https://composio.dev/toolkits/telegram/framework/mastra-ai) - [LlamaIndex](https://composio.dev/toolkits/telegram/framework/llama-index) - [CrewAI](https://composio.dev/toolkits/telegram/framework/crew-ai) ## 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 Telegram - 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 Telegram 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 Telegram MCP server, and what's possible with it? The Telegram MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Telegram account. It provides structured and secure access to your chats and bot functionality, so your agent can send messages, manage conversations, retrieve chat data, and interact with users or groups on your behalf. - Automated message sending and editing: Let your agent send new messages or edit existing ones in any chat where your bot is present, making real-time communication a breeze. - Chat and group management: Effortlessly manage group chats by retrieving chat details, getting administrators, exporting invite links, or counting group members. - Advanced chat history and message handling: Ask your agent to fetch chat history, forward messages between chats, or delete messages for streamlined moderation and record-keeping. - Bot and user interaction: Enable the agent to answer callback queries from inline keyboards and fetch basic bot information for smarter, context-aware responses. ## Supported Tools | Tool slug | Name | Description | |---|---|---| | `TELEGRAM_ANSWER_CALLBACK_QUERY` | Answer Callback Query | Use this method to send answers to callback queries sent from inline keyboards. the answer will be displayed to the user as a notification at the top of the chat screen or as an alert. | | `TELEGRAM_DELETE_MESSAGE` | Delete Message | Delete a message, including service messages, with certain limitations. | | `TELEGRAM_EDIT_MESSAGE` | Edit Message | Edit text messages sent by the bot. | | `TELEGRAM_EXPORT_CHAT_INVITE_LINK` | Export Chat Invite Link | Generate a new primary invite link for a chat; any previously generated primary link is revoked. the bot must be an administrator in the chat for this to work and must have the appropriate administrator rights. | | `TELEGRAM_FORWARD_MESSAGE` | Forward Message | Forward messages of any kind. service messages can't be forwarded. | | `TELEGRAM_GET_CHAT` | Get Chat Info | Get up to date information about the chat (current name of the user for one-on-one conversations, current username of a user, group or channel, etc.). | | `TELEGRAM_GET_CHAT_ADMINISTRATORS` | Get Chat Administrators | Get a list of administrators in a chat. on success, returns an array of chatmember objects that contains information about all chat administrators except other bots. | | `TELEGRAM_GET_CHAT_HISTORY` | Get Chat History | Get chat history messages. note: this uses the getupdates method with specific parameters to retrieve historical messages. | | `TELEGRAM_GET_CHAT_MEMBERS_COUNT` | Get Chat Members Count | Get the number of members in a chat. the bot must be an administrator in the chat for this to work. | | `TELEGRAM_GET_ME` | Get Bot Info | Get basic information about the bot using the bot api getme method. | | `TELEGRAM_GET_UPDATES` | Get Updates | Use this method to receive incoming updates using long polling. an array of update objects is returned. | | `TELEGRAM_SEND_DOCUMENT` | Send Document | Send general files (documents) to a telegram chat using the bot api. | | `TELEGRAM_SEND_LOCATION` | Send Location | Send point on the map location to a telegram chat using the bot api. | | `TELEGRAM_SEND_MESSAGE` | Send Message | Send a text message to a telegram chat using the bot api. | | `TELEGRAM_SEND_PHOTO` | Send Photo | Send photos to a telegram chat using the bot api. | | `TELEGRAM_SEND_POLL` | Send Poll | Send a native poll to a telegram chat using the bot api. | | `TELEGRAM_SET_MY_COMMANDS` | Set Bot Commands | Use this method to change the list of the bot's commands. see https://core.telegram.org/bots#commands for more details about bot commands. | ## Supported Triggers None listed. ## Creating MCP Server - Stand-alone vs Composio SDK The Telegram MCP server is an implementation of the Model Context Protocol that connects your AI agent to Telegram. It provides structured and secure access so your agent can perform Telegram 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 Telegram - 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 Telegram - MCPServerStreamableHTTP connects to the Telegram 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 Telegram 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 Telegram composio = Composio(api_key=api_key) session = composio.create( user_id=user_id, toolkits=["telegram"], ) 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 Telegram endpoint - The agent uses GPT-5 to interpret user commands and perform Telegram operations - The instructions field defines the agent's role and behavior ```python # Attach the MCP server to a Pydantic AI Agent telegram_mcp = MCPServerStreamableHTTP(url, headers={"x-api-key": COMPOSIO_API_KEY}) agent = Agent( "openai:gpt-5", toolsets=[telegram_mcp], instructions=( "You are a Telegram assistant. Use Telegram 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 - Telegram 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 Telegram.\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 Telegram composio = Composio(api_key=api_key) session = composio.create( user_id=user_id, toolkits=["telegram"], ) 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 telegram_mcp = MCPServerStreamableHTTP(url, headers={"x-api-key": COMPOSIO_API_KEY}) agent = Agent( "openai:gpt-5", toolsets=[telegram_mcp], instructions=( "You are a Telegram assistant. Use Telegram 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 Telegram.\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 Telegram through Composio's Tool Router. With this setup, your agent can perform real Telegram 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 + Telegram 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 Telegram MCP Agent with another framework - [ChatGPT](https://composio.dev/toolkits/telegram/framework/chatgpt) - [OpenAI Agents SDK](https://composio.dev/toolkits/telegram/framework/open-ai-agents-sdk) - [Claude Agent SDK](https://composio.dev/toolkits/telegram/framework/claude-agents-sdk) - [Claude Code](https://composio.dev/toolkits/telegram/framework/claude-code) - [Claude Cowork](https://composio.dev/toolkits/telegram/framework/claude-cowork) - [Codex](https://composio.dev/toolkits/telegram/framework/codex) - [Cursor](https://composio.dev/toolkits/telegram/framework/cursor) - [VS Code](https://composio.dev/toolkits/telegram/framework/vscode) - [OpenCode](https://composio.dev/toolkits/telegram/framework/opencode) - [OpenClaw](https://composio.dev/toolkits/telegram/framework/openclaw) - [Hermes](https://composio.dev/toolkits/telegram/framework/hermes-agent) - [CLI](https://composio.dev/toolkits/telegram/framework/cli) - [Google ADK](https://composio.dev/toolkits/telegram/framework/google-adk) - [LangChain](https://composio.dev/toolkits/telegram/framework/langchain) - [Vercel AI SDK](https://composio.dev/toolkits/telegram/framework/ai-sdk) - [Mastra AI](https://composio.dev/toolkits/telegram/framework/mastra-ai) - [LlamaIndex](https://composio.dev/toolkits/telegram/framework/llama-index) - [CrewAI](https://composio.dev/toolkits/telegram/framework/crew-ai) ## 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. - [2chat](https://composio.dev/toolkits/_2chat) - 2chat is an API platform for WhatsApp and multichannel text messaging. It streamlines chat automation, group management, and real-time messaging for developers. - [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. ## Frequently Asked Questions ### What are the differences in Tool Router MCP and Telegram MCP? With a standalone Telegram MCP server, the agents and LLMs can only access a fixed set of Telegram tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from Telegram 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 Telegram tools. ### Can I manage the permissions and scopes for Telegram while using Tool Router? Yes, absolutely. You can configure which Telegram 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 Telegram data and credentials are handled as safely as possible. --- [See all toolkits](https://composio.dev/toolkits) · [Composio docs](https://docs.composio.dev/llms.txt)