# How to integrate Telegram MCP with Vercel AI SDK v6 ```json { "title": "How to integrate Telegram MCP with Vercel AI SDK v6", "toolkit": "Telegram", "toolkit_slug": "telegram", "framework": "Vercel AI SDK", "framework_slug": "ai-sdk", "url": "https://composio.dev/toolkits/telegram/framework/ai-sdk", "markdown_url": "https://composio.dev/toolkits/telegram/framework/ai-sdk.md", "updated_at": "2026-05-06T08:30:55.761Z" } ``` ## Introduction This guide walks you through connecting Telegram to Vercel AI SDK v6 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 Vercel AI SDK 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) - [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 and configure a Vercel AI SDK agent with Telegram integration - Using Composio's Tool Router to dynamically load and access Telegram tools - Creating an MCP client connection using HTTP transport - Building an interactive CLI chat interface with conversation history management - Handling tool calls and results within the Vercel AI SDK framework ## What is Vercel AI SDK? The Vercel AI SDK is a TypeScript library for building AI-powered applications. It provides tools for creating agents that can use external services and maintain conversation state. Key features include: - streamText: Core function for streaming responses with real-time tool support - MCP Client: Built-in support for Model Context Protocol via @ai-sdk/mcp - Step Counting: Control multi-step tool execution with stopWhen: stepCountIs() - OpenAI Provider: Native integration with OpenAI models ## 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 you begin, make sure you have: - Node.js and npm installed - A Composio account with API key - An OpenAI API key ### 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 required dependencies First, install the necessary packages for your project. What you're installing: - @ai-sdk/openai: Vercel AI SDK's OpenAI provider - @ai-sdk/mcp: MCP client for Vercel AI SDK - @composio/core: Composio SDK for tool integration - ai: Core Vercel AI SDK - dotenv: Environment variable management ```bash npm install @ai-sdk/openai @ai-sdk/mcp @composio/core ai dotenv ``` ### 3. Set up environment variables Create a .env file in your project root. What's needed: - OPENAI_API_KEY: Your OpenAI API key for GPT model access - COMPOSIO_API_KEY: Your Composio API key for tool access - COMPOSIO_USER_ID: A unique identifier for the user session ```bash OPENAI_API_KEY=your_openai_api_key_here COMPOSIO_API_KEY=your_composio_api_key_here COMPOSIO_USER_ID=your_user_id_here ``` ### 4. Import required modules and validate environment What's happening: - We're importing all necessary libraries including Vercel AI SDK's OpenAI provider and Composio - The dotenv/config import automatically loads environment variables - The MCP client import enables connection to Composio's tool server ```typescript import "dotenv/config"; import { openai } from "@ai-sdk/openai"; import { Composio } from "@composio/core"; import * as readline from "readline"; import { streamText, type ModelMessage, stepCountIs } from "ai"; import { createMCPClient } from "@ai-sdk/mcp"; const composioAPIKey = process.env.COMPOSIO_API_KEY; const composioUserID = process.env.COMPOSIO_USER_ID; if (!process.env.OPENAI_API_KEY) throw new Error("OPENAI_API_KEY is not set"); if (!composioAPIKey) throw new Error("COMPOSIO_API_KEY is not set"); if (!composioUserID) throw new Error("COMPOSIO_USER_ID is not set"); const composio = new Composio({ apiKey: composioAPIKey, }); ``` ### 5. Create Tool Router session and initialize MCP client 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 mcp object contains the URL and authentication headers needed to connect to the MCP server - This session provides access to all Telegram-related tools through the MCP protocol ```typescript async function main() { // Create a tool router session for the user const session = await composio.create(composioUserID!, { toolkits: ["telegram"], }); const mcpUrl = session.mcp.url; ``` ### 6. Connect to MCP server and retrieve tools What's happening: - We're creating an MCP client that connects to our Composio Tool Router session via HTTP - The mcp.url provides the endpoint, and mcp.headers contains authentication credentials - The type: "http" is important - Composio requires HTTP transport - tools() retrieves all available Telegram tools that the agent can use ```typescript const mcpClient = await createMCPClient({ transport: { type: "http", url: mcpUrl, headers: session.mcp.headers, // Authentication headers for the Composio MCP server }, }); const tools = await mcpClient.tools(); ``` ### 7. Initialize conversation and CLI interface What's happening: - We initialize an empty messages array to maintain conversation history - A readline interface is created to accept user input from the command line - Instructions are displayed to guide the user on how to interact with the agent ```typescript let messages: ModelMessage[] = []; console.log("Chat started! Type 'exit' or 'quit' to end the conversation.\n"); console.log( "Ask any questions related to telegram, like summarize my last 5 emails, send an email, etc... :)))\n", ); const rl = readline.createInterface({ input: process.stdin, output: process.stdout, prompt: "> ", }); rl.prompt(); ``` ### 8. Handle user input and stream responses with real-time tool feedback What's happening: - We use streamText instead of generateText to stream responses in real-time - toolChoice: "auto" allows the model to decide when to use Telegram tools - stopWhen: stepCountIs(10) allows up to 10 steps for complex multi-tool operations - onStepFinish callback displays which tools are being used in real-time - We iterate through the text stream to create a typewriter effect as the agent responds - The complete response is added to conversation history to maintain context - Errors are caught and displayed with helpful retry suggestions ```typescript rl.on("line", async (userInput: string) => { const trimmedInput = userInput.trim(); if (["exit", "quit", "bye"].includes(trimmedInput.toLowerCase())) { console.log("\nGoodbye!"); rl.close(); process.exit(0); } if (!trimmedInput) { rl.prompt(); return; } messages.push({ role: "user", content: trimmedInput }); console.log("\nAgent is thinking...\n"); try { const stream = streamText({ model: openai("gpt-5"), messages, tools, toolChoice: "auto", stopWhen: stepCountIs(10), onStepFinish: (step) => { for (const toolCall of step.toolCalls) { console.log(`[Using tool: ${toolCall.toolName}]`); } if (step.toolCalls.length > 0) { console.log(""); // Add space after tool calls } }, }); for await (const chunk of stream.textStream) { process.stdout.write(chunk); } console.log("\n\n---\n"); // Get final result for message history const response = await stream.response; if (response?.messages?.length) { messages.push(...response.messages); } } catch (error) { console.error("\nAn error occurred while talking to the agent:"); console.error(error); console.log( "\nYou can try again or restart the app if it keeps happening.\n", ); } finally { rl.prompt(); } }); rl.on("close", async () => { await mcpClient.close(); console.log("\n👋 Session ended."); process.exit(0); }); } main().catch((err) => { console.error("Fatal error:", err); process.exit(1); }); ``` ## Complete Code ```typescript import "dotenv/config"; import { openai } from "@ai-sdk/openai"; import { Composio } from "@composio/core"; import * as readline from "readline"; import { streamText, type ModelMessage, stepCountIs } from "ai"; import { createMCPClient } from "@ai-sdk/mcp"; const composioAPIKey = process.env.COMPOSIO_API_KEY; const composioUserID = process.env.COMPOSIO_USER_ID; if (!process.env.OPENAI_API_KEY) throw new Error("OPENAI_API_KEY is not set"); if (!composioAPIKey) throw new Error("COMPOSIO_API_KEY is not set"); if (!composioUserID) throw new Error("COMPOSIO_USER_ID is not set"); const composio = new Composio({ apiKey: composioAPIKey, }); async function main() { // Create a tool router session for the user const session = await composio.create(composioUserID!, { toolkits: ["telegram"], }); const mcpUrl = session.mcp.url; const mcpClient = await createMCPClient({ transport: { type: "http", url: mcpUrl, headers: session.mcp.headers, // Authentication headers for the Composio MCP server }, }); const tools = await mcpClient.tools(); let messages: ModelMessage[] = []; console.log("Chat started! Type 'exit' or 'quit' to end the conversation.\n"); console.log( "Ask any questions related to telegram, like summarize my last 5 emails, send an email, etc... :)))\n", ); const rl = readline.createInterface({ input: process.stdin, output: process.stdout, prompt: "> ", }); rl.prompt(); rl.on("line", async (userInput: string) => { const trimmedInput = userInput.trim(); if (["exit", "quit", "bye"].includes(trimmedInput.toLowerCase())) { console.log("\nGoodbye!"); rl.close(); process.exit(0); } if (!trimmedInput) { rl.prompt(); return; } messages.push({ role: "user", content: trimmedInput }); console.log("\nAgent is thinking...\n"); try { const stream = streamText({ model: openai("gpt-5"), messages, tools, toolChoice: "auto", stopWhen: stepCountIs(10), onStepFinish: (step) => { for (const toolCall of step.toolCalls) { console.log(`[Using tool: ${toolCall.toolName}]`); } if (step.toolCalls.length > 0) { console.log(""); // Add space after tool calls } }, }); for await (const chunk of stream.textStream) { process.stdout.write(chunk); } console.log("\n\n---\n"); // Get final result for message history const response = await stream.response; if (response?.messages?.length) { messages.push(...response.messages); } } catch (error) { console.error("\nAn error occurred while talking to the agent:"); console.error(error); console.log( "\nYou can try again or restart the app if it keeps happening.\n", ); } finally { rl.prompt(); } }); rl.on("close", async () => { await mcpClient.close(); console.log("\n👋 Session ended."); process.exit(0); }); } main().catch((err) => { console.error("Fatal error:", err); process.exit(1); }); ``` ## Conclusion You've successfully built a Telegram agent using the Vercel AI SDK with streaming capabilities! This implementation provides a powerful foundation for building AI applications with natural language interfaces and real-time feedback. Key features of this implementation: - Real-time streaming responses for a better user experience with typewriter effect - Live tool execution feedback showing which tools are being used as the agent works - Dynamic tool loading through Composio's Tool Router with secure authentication - Multi-step tool execution with configurable step limits (up to 10 steps) - Comprehensive error handling for robust agent execution - Conversation history maintenance for context-aware responses You can extend this further by adding custom error handling, implementing specific business logic, or integrating additional Composio toolkits to create multi-app workflows. ## 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) - [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 Vercel AI SDK v6? Yes, you can. Vercel AI SDK v6 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)