Telegram MCP: Connect your AI to your Telegram chats

by Sujay ChoubeyJul 24, 202611 min read
MCPAI Agents

TL;DR:

  • Connecting AI to Telegram via MCP turns your chat app into an active execution layer: read conversations, send messages, and manage groups using natural language.

  • Composio's managed integration handles token custody, zero-day log retention, and request routing via the Tool Router, with no auth code required.

  • The free tier covers 20,000 tool calls per month with no credit card required. You can be connected in under 30 minutes.

Connecting AI to Telegram can make it much easier to manage messages, groups, channels, and everyday communication tasks. The challenge is doing it without building custom authentication flows, handling session files, or maintaining a fragile script.

The Model Context Protocol provides a simpler way to connect an AI assistant to Telegram through a standard interface. With Composio’s managed Telegram integration, you can set up the connection securely and start using natural-language prompts to read conversations, send messages, manage groups, and automate routine work.

This guide walks through how to connect Telegram to your AI assistant using Composio, without writing OAuth code or managing the underlying integration yourself.

How to connect Telegram to ChatGPT

Step 1: Open the MCP settings

Open ChatGPT Work, go to Settings, then navigate to Plugins and select the MCP tab. This is where you'll manage external tool connections. → Settings → Plugins → MCP.

Step 2: Add the Composio MCP server

Click Add server and enter the following details:

→ Name: Composio
→ Type: Streamable HTTP
→ URL: https://connect.composio.dev/mcp

Click Save. Once saved, the Composio server will appear in your list of available MCP servers.

Step 3: Authenticate your Telegram account

Select Authenticate and sign in with your Composio account.

Step 4: Start using Telegram with ChatGPT

Once authentication is complete, your Telegram tools become available inside ChatGPT. You can now use natural language to manage chats, channels, groups, and messages without switching between apps. Simply describe what you want to do, and ChatGPT will carry out the action after any required confirmation.

What can you do with Telegram and ChatGPT?

Connecting Telegram to ChatGPT turns your messaging platform into something you can manage through conversation instead of manual clicks. Whether you're running a community, managing announcements, or simply staying on top of conversations, ChatGPT can help automate repetitive tasks while keeping you in control.

Some examples include:

  • Welcome new members automatically.

  • Send messages to groups or channels.

  • Forward announcements between chats.

  • Check group member counts.

  • View chat administrators.

  • Edit or update pinned messages.

  • Share documents, photos, locations, and polls.

  • Handle routine community management tasks using natural language.

Example prompt

"Manage my Telegram workspace chats today. Check for new messages, summarize any important conversations, welcome any new group members, let me know if there are announcements I should review, and draft responses for anything that needs my attention before sending."

How to connect Telegram to Claude Cowork

Step 1: Open the connectors menu

Open Claude Cowork, click Customize in the left sidebar, then select Connectors. Click the + icon at the top to add a new custom connector. → Customize → Connectors → +.

Step 2: Add the Composio MCP server

Select Add custom connector and enter the Composio MCP server URL:

https://connect.composio.dev/mcp

Click Connect to continue.

Step 3: Authorize Composio

Your browser will open automatically. Sign in to your Composio account and approve the requested permissions so Claude Cowork can securely access your connected applications. → Connect → Sign in → Authorize.

Step 4: Connect your Telegram account

Return to Claude Cowork and ask it to perform any Telegram-related task, such as sending a message or checking a group. Claude Cowork will prompt you to authenticate your Telegram account if it hasn't already been connected. Once approved, the integration is ready to use. → Ask Claude → Authenticate Telegram → Start using Telegram.

What can you do with Telegram and Claude Cowork?

Once Telegram is connected, Claude Cowork can manage your conversations and communities using natural language instead of manual actions. This makes it much easier to stay on top of busy groups, automate repetitive communication, and manage Telegram without constantly switching between windows.

Some examples include:

  • Welcome new members automatically.

  • Send or edit messages in chats and groups.

  • Forward announcements between chats.

  • Check group member counts.

  • View chat administrators.

  • Export invite links.

  • Send documents, photos, locations, and polls.

  • Help moderate and organize Telegram communities with simple prompts.

Example prompt

"Review my Telegram activity today. Summarize any important conversations, check if there are new group members to welcome, flag messages that need my attention, draft replies for unanswered questions, and prepare any announcements that should be shared with the group."

How to connect Telegram to Cursor

Step 1: Install Composio in Cursor

The quickest option is to click Install in Cursor on the Composio page, which automatically adds the Composio MCP server to your Cursor configuration. If you prefer, you can also configure it manually. → Install in Cursor.

Step 2: Add the Composio MCP server (manual method)

If you're installing manually, open your Cursor MCP configuration file:

→ Project-specific: .cursor/mcp.json
→ Global: ~/.cursor/mcp.json

Then add the following server configuration:

{
  "servers": {
    "composio": {
      "type": "http",
      "url": "https://connect.composio.dev/mcp"
    }
  }
}

Save the file once you've added the configuration.

Step 3: Authorize Composio

Restart Cursor and open MCP Tools. You'll see Composio listed with a Connect button. Click it to launch your browser, sign in to your Composio account, and approve the requested permissions. → Restart Cursor → MCP Tools → Connect → Authorize.

Step 4: Connect your Telegram account

Back in Cursor, ask the AI assistant to perform any Telegram-related task. Cursor will prompt you to authenticate your Telegram account if it hasn't already been connected. Once approved, Telegram is ready to use. → Ask Cursor → Authenticate Telegram → Start using Telegram.

What can you do with Telegram and Cursor?

Connecting Telegram to Cursor lets you build, test, and automate messaging workflows without leaving your development environment. Instead of manually switching between your code editor and Telegram, you can use natural language to manage chats, send updates, and automate routine community tasks while you work.

Some examples include:

  • Send welcome messages to new group members.

  • Forward announcements to admins or other groups.

  • Send and edit messages.

  • Check group member counts.

  • View chat administrators.

  • Export invite links.

  • Send documents, photos, locations, and polls.

  • Build and test Telegram-powered automations directly from Cursor.

Example prompt

"Help me manage my Telegram community. Check for any new messages, summarize the latest conversations, welcome new members, notify me of any unanswered questions, and draft responses for anything that needs my attention before sending."

How this connection can help with daily Telegram tasks

Spend less time checking every chat

Telegram can become difficult to manage once you are part of several groups, channels, and direct message threads. Even a quick check can turn into a long session of opening chats, scrolling through updates, and trying to work out which messages actually need a response. In fast-moving groups, there may already be hundreds of new updates, side conversations, and important questions buried in the middle by the time you open the app.

Connecting Telegram to an AI assistant gives you a faster way to catch up. You can ask for a summary of recent activity, a list of unanswered questions, a rundown of decisions made, or a quick overview of the conversations that matter most. Instead of reading everything in order, you can go straight to the messages that need your attention.

It also helps when you need to hand a conversation over to someone else. Instead of forwarding a long chat history, you can prepare a clear summary of what happened and what still needs to be done.

This is especially useful when you are returning after a meeting, starting work in the morning, or checking a busy community after being away for a few hours.

Handle repetitive admin work

A lot of Telegram work is made up of small tasks that are easy to do but time-consuming when repeated every day. This can include welcoming new members, replying to common questions, sending reminders, sharing links, posting updates, or forwarding the same information to several groups.

With the connection in place, you can give the assistant a simple instruction and let it help with the repetitive parts. For example, you could ask it to prepare a welcome message for new members, draft a reminder for an upcoming event, or rewrite one announcement for different groups.

You can still review everything before it is sent. The main difference is that you are no longer starting from a blank page or repeating the same steps over and over.

Keep groups and channels active

Running a Telegram group or channel takes more than posting the occasional announcement. You need to keep conversations moving, respond to questions, share useful updates, and make sure members do not feel ignored.

An AI assistant can help you stay more consistent with that work. It can draft announcements, suggest replies, turn rough notes into polished posts, and help you plan regular updates without spending as much time writing each one.

This can be useful for community managers, customer support teams, creators, educators, and businesses that use Telegram to communicate with customers or members.

Turn rough notes into ready-to-send updates

Not every Telegram message starts as a finished piece of writing. You may have rough notes, a quick idea, or a long internal update that needs to be shortened before it is shared.

The assistant can turn that material into a message that is clear and easy to read: give it meeting notes, a product update, a support announcement, or a list of changes and ask it to rewrite the content for a group or channel.

The same applies when you are replying to an existing conversation. You can ask for a draft response based on the context of the thread, then review and adjust it before sending. This is useful for customer questions, community replies, and situations where tone matters. You can ask for something friendly, direct, professional, or concise depending on the audience.

When the same update needs different versions, the assistant can adapt it without you rewriting from scratch. A customer group may need a simple explanation, while an internal team chat may need more detail. The result is faster writing without messages feeling rushed or generic.

Find old information faster

Important details often get buried in Telegram conversations. You may remember that someone shared a link, confirmed a deadline, or answered a question, but not where or when it happened.

Instead of manually searching through several chats, you can ask the assistant to help locate the relevant conversation and summarize what was said. This can save time when you need to check an old decision, find a shared resource, or confirm the latest version of an update.

It also makes Telegram more useful as a working tool, because information becomes easier to retrieve instead of disappearing into long message histories.

Keep updates consistent across different chats

When you manage several Telegram groups, it is easy for information to become inconsistent. One group may receive a full update, another may get an older version, and a third may be missed completely.

The assistant can help prepare one clear source message and then adapt it for each audience. You can keep the main information the same while changing the tone, length, or level of detail for different groups.

This reduces mistakes and makes it easier to keep customers, team members, and community members informed at the same time.

Make daily Telegram work easier to manage

The main benefit of the connection is not that it replaces every part of Telegram management. It simply removes some of the repetitive work around reading, writing, searching, and organizing messages.

You still decide what gets sent and how conversations are handled. The assistant helps with the parts that usually slow you down, so you can spend more time on the messages that actually need your judgment, attention, or personal input.

Get started with Telegram MCP in under 30 minutes

Start connecting Telegram to your AI assistant without managing tokens, session files, or OAuth flows. The free tier includes 20,000 tool calls per month with no credit card required.

FAQs

How much does it cost to run a Telegram MCP bot on Composio?

The free tier includes 20,000 tool calls per month at no cost. If your workflow scales beyond that, the next tier costs $29 per month for 50,000 tool calls.

What is the difference between MCP and a standard API integration?

A standard API integration requires you to write authentication logic, handle token refresh, parse raw responses, and maintain the code when the API changes. MCP standardizes how AI models call external tools, and we handle authentication, schema formatting, and API maintenance on your behalf, meaning your AI model can call Telegram the same way it calls any other tool with no provider-specific glue code.

Is Composio secure?

Composio is SOC 2 and ISO 27001 compliant with all data encrypted in transit and at rest.

Key terms glossary

Model Context Protocol (MCP): A universal connector that lets AI models securely read data and take actions across the apps you connect, like Telegram, Gmail, or Slack.

Tool Router: A Composio feature that dynamically inspects incoming AI requests and routes them to the correct application API without requiring hardcoded conditional logic in your agent code.

In-Chat Auth: A secure authentication flow where an AI agent provides a temporary Connect Link mid-conversation, allowing users to authorize application access without leaving the chat interface or exposing credentials to the model.

Bot API: Telegram's official, ToS-compliant interface for building automated bots, as distinct from the MTProto client protocol used by personal account automation tools like Telethon and Pyrogram.

Token custody: The practice of storing and managing API credentials in an encrypted, isolated environment rather than in plaintext on a local machine or inside application code.

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