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Telegram MCP by InsightfulPipe

Telegram MCP by InsightfulPipe

Remote
insightfulpipe.comCommunication0Updated 3w ago

About Telegram MCP by InsightfulPipe

Telegram MCP by InsightfulPipe is a hosted remote MCP server for AI assistants to read and manage Telegram messages, chats, channels, groups, and media through the Bot API. It offers read and write actions with per-account controls.

Key features

  1. 01Read chats, members, and bot details
  2. 02Send text, photos, audio, and video
  3. 03Edit, forward, copy, and delete messages
  4. 04Manage pinned messages and channel interactions
  5. 05Control available actions per account

Use cases

  1. 01Send a weekly update to an announcements channel
  2. 02Inspect a group or channel
  3. 03Pin the latest channel message

MCP support

The remote MCP server exposes Telegram read and write tools through the Bot API to MCP clients such as Claude, ChatGPT, and Cursor. Accounts can use read-only or read-and-write mode, with individual actions configurable.

Configuration

Remote servers need no local install. Pick your client, then copy the config or install in one click.

Endpointhttps://telegram.insightfulmcp.com/
Copy install command
Claude CodeTerminal
Cursor.cursor/mcp.json
VS Code.vscode/mcp.json
Claude Desktopclaude_desktop_config.json
Windsurf~/.codeium/windsurf/mcp_config.json

Run commands in a terminal; paste JSON into the client’s MCP config and restart. Servers that need sign-in will prompt on first connect.

Tools

Details

From the project README

Telegram MCP Server by Insightful Pipe

MCP Compatible Insightful Pipe License

Connect Telegram to AI assistants: send and manage messages through your Telegram bot.

Part of the Insightful Pipe MCP Server Collection — use Telegram from Claude, ChatGPT, Cursor, and other AI assistants through the Model Context Protocol (MCP).

Telegram MCP Server

MCP Server URL

https://telegram.insightfulmcp.com/

What is Telegram MCP?

Telegram MCP is a remote Model Context Protocol server hosted by InsightfulPipe. Access messages, chats, channels, groups, and media data from your Telegram bot via the Bot API.

Installation

Claude
  1. Copy the MCP Server URL: https://telegram.insightfulmcp.com/
  2. Open Claude Connectors Settings
  3. Scroll to the bottom and click Add custom connector
  4. Paste the URL and click Add
  5. Click Connect and sign in to InsightfulPipe if asked. Claude then lists the connector as connected.
ChatGPT

Custom MCP servers are added through ChatGPT's Developer mode. Availability depends on your ChatGPT plan, and workspace admins may need to allow it.

  1. Turn on Developer mode in ChatGPT settings
  2. Create a new app for a remote MCP server and paste the URL: https://telegram.insightfulmcp.com/
  3. Sign in to InsightfulPipe if asked. The connection finishes as soon as you are signed in.

See OpenAI's guide: Developer mode and MCP apps in ChatGPT

Claude Code
claude mcp add --transport http telegram https://telegram.insightfulmcp.com/
Cursor

Add the server to ~/.cursor/mcp.json (all projects) or .cursor/mcp.json (one project):

{
  "mcpServers": {
    "telegram": {
      "url": "https://telegram.insightfulmcp.com/"
    }
  }
}

When Cursor shows Needs authentication, click Connect and sign in to InsightfulPipe if asked.

Available Actions

24 actions: 9 read, 15 write.

Read Actions (9)
ActionDescription
get_chatGet detailed information about a chat (group, supergroup, channel, or private chat)
get_chat_memberGet information about a specific member of a chat
get_fileGet basic info about a file and prepare it for downloading
get_meGet basic information about the bot (id, name, username, capabilities)
get_my_commandsGet the list of the bot's default commands for a language
get_my_descriptionGet the bot's description for the given language
get_my_nameGet the bot's name for the given language
get_my_short_descriptionGet the bot's short description for the given language
get_user_profile_photosGet a user's profile photos
Write Actions (15)
ActionDescription
copy_messageCopy a message (sends a new message without 'Forwarded from' tag)
delete_messageDelete a message
edit_message_captionEdit the caption of a message sent by the bot
edit_message_textEdit the text of a message sent by the bot
forward_messageForward a message from one chat to another
pin_chat_messagePin a message in a chat
send_audioSend an audio file to a chat
send_contactSend a phone contact to a chat
send_locationSend a geographic location to a chat
send_messageSend a text message to a chat
send_photoSend a photo to a chat
send_pollSend a poll to a chat
send_videoSend a video to a chat
unpin_all_chat_messagesUnpin all pinned messages in a chat
unpin_chat_messageUnpin a message in a chat

Control What Your AI Can Do

You decide what AI agents can do with each connected account:

  • Turn individual actions on or off for every connected account, so agents only see the actions you allow.
  • Connect as Read-only or Read & Write. A read-only connection can only enable read actions.
  • Destructive actions stay off by default. Actions such as deletes are disabled until an admin enables them.
  • Team access per account. Restricted team members only use the accounts they are granted, with the read actions enabled on them.

Usage Examples

"Send this week's update to our announcements channel"
"Show details about this chat"
"Pin the latest message in the channel"

Pricing

The Telegram MCP server is included in every InsightfulPipe plan, together with all other MCP servers and the CLI. Plans start at $29.99/month, and you can try it for 7 days. See insightfulpipe.com/pricing for current plans.

Explore More MCP Servers by Insightful Pipe

Visit insightfulpipe.com/mcp-servers to discover our full collection of MCP servers.

View All MCP Servers →

Resources

Support


Insightful Pipe — AI-powered marketing analytics through MCP servers. Explore all integrations →

License

MIT License - see LICENSE for details.

Comments

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New to MCP?

From what the protocol is to installing your first server, these answers cover most first questions.

An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.