Telegram MCP Server

Overview

The Telegram MCP Server bridges the gap between conversational AI assistants and the rich feature set of Telegram. By exposing every major Telethon capability as an MCP tool, it allows developers to programmatically control chats, groups, channels, and contacts through natural language prompts. This eliminates the need for manual interaction with Telegram’s UI or custom scripting, enabling AI assistants to retrieve chat histories, send messages, manage group membership, and more—all within a single conversational flow.

Problem Solved

Telegram is one of the most widely used messaging platforms, yet its API access is fragmented and often requires boilerplate code. For AI assistants that aim to provide real‑time, context‑aware support (e.g., scheduling meetings or moderating group discussions), the lack of a unified, high‑level interface hampers productivity. The Telegram MCP Server resolves this by offering a consistent set of tools that map directly to Telethon’s functions, reducing development time and minimizing integration errors.

Core Value for AI Developers

Developers can now embed Telegram interactions into their agents without writing custom adapters. The server’s tool catalog covers chat management, messaging, contact handling, and administrative actions, all callable through the MCP’s standard request format. This streamlines workflows such as automated notifications, content moderation, or customer support bots that need to engage users on Telegram.

Key Features

• Comprehensive Toolset: Every major Telethon feature is available—chat listing, message retrieval, group creation, admin promotion, and more.
• Pagination & Filtering: Tools like and support page size limits, enabling efficient data handling.
• Rich Messaging Operations: From sending and editing messages to pinning and forwarding, the server covers the full messaging lifecycle.
• Administrative Controls: Promote/demote admins, ban/unban users, and manage invite links—all through simple tool calls.
• Contact Management: List, search, add, or delete contacts programmatically.

Real‑World Use Cases

• Automated Moderation: An AI can scan recent messages for policy violations and automatically delete or warn offending users.
• Event Coordination: The assistant can schedule events by creating a group, inviting participants, and posting reminders.
• Customer Support: Bots can retrieve conversation history to provide context‑aware responses or hand off tickets to human agents.
• Marketing Campaigns: Send targeted messages, manage broadcast lists, and track engagement metrics directly from the AI workflow.

Integration into AI Workflows

Once deployed, any MCP‑compatible client (Claude, Cursor, or custom agents) can call the Telegram tools via standard JSON requests. The server handles authentication with Telethon, executes actions on behalf of the user’s account, and returns structured responses. This seamless integration allows AI assistants to treat Telegram as a first‑class data source and action platform, enhancing conversational intelligence without compromising security or performance.

In summary, the Telegram MCP Server transforms a complex messaging ecosystem into an accessible, AI‑friendly interface, empowering developers to build sophisticated, Telegram‑centric applications with minimal effort.