MCP Server for Telegram
This MCP server allows Large Language Models to control Telegram, supporting message sending, editing, deleting, search, media downloads, and drafts, all through the Model Context Protocol (MCP). Built with Telethon, it provides a seamless interface for AI agents to interact with Telegram chats and channels, facilitating automation and advanced messaging features.
Added on:
Created by:
Apr 20 2025
This MCP server allows Large Language Models to control Telegram, supporting message sending, editing, deleting, search, media downloads, and drafts, all through the Model Context Protocol (MCP). Built with Telethon, it provides a seamless interface for AI agents to interact with Telegram chats and channels, facilitating automation and advanced messaging features.
Added on:
Created by:
Apr 20 2025
Yeabsira Driba
Featured
What is MCP Server for Telegram?
The MCP Server for Telegram bridges AI language models and Telegram by implementing the Model Context Protocol, enabling automated and programmatic control over Telegram messaging, media handling, and chat management. It leverages Telethon to interact with Telegram's MTProto API, supporting features like sending, editing, deleting messages, chat search, media downloads, and draft management. This allows developers to build intelligent bots that can navigate conversations, manage content, and perform complex messaging tasks efficiently, making it suitable for automation, research, and AI-driven communication applications.
Who will use MCP Server for Telegram?
- AI developers
- Chatbot creators
- Research institutions
- Automation engineers
- Telegram bot developers
How to use the MCP Server for Telegram?
- Step1: Install the MCP-telegram CLI tool using 'uv tool install mcp-telegram'
- Step2: Authenticate by running 'mcp-telegram login' and providing your Telegram API credentials
- Step3: Configure your MCP client with your server details and API credentials
- Step4: Connect to the MCP server from your MCP client or application
- Step5: Use available tools like 'send_message', 'search_dialogs', or 'media_download' to interact with Telegram
MCP Server for Telegram's Core Features & Benefits
The Core Features
- send_message
- edit_message
- delete_message
- get_messages
- search_dialogs
- message_from_link
- get_draft
- set_draft
- media_download
The Benefits
- Enables AI-driven messaging and chat management
- Automates content creation and retrieval
- Supports media handling and chat search
- Facilitates seamless integration with Telegram via MCP
- Enhances chatbot interaction capabilities
MCP Server for Telegram's Main Use Cases & Applications
- AI-powered chatbots for customer service and support
- Automated group and channel management
- Research projects involving chat analysis
- Content moderation automation
- Media and message archival solutions
FAQs of MCP Server for Telegram
Developer
You may also like:
Research And Data
A chat-based client that integrates and uses various MCP tools directly within a chat environment for enhanced productivity.
A Docker image hosting multiple MCP servers accessible through a unified entry point with supergateway integration.
A minimalistic MCP client with essential chat features, supporting multiple models and contextual interactions.
A Model Context Protocol server for Eagle that manages data exchange between Eagle app and data sources.
A server accessing League of Legends game data via the Live Client Data API, providing real-time in-game information.
A Spring-based MCP server integrating AI capabilities for managing and processing Minecraft mod communication protocols.
A Python client for managing multiple MCP servers with support for various transports and server types.
A server connecting PatentSafe to retrieve documents via Lucene queries for patent data analysis.
An Android-native MCP client enabling multiplayer connectivity for Minecraft Pocket Edition.
Enables AI to manage Kubernetes applications by creating high-level modules, reducing misconfigurations and boosting deployment speed.
Communication
A server enabling access to Microsoft 365 mail, calendar, and files via MCP protocol for Claude Desktop.
A server that leverages AI and WhatsApp API to enhance messaging capabilities and automation.
A server integrating LINE Messaging API to connect AI Agents with LINE Official Accounts, enabling message exchange and user profile retrieval.
A server that manages airtime top-ups and transactions using Africa's Talking API for multiple African countries.
A server implementation for MCP with HTTP interface, providing core communication functionalities.
A Python-based client facilitating communication between various components via messaging protocols.
A protocol to enable AI-driven operations and integrations within Chatwork via customizable MCP configurations.
A Python-based MCP that integrates a Gemini client with an MCP server to facilitate communication and data exchange.
Enables DingTalk integration by implementing MCP for communication, data exchange, and automation within DingTalk ecosystem.
A customized MCP client designed for study, based on dolphin-mcp, supporting resource management and communication.
AI Chatbot
Enables generation of lyrics, songs, and instrumental background music through interaction with powerful APIs.
An integrated server that enables quick TinyPNG image compression through Large Language Models (LLMs).
A server for managing and analyzing pull requests using the MCP framework, enhancing code review efficiency.
A Node.js and TypeScript-based MCP server enabling AI model communication in a serverless Azure environment.
A simple MCP for integrating Anki with AI assistance for flashcard creation and study management.
A client facilitating function calling integrations with Huawei's functions SDK for efficient API interactions.
Integrates APIs, AI, and automation to enhance server and client functionalities dynamically.
Provides long-term memory for LLMs by storing and retrieving contextual information via MCP standards.
An advanced clinical evidence analysis server supporting precision medicine and oncology research with flexible search options.
A platform collecting A2A agents, tools, servers, and clients for effective agent communication and collaboration.