mcp-telegram — MCP Server by dryeab

by dryeab · MCP Server · ★ 247

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About mcp-telegram

Enable LLMs to control your Telegram Connect Large Language Models to Telegram via the Model Context Protocol (MCP). Built with Telethon, this server allows AI agents to interact with Telegram, enabling features like sending/editing/deleting messages, searching chats, managing drafts, downloading media, and more using the MTProto. Table of Contents 🚀 Getting Started Prerequisites Installation ⚙️ Usage Login Connect to the MCP server 🧰 Available Tools 📨 Messaging Tools 🔍 Search & Navigation [📝 Draft M

aianthropicanthropic-claudebotclaudecursorllmmcpmodel-context-protocolmodel-context-protocol-server

Quick Facts

Stars247
Forks39
LanguagePython
CategoryMCP Server
LicenseMIT
Quality Score69.2414533185169/100
Open Issues10
Last Updated2025-06-15
Created2025-04-01
Platformsclaude-code, mcp, python
Est. Tokens~101k

mcp-telegram alternative? Top 6 similar tools

Looking for a mcp-telegram alternative? If you're comparing mcp-telegram with other mcp server tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.

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Frequently Asked Questions

What is mcp-telegram?

mcp-telegram is MCP Server for Telegram. It is categorized as a MCP Server with 247 GitHub stars.

What programming language is mcp-telegram written in?

mcp-telegram is primarily written in Python. It covers topics such as ai, anthropic, anthropic-claude.

How do I install or use mcp-telegram?

You can find installation instructions and usage details in the mcp-telegram GitHub repository at github.com/dryeab/mcp-telegram. The project has 247 stars and 39 forks, indicating an active community.

What license does mcp-telegram use?

mcp-telegram is released under the MIT license, making it free to use and modify according to the license terms.

What are the best alternatives to mcp-telegram?

The top alternatives to mcp-telegram on Agent Skills Hub include tuui, atlassian-mcp-server, claude-historian-mcp. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.

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