No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by dryeab · MCP Server · ★ 252
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is mcp-telegram safe to install? View the security audit →
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
| Stars | 252 |
| Forks | 38 |
| Language | Python |
| Category | MCP Server |
| License | MIT |
| Quality Score | 69.2414533185169/100 |
| Open Issues | 10 |
| Last Updated | 2025-06-15 |
| Created | 2025-04-01 |
| Platforms | claude-code, mcp, python |
| Est. Tokens | ~101k |
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mcp-telegram is MCP Server for Telegram. It is categorized as a MCP Server with 252 GitHub stars.
mcp-telegram is primarily written in Python. It covers topics such as ai, anthropic, anthropic-claude.
You can find installation instructions and usage details in the mcp-telegram GitHub repository at github.com/dryeab/mcp-telegram. The project has 252 stars and 38 forks, indicating an active community.
mcp-telegram is released under the MIT license, making it free to use and modify according to the license terms.
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.
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. It is a first-layer scan, not a manual audit — we say so rather than overstate it.
The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.
Sources & who's responsible: