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 chigwell · MCP Server · ★ 1.7k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is telegram-mcp safe to install? View the security audit →
🤖 MCP in Action Here's a demonstration of the Telegram MCP capabilities in Claude: Basic usage example: Example: Asking Claude to analyze chat history and send a response: Successfully sent message to the group: As you can see, the AI can seamlessly interact with your Telegram account, retrieving and displaying your chats, messages, and other data in a natural way. A full-featured T
| Stars | 1,731 |
| Forks | 445 |
| Language | Python |
| Category | MCP Server |
| License | Apache-2.0 |
| Quality Score | 66.1880086888378/100 |
| Open Issues | 26 |
| Last Updated | 2026-09-30 |
| Created | 2025-03-20 |
| Platforms | cli, mcp, python |
| Est. Tokens | ~20k |
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🔍 导出并模糊搜索 Telegram 聊天记录 | Export and fuzzy search your Telegram chat history
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telegram-mcp is Telegram MCP server powered by Telethon to let MCP clients read chats, manage groups, and send/modify messages, media, contacts, and settings.. It is categorized as a MCP Server with 1.7k GitHub stars.
telegram-mcp is primarily written in Python. It covers topics such as admin, api, chat-management.
You can find installation instructions and usage details in the telegram-mcp GitHub repository at github.com/chigwell/telegram-mcp. The project has 1.7k stars and 445 forks, indicating an active community.
telegram-mcp is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to telegram-mcp on Agent Skills Hub include ddgs, klavis, aci. 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: