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belaytzev/Telebrief

by Various

Personal digests from Telegram channels and chats: summarizes threads, extracts key points, and delivers a clean daily/weekly brief with links and context.

MCP

belaytzev/Telebrief

Added 8 Oct 2026

#ai #anthropic #digest #digest-bot #docker #llm #mcp #mcp-server

Overview

Telebrief is a Python tool that creates personal digests from Telegram channels and chats. It summarizes threads, extracts key points, and delivers daily or weekly briefs with links and context. The project is open source with 21 stars.

Best for

Best for
Developers who want a self-hosted Telegram digest bot for personal use.

Use cases

  • Catch up on busy Telegram channels with a daily summary
  • Extract key points from long chat threads
  • Receive weekly briefs with links and context for saved channels

How to use

Tools exposed

  • channel_name
  • has_media
  • media_type
  • collected_at
  • get_digest
  • get_last_digest
  • get_channel_messages
  • search_messages

Tested with

Claude Code, ChatGPT

Notes

Telebrief is a Python tool that creates personal digests from Telegram channels and chats. It summarizes threads, extracts key points, and delivers daily or weekly briefs with links and context. The project is open source with 21 stars.

21 stars on GitHub. Last updated 2026-10-05. Licensed MIT.

Use cases

  • Catch up on busy Telegram channels with a daily summary
  • Extract key points from long chat threads
  • Receive weekly briefs with links and context for saved channels

Pros

  • Simple Python codebase
  • Focused on personal digest use
  • Delivers links and context in summaries

Cons

  • Small project with limited adoption (21 stars)
  • Requires self-hosting or manual setup
  • No mention of multi-platform support or integrations

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.

Pros

  • Simple Python codebase
  • Focused on personal digest use
  • Delivers links and context in summaries

Cons

  • Small project with limited adoption (21 stars)
  • Requires self-hosting or manual setup
  • No mention of multi-platform support or integrations
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