telegram-assistant

name	telegram-assistant
description	Telegram automation assistant using telegram-mcp. Use when users want to: (1) Get a digest of unread Telegram messages (2) Analyze their writing style from channel posts (3) Draft and publish posts to Telegram channels (4) Search and reply to messages across chats Triggers: "telegram digest", "unread messages", "morning summary", "post to channel", "draft telegram post", "analyze writing style", "extract style from channel", "telegram workflow"
license	MIT
compatibility	Requires telegram-mcp server configured in Claude Code. See references/setup.md for installation instructions.
metadata	{"author":"Bayram Annakov (onsa.ai)","version":"1.0.0","category":"productivity","telegram-mcp-repo":"https://github.com/chigwell/telegram-mcp"}
allowed-tools	mcp__telegram-mcp__* Read Write Edit Glob

Telegram Assistant

Automate Telegram workflows with AI: digests, channel posting, and style-matched drafts.

Quick Start

Need morning digest?     → Use Digest Workflow
Want to post to channel? → Use Style + Post Workflow
Replying to messages?    → Use Reply Workflow

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Workflow 1: Digest

Goal: Summarize unread messages across all chats.

Step 1: Get Unread Chats

Use list_chats to find chats with unread messages.
Look for "Unread:" in the output (both count and "marked" flag).

Step 2: Read Recent Messages

For each chat with unread:

1. Use get_messages or list_messages to fetch recent messages
2. Focus on messages since last read

Step 3: Summarize

Create a digest with:

• Priority items: Direct mentions, questions needing response
• Updates: News, announcements from channels
• Low priority: General chatter, FYI items

Step 4: Draft Replies (Optional)

For messages needing response:

1. Draft a reply
2. Use save_draft to save it for user review
3. User can review and send manually in Telegram app

Safety: Never send messages directly. Always save as draft first.

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Workflow 2: Style Extraction

Goal: Analyze channel posts to capture user's writing style.

Step 1: Fetch Posts

Use list_messages with the channel name/ID.
Fetch last 15-20 posts (skip media-only posts).

Step 2: Analyze Patterns

Extract these characteristics:

• Language mix: Ratio of Russian to English terms
• Structure: Use of hooks, tldr, bullets, numbered lists, sections
• Tone: Formal (вы) vs casual (ты), first-person usage (я/мы)
• Length: Average post length in words
• Emoji: Frequency and types used
• Call-to-action: How posts typically end

Step 3: Generate Style Guide

Create references/style-guide.md with:

# [Channel Name] Style Guide

## Language
- Primary: Russian with English tech terms
- Formality: [formal/casual]
- Person: [я/мы usage]

## Structure
- Hook: [question/statement/story]
- Sections: [yes/no, with headers?]
- Lists: [bullets/numbered]
- tldr: [yes/no]

## Formatting
- Average length: ~[X] words
- Emoji: [frequent/occasional/rare]
- Common emojis: [list]

## Endings
- Call-to-action style: [question/invitation/resource link]

## Example Patterns
[Include 2-3 anonymized structure examples]

Step 4: Save for Future Use

The style guide is now available for the Post workflow.

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Workflow 3: Post to Channel

Goal: Draft a post matching user's writing style.

Pre-requisite

Run Style Extraction workflow first if references/style-guide.md doesn't exist.

Step 1: Read Style Guide

Read references/style-guide.md to understand the target style.

Step 2: Understand Topic

Ask user for:

• Topic/subject matter
• Key points to cover
• Target audience (if different from usual)
• Any specific call-to-action

Step 3: Draft Post

Write the post following the style guide:

• Match language mix ratio
• Use the same structural patterns
• Maintain consistent tone
• Include appropriate emoji (if style uses them)
• End with typical call-to-action pattern

Step 4: User Review

Present the draft to user for feedback. Iterate if needed.

Step 5: Save as Draft

Use save_draft(chat_id="ChannelName", message="draft content")

User can then:

1. Open Telegram app
2. Go to the channel
3. See the draft in the input field
4. Review and send when ready

Safety: Always use save_draft, never send_message for channel posts.

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Workflow 4: Search & Reply

Goal: Find specific messages and draft contextual replies.

Step 1: Search

Use search_messages(chat_id, query) to find relevant messages.
Or list recent messages and filter manually.

Step 2: Get Context

Use get_message_context(chat_id, message_id) to see surrounding messages.

Step 3: Draft Reply

Write a contextual reply based on the conversation flow.

Step 4: Save as Draft Reply

Use save_draft(chat_id, message, reply_to_msg_id=message_id)

User reviews and sends from Telegram app.

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Safety Guidelines

1. Draft First: Never use send_message for important communications. Always save_draft.

2. Verify Chat ID: Double-check you're targeting the right chat before any action.

3. Rate Limits: Avoid rapid-fire API calls. Space out requests if processing many chats.

4. Privacy: The AI sees all accessible chats. Be mindful of sensitive conversations.

5. Session Security: The session string provides full account access. Treat it like a password.

   • On macOS: Store in Keychain (see setup.md) rather than .env files
   • Never commit credentials to git

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Troubleshooting

"Could not find the input entity"

• Use channel username (without @) or numeric ID
• For supergroups, try prepending -100 to the ID

"Chat not found"

• Ensure the account has access to the chat
• Try using the exact chat title from list_chats

Draft not appearing

• Open the specific chat in Telegram app
• Drafts are saved per-chat

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Resources

• telegram-mcp repo: https://github.com/chigwell/telegram-mcp
• Setup guide: references/setup.md
• Style guide template: references/style-guide.md