telegram-automation

Solid

Automate Telegram tasks via Rube MCP (Composio): send messages, manage chats, share photos/documents, and handle bot commands. Always search tools first for current schemas.

AI & Automation 2,987 stars 362 forks Updated 4 days ago MIT

Install

View on GitHub

Quality Score: 96/100

Stars 20%
100
Recency 20%
100
Frontmatter 20%
70
Documentation 15%
100
Issue Health 10%
50
License 10%
100
Description 5%
100

Skill Content

# Telegram Automation via Rube MCP Automate Telegram operations through Composio's Telegram toolkit via Rube MCP. **Toolkit docs**: [composio.dev/toolkits/telegram](https://composio.dev/toolkits/telegram) ## Prerequisites - Rube MCP must be connected (RUBE_SEARCH_TOOLS available) - Active Telegram connection via `RUBE_MANAGE_CONNECTIONS` with toolkit `telegram` - Always call `RUBE_SEARCH_TOOLS` first to get current tool schemas - Telegram Bot Token required (created via @BotFather) ## Setup **Get Rube MCP**: Add `https://rube.app/mcp` as an MCP server in your client configuration. No API keys needed — just add the endpoint and it works. 1. Verify Rube MCP is available by confirming `RUBE_SEARCH_TOOLS` responds 2. Call `RUBE_MANAGE_CONNECTIONS` with toolkit `telegram` 3. If connection is not ACTIVE, follow the returned auth link to configure the Telegram bot 4. Confirm connection status shows ACTIVE before running any workflows ## Core Workflows ### 1. Send Messages **When to use**: User wants to send text messages to a Telegram chat **Tool sequence**: 1. `TELEGRAM_GET_ME` - Verify bot identity and connection [Prerequisite] 2. `TELEGRAM_GET_CHAT` - Get chat details and verify access [Optional] 3. `TELEGRAM_SEND_MESSAGE` - Send a text message [Required] **Key parameters**: - `chat_id`: Numeric chat ID or channel username (e.g., '@channelname') - `text`: Message text content - `parse_mode`: 'HTML' or 'MarkdownV2' for formatting - `disable_notification`: Send silentl...

Details

Author
davepoon
Repository
davepoon/buildwithclaude
Created
10 months ago
Last Updated
4 days ago
Language
Python
License
MIT

Integrates with

Similar Skills

Semantically similar based on skill content — not just same category