tgbot-mcp 0.1.2

A trusted, open-source Telegram MCP server — bot token auth only, no personal account access

tgbot-mcp

A trusted, open-source MCP (Model Context Protocol) server for Telegram.

Built as a clean alternative to closed-source or opaque Telegram MCP packages — bot token authentication only, no personal account access, no proprietary backend.

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Features

• Bot token auth only — uses the official Telegram Bot API (api.telegram.org). Your personal account is never touched.
• 4 purpose-built tools for LLM workflows: send messages, send structured notifications, send notifications with action buttons, and wait for user replies.
• Language-agnostic — tools are written in English, but the LLM responds to users in their own language automatically. No language is hardcoded.
• Smart polling in wait_for_reply to minimise API calls while staying responsive.
• Zero external services. Pure Python + httpx + fastmcp.

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Quick Start

1. Create a Telegram Bot

1. Open Telegram and message @BotFather.
2. Send /newbot and follow the prompts.
3. Copy the bot token (looks like 123456:ABC-DEF...).
4. Start a chat with your new bot, then visit:

   https://api.telegram.org/bot<YOUR_TOKEN>/getUpdates
   

   Send any message to the bot and look for "chat":{"id":...} — that is your chat ID.

2. Register with Your MCP Client

Add the following to your MCP client configuration (e.g. claude_desktop_config.json):

{
  "mcpServers": {
    "tgbot-mcp": {
      "command": "uvx",
      "args": ["tgbot-mcp"],
      "env": {
        "TELEGRAM_BOT_TOKEN": "YOUR_BOT_TOKEN",
        "TELEGRAM_CHAT_ID": "YOUR_CHAT_ID"
      }
    }
  }
}

uvx runs the server directly from PyPI without a separate install step. If you don't have uv yet:

curl -LsSf https://astral.sh/uv/install.sh | sh

Alternatively, install manually and run with pip:

pip install tgbot-mcp

Then use "command": "tgbot-mcp" (without uvx) in the config above.

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Tools

send_message

Send a free-form text message to the configured chat.

Parameter	Type	Default	Description
text	str	(required)	Message body. Telegram Markdown supported.
parse_mode	"Markdown" | "HTML" | ""	"Markdown"	Text formatting mode.

Example prompt: "Send a Telegram message: 'Build finished successfully in 2m 14s.'"

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send_notification

Send a structured notification with an automatic event emoji.

Event	Emoji
completed	✅
error	❌
progress	🔄
question	❓

Parameter	Type	Default	Description
event	str	(required)	One of the four event types above.
summary	str	(required)	One-line summary (≤200 chars).
details	str	""	Optional multi-line detail body.

Example prompt: "Notify me on Telegram that the data pipeline completed. Include row counts."

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send_notification_with_buttons

Send a notification with up to 4 inline action buttons. Ideal when you want the user to pick an option without typing.

Parameter	Type	Default	Description
event	str	(required)	Event type.
summary	str	(required)	One-line summary.
buttons	list[str]	(required)	1–4 button labels. Each label is also the reply value.
details	str	""	Optional context text.

Example prompt: "Ask me via Telegram whether to deploy to staging or production."

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wait_for_reply

Block until the user replies (text message or button tap) or the timeout expires.

Parameter	Type	Default	Max	Description
max_wait_seconds	int	1800	no limit	How long to wait for a reply.

Smart polling schedule:

Elapsed time	Poll interval
0 – 10 minutes	30 seconds
10 minutes – 1 hr	60 seconds
1 hr+	120 seconds

LLM guidelines for max_wait_seconds:

Scenario	Recommended value
Simple yes/no question	300 (5 min)
General task approval	1800 (30 min) ✓
Stock price / event alert	1800 (30 min)
End-of-day review	7200 (2 hr)
Overnight / long-running job	86400 (24 hr)
Multi-day wait	any value — no limit

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Typical LLM Workflow

LLM: [does some long task]
  → send_notification_with_buttons(
        event="question",
        summary="Finished analysis. What should I do next?",
        buttons=["📊 Generate report", "📧 Send email", "🔁 Re-run with new params"]
    )
  → wait_for_reply(max_wait_seconds=1800)
  → [user taps "📊 Generate report"]
LLM: [generates the report]
  → send_notification(event="completed", summary="Report ready!", details="...")

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Environment Variables

Variable	Required	Description
TELEGRAM_BOT_TOKEN	✅	Bot token from @BotFather
TELEGRAM_CHAT_ID	✅	Chat ID to send messages to

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Development

# Clone and install in editable mode
git clone https://github.com/TGLEEEE/tgbot-mcp
cd tgbot-mcp
pip install -e ".[dev]"

# Run directly
TELEGRAM_BOT_TOKEN=... TELEGRAM_CHAT_ID=... python -m tgbot_mcp.server

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Security

• Only the official Telegram Bot API is used (api.telegram.org). No third-party relay.
• Bot tokens are read from environment variables — never hardcoded.
• Only the chat configured via TELEGRAM_CHAT_ID receives messages.
• No personal Telegram account credentials are ever required.

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License

MIT — see LICENSE.