Telegram MCP Server

Telegram MCP Server

Enables Claude Code to send messages to and receive instructions from Telegram, with task tracking and persistent storage.

Category
访问服务器

README

Telegram MCP Server for Claude Code

A bidirectional Telegram bridge that allows Claude Code to communicate with you via Telegram. Built on the Model Context Protocol (MCP).

Features

  • Send messages from Claude Code to your Telegram
  • Receive instructions — send Telegram messages that Claude Code can read
  • Task tracking — create, update, and monitor tasks with Telegram notifications
  • Persistent storage — all messages and tasks stored in SQLite
  • Webhook-based — no polling, instant message delivery

Architecture

You (Telegram) ←→ Telegram Bot API ←→ Webhook Server (Express, port 3100) ←→ SQLite DB
                                                                                ↕
Claude Code ←→ MCP Server (stdio) ←→ SQLite DB

Two processes share the same SQLite database:

  • Webhook Server — receives your Telegram messages via bot webhook
  • MCP Server — spawned by Claude Code via stdio, reads/writes the same DB

Prerequisites

  • Node.js 18+
  • A Telegram bot (create one via @BotFather)
  • Your Telegram chat ID (use @userinfobot to find it)
  • A publicly accessible URL for the webhook (e.g., via reverse proxy or tunnel)

Installation

git clone https://github.com/xmart2k/telegram-mcp.git
cd telegram-mcp
npm install
npm run build

Configuration

Copy the example environment file and fill in your values:

cp .env.example .env

Edit .env:

TELEGRAM_BOT_TOKEN=your_bot_token_from_botfather
TELEGRAM_CHAT_ID=your_telegram_chat_id
WEBHOOK_PORT=3100
WEBHOOK_HOST=0.0.0.0
DB_PATH=/path/to/data/telegram-mcp.db

Claude Code Setup

Add the MCP server to your Claude Code configuration (.mcp.json in your project or ~/.claude/settings.json globally):

{
  "mcpServers": {
    "telegram-pm": {
      "command": "node",
      "args": ["/path/to/telegram-mcp/dist/mcp-server.js"],
      "env": {
        "TELEGRAM_BOT_TOKEN": "your_bot_token",
        "TELEGRAM_CHAT_ID": "your_chat_id",
        "DB_PATH": "/path/to/telegram-mcp/data/telegram-mcp.db"
      }
    }
  }
}

Running the Webhook Server

Start the webhook server to receive Telegram messages:

# Development
npm run dev:webhook

# Production
npm run start:webhook

Systemd Service (optional)

For production, install as a systemd service:

# Edit telegram-webhook.service to match your paths
sudo cp telegram-webhook.service /etc/systemd/system/
sudo systemctl daemon-reload
sudo systemctl enable --now telegram-webhook

Register the Webhook

After the server is running and accessible via a public URL, register the webhook with Telegram (one-time setup):

curl -X POST http://localhost:3100/webhook/setup \
  -H "Content-Type: application/json" \
  -d '{"url": "https://your-domain.com/webhook"}'

Verify webhook status:

curl http://localhost:3100/webhook/info

MCP Tools

Tool Description
send_message Send a Telegram message to you
get_instructions Check for pending messages from you
acknowledge_instruction Mark a specific instruction as processed
acknowledge_all_instructions Mark all pending instructions as processed
create_task Create a tracked task with optional notification
update_task_status Update task status with optional notification
get_task_status Get status and history of a task
list_active_tasks List all non-completed tasks
list_all_tasks List all tasks including completed

Usage Examples

Once configured, Claude Code can use the tools naturally:

  • "Send me a message on Telegram saying the deploy is done" — uses send_message
  • "Check if I sent any instructions" — uses get_instructions
  • "Create a task BUG-42 to fix the login issue" — uses create_task
  • "Mark BUG-42 as completed" — uses update_task_status

You can also send messages from Telegram to Claude Code — they'll be queued and available via get_instructions.

API Endpoints (Webhook Server)

Method Path Description
POST /webhook Telegram bot updates (configured automatically)
POST /webhook/setup Register webhook URL with Telegram
GET /webhook/info Current webhook status
GET /health Health check

License

MIT

推荐服务器

Baidu Map

Baidu Map

百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。

官方
精选
JavaScript
Playwright MCP Server

Playwright MCP Server

一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。

官方
精选
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。

官方
精选
本地
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。

官方
精选
本地
TypeScript
VeyraX

VeyraX

一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。

官方
精选
本地
graphlit-mcp-server

graphlit-mcp-server

模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。

官方
精选
TypeScript
Kagi MCP Server

Kagi MCP Server

一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。

官方
精选
Python
e2b-mcp-server

e2b-mcp-server

使用 MCP 通过 e2b 运行代码。

官方
精选
Neon MCP Server

Neon MCP Server

用于与 Neon 管理 API 和数据库交互的 MCP 服务器

官方
精选
Exa MCP Server

Exa MCP Server

模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。

官方
精选