How do I set up the Telegram MCP Server?
Follow the setup steps: install dependencies, create a `.env` file with your `TELEGRAM_BOT_TOKEN`, build the TypeScript project, and start the server.
@abhinavkale-dev
Basic information
Simple Telegram MCP server
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"telegram": {
"command": "node",
"args": [
"path/to/telegram-mcp-server/dist/telegram-mcp.js"
],
"env": {
"TELEGRAM_BOT_TOKEN": "your_bot_token_here"
}
}
}
}Tool list not available yet
This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.
We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
A Model Context Protocol server for the Telegram Bot API, allowing AI assistants to interact with Telegram using standardized tools. It implements the MCP SDK and exposes Telegram operations as callable tools.
Install dependencies with npm install, create a .env file with your TELEGRAM_BOT_TOKEN, build with npm run build, and start with npm start. For MCP client integration, add the provided JSON configuration to your client's config file, specifying the server path and bot token.
Follow the setup steps: install dependencies, create a `.env` file with your `TELEGRAM_BOT_TOKEN`, build the TypeScript project, and start the server.
It supports three operations: `sendMessage`, `sendPhoto`, and `deleteMessage`. Each takes the required parameters as shown in the usage examples.
Add the provided JSON configuration to your MCP client’s config file, specifying the server’s JavaScript file path and your Telegram bot token in the `env` field.
You need Node.js, the npm dependencies from `npm install`, and a valid Telegram Bot Token stored in the `TELEGRAM_BOT_TOKEN` environment variable.

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