What are the prerequisites for running MCP Telegram Server?
You need Python 3.x, Telegram API credentials (API_ID, API_HASH, PHONE_NUMBER), and an MCP‑compatible environment (e.g., Cursor IDE).
@leshchenko1979
Basic information
Telegram MCP Server - now you can talk to your Telegram from Cursor
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"tg_mcp": {
"command": "python",
"args": [
"setup_telegram.py"
]
}
}
}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.
MCP Telegram Server is an MCP (Model Control Protocol) server that provides Telegram functionality through a clean API interface, including message search, sending, and chat management capabilities. It is built for MCP‑compatible environments like Cursor IDE and allows AI agents to interact with Telegram chats programmatically.
Clone the repository, install dependencies with pip install -r requirements.txt, create a .env file with your Telegram API credentials, and run python setup_telegram.py to authenticate. Then start the server with mcp run <path>/server.py. For Cursor IDE, add the server to a .cursor/mcp.json file. After configuration, all Telegram tools are available inside the IDE.
You need Python 3.x, Telegram API credentials (API_ID, API_HASH, PHONE_NUMBER), and an MCP‑compatible environment (e.g., Cursor IDE).
Run `python setup_telegram.py` from the project root. This creates a session file (`mcp_telegram_search.session`) that stores your authenticated session.
It provides `search_messages`, `advanced_search`, `pattern_search`, `send_telegram_message`, `get_dialogs`, `get_statistics`, `generate_links`, and `export_data` – all via MCP tools.
An authenticated session file (`mcp_telegram_search.session`) is created in the project root. Logs are stored in the `logs/` directory.
Create a `.cursor/mcp.json` file with the server definition (command pointing to `mcp run` and the server script path). The server will connect automatically when the project is opened in Cursor.
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