MCP Integration example with Telegram
Overview
What is MCP Integration with Telegram?
MCP Integration with Telegram is a Python-based Model Context Protocol (MCP) client and server that allows large language models (LLMs) to send notifications via Telegram and receive user responses.
How to use MCP Integration with Telegram?
To use this project, clone the repository, install the dependencies, configure your Telegram bot token and chat ID, and run the server or client scripts provided in the examples.
Key features of MCP Integration with Telegram?
- Send text alerts to a Telegram chat with customizable urgency levels.
- Check for user replies with configurable timeouts.
- Flexible template for integration with MCP-compatible LLM applications.
Use cases of MCP Integration with Telegram?
- Sending alerts and notifications from LLMs to users via Telegram.
- Receiving user responses to LLM-generated messages in real-time.
- Integrating LLMs with Telegram for interactive applications.
FAQ from MCP Integration with Telegram?
- What are the prerequisites for using this project?
You need Python 3.11+, a Telegram bot token, and your Telegram chat ID.
- Is there a way to customize the alerts?
Yes! You can set different urgency levels for the alerts sent to Telegram.
- How can I test the integration?
You can run the provided test scripts to see how the client and server interact.
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