Fastify Telegram Bot

Example Use Cases

• 1

  Interact with Telegram users and respond using a large language model (Google Gemini).

• 2

  Be extended with external tools via MCP services (Smithery) such as web search, weather, or sequential reasoning.

• 3

  Persistent storage for conversations or user state using a PostgreSQL-compatible database with Prisma.

Description

This project implements a Telegram bot backend using Fastify and Prisma that delegates natural language understanding and generation to Google Gemini. It supports MCP (Model Context Protocol) services (via Smithery) to add tool-enabled capabilities like web search or weather, and persists data in a PostgreSQL-compatible database. The bot is highly configurable via system prompts and environment variables, letting you customize agent behavior and available MCP tools. It is suitable for developers who want a ready-made foundation to build LLM-powered Telegram assistants with extensible tool integrations.