Chatbot Assistant with Gemini + gRPC

Name: Chatbot Assistant with Gemini + gRPC
Author: omjamnekar

@omjamnekar

リポジトリ

Chatbot Assistant with Gemini + gRPC について

grcp chatmodel with mcp server model integrated with gemini model 5o-flash

#chatbot #grpc #gemini

基本情報

カテゴリ

AI とエージェント

ランタイム

python

トランスポート

stdio

公開者

omjamnekar

設定

以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。

{
  "mcpServers": {
    "grcp-chatmodel": {
      "command": "python",
      "args": [
        "server.py"
      ]
    }
  }
}

ツール

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概要

What is Chatbot Assistant with Gemini + gRPC?

A simple chatbot backend powered by Google's Gemini API that uses gRPC for client‑server communication. It maintains conversation context per session and follows a clean modular design (client, server, context manager, inference engine). Designed for developers building interactive conversational experiences with gRPC and Gemini.

How to use Chatbot Assistant with Gemini + gRPC?

Install dependencies: pip install -r requirements.txt.
Create a .env file with your GEMINI_API key.
Start the server: python server.py.
Run the client: python client.py. Type messages and receive AI replies; type exit to stop.

Key features of Chatbot Assistant with Gemini + gRPC

gRPC‑based communication between client and server
Integration with Google Gemini API for AI replies
Session‑based context management per chat
Modular code (client, server, context manager, inference engine)
Clean project structure with .proto definitions

Use cases of Chatbot Assistant with Gemini + gRPC

Building a prototype chatbot with stateful conversation history
Learning how to combine gRPC with a modern LLM API
Experimenting with session‑aware AI assistants in Python
Demonstrating a full‑stack gRPC application with Gemini backend

FAQ from Chatbot Assistant with Gemini + gRPC

How do I set up the Gemini API key?

Create a .env file in the project root and add GEMINI_API=your_api_key_here.

What Python version is required?

Python 3.10 or higher is recommended.

Do I need to compile the .proto files myself?

No – the repository includes pre‑generated files (assistant_pb2.py and assistant_pb2_grpc.py). Ensure they match your .proto definitions if you modify them.