Chatbot Assistant with Gemini + gRPC

by omjamnekar

328 downloads Not rated yet

GitHub

About

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

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- gRPC-based communication
- Google Gemini API integration
- Session-based context management
- Clean modular design (client, server, context manager, inference engine)

Setting up with Highlight

This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:

Download and install Highlight from highlightai.com/download
Navigate to the plugins tab and select "Add Custom Plugin"
Configure the plugin with the settings below

Plugin Name Chatbot Assistant with Gemini + gRPC

Command (node, npx, python, etc.)

Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.
Enable "Start Automatically" if you want the plugin to start when Highlight launches

Setting up with Cursor

Open Cursor's settings
Navigate to the MCP section
Click "Add new Global MCP server"
Copy and paste the configuration below based on your operating system

JSON

{
    "mcpServers": {
        "chatbot assistant with gemini + grpc": {
            "grcp-chatmodel": {
                "command": "python",
                "args": [
                    "server.py"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "chatbot assistant with gemini + grpc": {
            "grcp-chatmodel": {
                "command": "python",
                "args": [
                    "server.py"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "chatbot assistant with gemini + grpc": {
            "grcp-chatmodel": {
                "command": "python",
                "args": [
                    "server.py"
                ]
            }
        }
    }
}

Setting up with Claude Desktop

Open Claude Desktop's settings
Go to the Integrations tab
Click "Add MCP Server"
Use the configuration below based on your operating system

Note: Make sure Claude Desktop is running before attempting to connect.

JSON

{
    "mcpServers": {
        "chatbot assistant with gemini + grpc": {
            "grcp-chatmodel": {
                "command": "python",
                "args": [
                    "server.py"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "chatbot assistant with gemini + grpc": {
            "grcp-chatmodel": {
                "command": "python",
                "args": [
                    "server.py"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "chatbot assistant with gemini + grpc": {
            "grcp-chatmodel": {
                "command": "python",
                "args": [
                    "server.py"
                ]
            }
        }
    }
}

Setting up with Windsurf

Open Windsurf's preferences
Go to the Integrations section
Click "Add MCP Integration"
Use the configuration below based on your operating system

JSON

{
    "mcpServers": {
        "chatbot assistant with gemini + grpc": {
            "grcp-chatmodel": {
                "command": "python",
                "args": [
                    "server.py"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "chatbot assistant with gemini + grpc": {
            "grcp-chatmodel": {
                "command": "python",
                "args": [
                    "server.py"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "chatbot assistant with gemini + grpc": {
            "grcp-chatmodel": {
                "command": "python",
                "args": [
                    "server.py"
                ]
            }
        }
    }
}

Setting up with Cline

Open Cline's settings
Navigate to the Integrations section
Click "Add MCP Server"
Copy and paste the configuration below based on your operating system

Note: Make sure to restart Cline after adding the configuration.

JSON

{
    "mcpServers": {
        "chatbot assistant with gemini + grpc": {
            "grcp-chatmodel": {
                "command": "python",
                "args": [
                    "server.py"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "chatbot assistant with gemini + grpc": {
            "grcp-chatmodel": {
                "command": "python",
                "args": [
                    "server.py"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "chatbot assistant with gemini + grpc": {
            "grcp-chatmodel": {
                "command": "python",
                "args": [
                    "server.py"
                ]
            }
        }
    }
}

Setting up with Goose

Open Goose's preferences
Go to the Integrations tab
Select "MCP Servers"
Click "Add New Server"
Use the configuration below based on your operating system

JSON

{
    "mcpServers": {
        "chatbot assistant with gemini + grpc": {
            "grcp-chatmodel": {
                "command": "python",
                "args": [
                    "server.py"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "chatbot assistant with gemini + grpc": {
            "grcp-chatmodel": {
                "command": "python",
                "args": [
                    "server.py"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "chatbot assistant with gemini + grpc": {
            "grcp-chatmodel": {
                "command": "python",
                "args": [
                    "server.py"
                ]
            }
        }
    }
}

From the repository

pip install -r requirements.txt

Create a .env file with your Gemini API key:

GEMINI_API=your_api_key_here

Type 'exit' to stop chatting.
You: Hello
AI: I received: Hello. Previous context: 0 messages.

Claude Desktop / Cursor

Paste into your MCP client config file to install this server.

{
    "mcpServers": {
        "chatbot assistant with gemini + grpc": {
            "grcp-chatmodel": {
                "command": "python",
                "args": [
                    "server.py"
                ]
            }
        }
    }
}

McpServers

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

This project is a simple chatbot backend powered by Google's Gemini API and uses gRPC for client-server communication. It maintains context per session and provides interactive conversational experiences.

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Setting up with Highlight

From the repository

Claude Desktop / Cursor

McpServers

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