AI Customer Support Bot - MCP Server

by ChiragPatankar

4 207 downloads Not rated yet MIT

GitHub

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# 🤖 AI Customer Support Bot - MCP Server <div align="center"> ![Python](https://img.shields.io/badge/python-v3.8+-blue.svg) ![FastAPI](https://img.shields.io/badge/FastAPI-005571?style=flat&logo=fastapi) ![PostgreSQL](https://img.shields.io/badge/PostgreSQL-316192?style=flat&logo=postgresql&logoColor=white)…

Details

License: MIT

Explore

<table>
<tr>
<td>

🏗️ Clean Architecture
Layered design with clear separation of concerns

📡 MCP Compliant
Full Model Context Protocol implementation

</td>
<td>

🔒 Production Ready
Auth, rate limiting, monitoring included

🚀 High Performance
Built on FastAPI with async support

</td>
</tr>
<tr>
<td>

🔌 AI Agnostic
Integrate any AI provider easily

📊 Health Monitoring
Comprehensive metrics and diagnostics

</td>
<td>

🛡️ Secure by Default
Token auth and input validation

📦 Batch Processing
Handle multiple queries efficiently

</td>
</tr>
</table>

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 AI Customer Support Bot - MCP Server

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": {
        "ai customer support bot - mcp server": {
            "AI-Customer-Support-Bot---MCP-Server": {
                "command": "python",
                "args": [
                    "-m",
                    "venv",
                    "venv"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "ai customer support bot - mcp server": {
            "AI-Customer-Support-Bot---MCP-Server": {
                "command": "python",
                "args": [
                    "-m",
                    "venv",
                    "venv"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "ai customer support bot - mcp server": {
            "AI-Customer-Support-Bot---MCP-Server": {
                "command": "python",
                "args": [
                    "-m",
                    "venv",
                    "venv"
                ]
            }
        }
    }
}

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": {
        "ai customer support bot - mcp server": {
            "AI-Customer-Support-Bot---MCP-Server": {
                "command": "python",
                "args": [
                    "-m",
                    "venv",
                    "venv"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "ai customer support bot - mcp server": {
            "AI-Customer-Support-Bot---MCP-Server": {
                "command": "python",
                "args": [
                    "-m",
                    "venv",
                    "venv"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "ai customer support bot - mcp server": {
            "AI-Customer-Support-Bot---MCP-Server": {
                "command": "python",
                "args": [
                    "-m",
                    "venv",
                    "venv"
                ]
            }
        }
    }
}

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": {
        "ai customer support bot - mcp server": {
            "AI-Customer-Support-Bot---MCP-Server": {
                "command": "python",
                "args": [
                    "-m",
                    "venv",
                    "venv"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "ai customer support bot - mcp server": {
            "AI-Customer-Support-Bot---MCP-Server": {
                "command": "python",
                "args": [
                    "-m",
                    "venv",
                    "venv"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "ai customer support bot - mcp server": {
            "AI-Customer-Support-Bot---MCP-Server": {
                "command": "python",
                "args": [
                    "-m",
                    "venv",
                    "venv"
                ]
            }
        }
    }
}

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": {
        "ai customer support bot - mcp server": {
            "AI-Customer-Support-Bot---MCP-Server": {
                "command": "python",
                "args": [
                    "-m",
                    "venv",
                    "venv"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "ai customer support bot - mcp server": {
            "AI-Customer-Support-Bot---MCP-Server": {
                "command": "python",
                "args": [
                    "-m",
                    "venv",
                    "venv"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "ai customer support bot - mcp server": {
            "AI-Customer-Support-Bot---MCP-Server": {
                "command": "python",
                "args": [
                    "-m",
                    "venv",
                    "venv"
                ]
            }
        }
    }
}

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": {
        "ai customer support bot - mcp server": {
            "AI-Customer-Support-Bot---MCP-Server": {
                "command": "python",
                "args": [
                    "-m",
                    "venv",
                    "venv"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "ai customer support bot - mcp server": {
            "AI-Customer-Support-Bot---MCP-Server": {
                "command": "python",
                "args": [
                    "-m",
                    "venv",
                    "venv"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "ai customer support bot - mcp server": {
            "AI-Customer-Support-Bot---MCP-Server": {
                "command": "python",
                "args": [
                    "-m",
                    "venv",
                    "venv"
                ]
            }
        }
    }
}

From the repository

- Python 3.8+
- PostgreSQL
- Your favorite AI service (OpenAI, Anthropic, etc.)

git clone https://github.com/ChiragPatankar/AI-Customer-Support-Bot--MCP-Server.git
cd AI-Customer-Support-Bot--MCP-Server

python -m venv venv
source venv/bin/activate # Windows: venv\Scripts\activate

pip install -r requirements.txt

cp .env.example .env

createdb customer_support_bot

```bash
pytest tests/

bash

DATABASE_URL=postgresql://prod-user:password@prod-host/db
RATE_LIMIT_REQUESTS=1000
LOG_LEVEL=WARNING

bash

Claude Desktop / Cursor

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

{
    "mcpServers": {
        "ai customer support bot - mcp server": {
            "AI-Customer-Support-Bot---MCP-Server": {
                "command": "python",
                "args": [
                    "-m",
                    "venv",
                    "venv"
                ]
            }
        }
    }
}

McpServers

{
    "AI-Customer-Support-Bot---MCP-Server": {
        "command": "python",
        "args": [
            "-m",
            "venv",
            "venv"
        ]
    }
}

A modern, extensible MCP server framework for building AI-powered customer support systems Features • Quick Start • API Reference • Architecture • Contributing </div> ---

🌟 Overview

A Model Context Protocol (MCP) compliant server framework built with modern Python. Designed for developers who want to create intelligent customer support systems without vendor lock-in. Clean architecture, battle-tested patterns, and ready for any AI provider. ``

mermaid
graph TB
    Client[HTTP Client] --> API[API Server]
    API --> MW[Middleware Layer]
    MW --> SVC[Service Layer]
    SVC --> CTX[Context Manager]
    SVC --> AI[AI Integration]
    SVC --> DAL[Data Access Layer]
    DAL --> DB[(PostgreSQL)]



✨ Features


<table>
<tr>
<td>

🏗️ Clean Architecture  
Layered design with clear separation of concerns

📡 MCP Compliant  
Full Model Context Protocol implementation

</td>
<td>

🔒 Production Ready  
Auth, rate limiting, monitoring included

🚀 High Performance  
Built on FastAPI with async support

</td>
</tr>
<tr>
<td>

🔌 AI Agnostic  
Integrate any AI provider easily

📊 Health Monitoring  
Comprehensive metrics and diagnostics

</td>
<td>

🛡️ Secure by Default  
Token auth and input validation

📦 Batch Processing  
Handle multiple queries efficiently

</td>
</tr>
</table>

🚀 Quick Start


Prerequisites


- Python 3.8+
- PostgreSQL
- Your favorite AI service (OpenAI, Anthropic, etc.)

Installation

``bash

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About

Details

Explore

Setting up with Highlight

From the repository

Claude Desktop / Cursor

McpServers

🌟 Overview

✨ Features

🚀 Quick Start

Prerequisites

Installation

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