AI Customer Support Bot - MCP Server
Description
# 🤖 AI Customer Support Bot - MCP Server <div align="center">  …
About
# 🤖 AI Customer Support Bot - MCP Server <div align="center">   …
Details
- Author
- ChiragPatankar
- GitHub stars
- 4
- Downloads
- 184
- Categories
- Search
Jump to
- Full MCP protocol implementation
- Production-ready with auth, rate limiting, and monitoring
- High performance with FastAPI async support
- AI-agnostic – integrate any provider (OpenAI, Anthropic, etc.)
- Batch processing for multiple queries
- Secure by default: token auth, input validation, audit logging
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 ServerCommand (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
From the repository
Clone the repository, create a virtual environment with Python 3.8+, install dependencies from requirements.txt, copy and edit .env.example to configure your database and AI service credentials, then run python app.py. The server starts at http://localhost:8000.
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"
]
}
}🤖 AI Customer Support Bot - MCP Server
<div align="center">
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
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