AI Customer Support Bot - MCP Server
About
AI Customer Support Bot - MCP Server is a Model Context Protocol (MCP) server that provides AI-powered customer support by integrating with Cursor AI and Glama.ai. It is designed for developers and support teams who need real-time context fetching, batch processing, and…
Details
- License
- MIT license
Explore
- Real-time context fetching from Glama.ai
- AI-powered response generation with Cursor AI
- Batch processing support
- Priority queuing
- Rate limiting
- User interaction tracking
- Health monitoring
- MCP protocol compliance
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
- Python 3.8+
- PostgreSQL database
- Glama.ai API key
- Cursor AI API key
SERVER_NAME="AI Customer Support Bot"
SERVER_VERSION="1.0.0"
API_PREFIX="/mcp"
MAX_CONTEXT_RESULTS=5
Start the server:
``bash`
python app.py
The server will be available at
Claude Desktop / Cursor
Paste into your MCP client config file to install this server.
{
"mcpServers": {
"ai customer support bot - mcp server": {
"ChiragPatankar_AI-Customer-Support-Bot--MCP-Server": {
"command": "python",
"args": [
"-m",
"venv",
"venv"
]
}
}
}
}McpServers
{
"ChiragPatankar_AI-Customer-Support-Bot--MCP-Server": {
"command": "python",
"args": [
"-m",
"venv",
"venv"
]
}
}Features
- Real-time context fetching from Glama.ai - AI-powered response generation with Cursor AI - Batch processing support - Priority queuing - Rate limiting - User interaction tracking - Health monitoring - MCP protocol compliancePrerequisites
- Python 3.8+ - PostgreSQL database - Glama.ai API key - Cursor AI API keyInstallation
1. Clone the repository: ``bash
git clone <repository-url>
cd <repository-name>
`
2. Create and activate a virtual environment:
`bash
python -m venv venv
source venv/bin/activate # On Windows: venv\Scripts\activate
`
3. Install dependencies:
`bash
pip install -r requirements.txt
`
4. Create a .env file based on .env.example:
`bash
cp .env.example .env
`
5. Configure your .env file with your credentials:
``envSign in to leave a review
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