AI Customer Support Bot - MCP Server

by MCP-Mirror

296 downloads

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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

Author: MCP-Mirror
Downloads: 296
Categories: Search, AI

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

JSON

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

JSON

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

JSON

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

JSON

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

JSON

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

JSON

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

JSON

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

JSON

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

JSON

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

JSON

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

From the repository

Install Python 3.8+, PostgreSQL, and obtain API keys for Glama.ai and Cursor AI. Clone the repository, set up a virtual environment, install dependencies, copy .env.example to .env and fill in credentials, create the database, run migrations, then start the server with python app.py. The server runs on http://localhost:8000 and exposes endpoints like POST /mcp/process for single queries and POST /mcp/batch for batch processing.

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"
        ]
    }
}

AI Customer Support Bot - MCP Server

A Model Context Protocol (MCP) server that provides AI-powered customer support using Cursor AI and Glama.ai integration.

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 compliance

Prerequisites

- Python 3.8+ - PostgreSQL database - Glama.ai API key - Cursor AI API key

Installation

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:

``env

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About

Details

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Setting up with Highlight

From the repository

Claude Desktop / Cursor

McpServers

AI Customer Support Bot - MCP Server

Features

Prerequisites

Installation

Install

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