MCP Server Demo

by never2average

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GitHub

About

# MCP Server Demo A production-ready task management system built with MCP (Model Control Protocol) and Kafka. ## Overview This project demonstrates a robust task management system using MCP to enable AI agents to interact with a Kafka-based task queue. The system allows for: - Task management (creating, updating…

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- Task Management: Create, update, prioritize, and complete production tasks
- Notification System: Real-time notifications with priority levels
- Kafka Integration: Reliable message queuing and event streaming
- MCP Tools: AI-friendly interfaces for task and notification operations
- Consumer Services: Background processing of Kafka messages

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 MCP Server Demo

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": {
        "mcp server demo": {
            "a2a-mcp-server": {
                "command": "python",
                "args": [
                    "main.py"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "mcp server demo": {
            "a2a-mcp-server": {
                "command": "python",
                "args": [
                    "main.py"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "mcp server demo": {
            "a2a-mcp-server": {
                "command": "python",
                "args": [
                    "main.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": {
        "mcp server demo": {
            "a2a-mcp-server": {
                "command": "python",
                "args": [
                    "main.py"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "mcp server demo": {
            "a2a-mcp-server": {
                "command": "python",
                "args": [
                    "main.py"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "mcp server demo": {
            "a2a-mcp-server": {
                "command": "python",
                "args": [
                    "main.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": {
        "mcp server demo": {
            "a2a-mcp-server": {
                "command": "python",
                "args": [
                    "main.py"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "mcp server demo": {
            "a2a-mcp-server": {
                "command": "python",
                "args": [
                    "main.py"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "mcp server demo": {
            "a2a-mcp-server": {
                "command": "python",
                "args": [
                    "main.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": {
        "mcp server demo": {
            "a2a-mcp-server": {
                "command": "python",
                "args": [
                    "main.py"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "mcp server demo": {
            "a2a-mcp-server": {
                "command": "python",
                "args": [
                    "main.py"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "mcp server demo": {
            "a2a-mcp-server": {
                "command": "python",
                "args": [
                    "main.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": {
        "mcp server demo": {
            "a2a-mcp-server": {
                "command": "python",
                "args": [
                    "main.py"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "mcp server demo": {
            "a2a-mcp-server": {
                "command": "python",
                "args": [
                    "main.py"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "mcp server demo": {
            "a2a-mcp-server": {
                "command": "python",
                "args": [
                    "main.py"
                ]
            }
        }
    }
}

From the repository

- Python 3.13+
- Kafka cluster (local or AWS MSK)
- Confluent Kafka Python client

pip install -e .
```

The system exposes the following MCP tools for AI agents:

Claude Desktop / Cursor

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

{
    "mcpServers": {
        "mcp server demo": {
            "a2a-mcp-server": {
                "command": "python",
                "args": [
                    "main.py"
                ]
            }
        }
    }
}

McpServers

{
    "a2a-mcp-server": {
        "command": "python",
        "args": [
            "main.py"
        ]
    }
}

A production-ready task management system built with MCP (Model Control Protocol) and Kafka.

Overview

This project demonstrates a robust task management system using MCP to enable AI agents to interact with a Kafka-based task queue. The system allows for:

- Task management (creating, updating, completing tasks)
- Notification handling
- Real-time event processing via Kafka

Features

Requirements

- Python 3.13+
- Kafka cluster (local or AWS MSK)
- Confluent Kafka Python client

Installation

```bash

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Setting up with Highlight

From the repository

Claude Desktop / Cursor

McpServers

Overview

Features

Requirements

Installation

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