Agentic Ai Tool Suite

🚀 Unified MCP Server Configuration Guide

This guide aims to assist users in configuring and running a unified Multi-Purpose Creation Platform (MCP) server set. The system consists of multiple functional modules, covering tasks such as content generation, transformation, and publishing.

🚀 Quick Start

✨ Features

• Facilitate the configuration and operation of a unified MCP server set.
• Include multiple functional modules for content generation, transformation, and publishing.

📦 Installation

1. Create a Virtual Environment and Install Dependencies

In the project's root directory, execute the following commands to create and activate a virtual environment:

python -m venv .venv
source .venv/bin/activate  # Use this command on macOS/Linux
# Or, on Windows:
#.venv\Scripts\activate

Install all project dependencies:

pip install -r requirements.txt

2. Configure Each Functional Module

A. Content Generation Server (content-creator)

1. Navigate to the content generation directory:

   cd content-creator
   

2. Install module-specific dependencies:

   pip install -r requirements.txt
   

3. Configure environment variables (if necessary).
4. Start the server:

   python server.py
   

B. Content Transformation Server (content-transformer)

1. Navigate to the content transformation directory:

   cd content-transformer
   

2. Install module-specific dependencies:

   pip install -r requirements.txt
   

3. Configure environment variables (if necessary).
4. Start the server:

   python server.py
   

C. Content Publishing Server (content-publisher)

1. Navigate to the content publishing directory:

   cd content-publisher
   

2. Install module-specific dependencies:

   pip install -r requirements.txt
   

3. Configure environment variables, especially API keys and access tokens.
4. Start the server:

   python server.py
   

3. Integration and Testing

• Create a unified entry script (e.g., run_all.sh) to integrate the startup commands of all servers.
• Perform integration tests to ensure normal communication and data flow between modules.

4. Expansion and Maintenance

• Add monitoring and logging tools, such as Prometheus and Grafana, to track server performance.
• Implement a regular backup strategy to prevent data loss.
• Configure an automatic update mechanism to keep system components up-to-date.

💻 Usage Examples

Basic Usage

The project root directory provides example_settings.json as a reference template. Users can adjust various configuration parameters according to their actual needs, such as API endpoints and database connection strings.

Steps:

1. Copy the example configuration file:

   cp example_settings.json settings.json
   

2. Modify the configuration as needed, ensuring that all placeholder paths and keys are replaced with actual values.
3. Apply the configuration and restart the server for the changes to take effect.

📚 Documentation

Notes

• Ensure that all API keys and sensitive information are not stored in plain text or committed to the version control system.
• Regularly review and update access control policies to ensure system security.
• In a production environment, it is recommended to use containerization technologies (such as Docker) to deploy each server module to improve system stability and scalability.

By following the above steps, users can successfully set up and run a comprehensive, efficient, and reliable unified MCP server system.