Saras MCP

🚀 Pulse Backend

Pulse Backend is a framework for building intelligent backend services, aiming to provide developers with an efficient, reliable, and flexible solution. By integrating advanced tools and features, Pulse Backend helps you quickly develop and deploy high-performance applications.

🚀 Quick Start

This README provides a comprehensive guide to understanding and using the Pulse Backend framework. It covers the core architecture, expansion methods, security considerations, and more.

✨ Features

• Resource Management: Manage various types of resources, including database records, files, and network resources.
• Tool - Based Logic: Define reusable logic units through tools to perform operations such as resource creation, reading, updating, deletion, format conversion, and complex calculations.
• Extensibility: Easily add new tools to the server.
• Error Handling: Provide structured error information for better debugging.
• Security - Conscious: Emphasize input validation, error handling, and logging.

📦 Installation

No installation steps are provided in the original document, so this section is skipped.

💻 Usage Examples

Basic Usage

Adding a New Tool

To add a new tool to the Pulse server:

1. Define a new function in server.py and decorate it with @mcp.tool().
2. Define the tool's parameters and their return types.
3. Add detailed docstrings to document the tool's functionality and usage.

@mcp.tool()
def my_new_tool(param1: str, param2: int = 0) -> dict:
    """Describe the functionality of the tool.

    Args:
        param1: Describe parameter 1.
        param2: (Optional) Describe parameter 2.

    Returns:
        A dictionary containing results or error information.
    """
    try:
        # Tool implementation
        return {"success": True, "results": [...]}
    except Exception as e:
        return {
            "success": False,
            "error": "Execution error",
            "message": str(e),
            "code": 500,
        }

Advanced Usage

Error Handling

For tools that may fail, appropriate error handling is required:

1. Use a try - except block to catch exceptions.
2. Return structured error information.

def example_tool():
    try:
        # An operation that may fail
        result = some_operation()
        return {"success": True, "result": result}
    except ValueError as e:
        return {
            "success": False,
            "error": str(e),
            "code": 400,
        }

Tool Annotations

Each tool can be annotated to provide additional information:

@mcp.tool(name="example_tool", description="This is an example tool.")
def example_tool():
    pass

📚 Documentation

Core Architecture

Resources

• Resources are the basic concept in Pulse, representing any object that can be manipulated.
• Examples include:
  • Database records
  • Files
  • Network resources
• Each resource has its unique identifier and attributes.

Tools

• Tools are the core functionality of Pulse, used to define reusable logic units.
• Tools can perform the following operations:
  • Create, read, update, or delete resources.
  • Convert resource formats.
  • Perform complex calculations.
• Each tool has its input parameters and output results.

Expansion Server

Adding New Tools

As shown in the usage examples above.

Error Handling

As shown in the usage examples above.

Tool Annotations

As shown in the usage examples above.

Security Considerations

• Input Validation: Always perform strict validation on user - provided input.
• Error Handling: Ensure that tools can gracefully handle various exceptional situations.
• Logging: Record key operations and error information for easy debugging.

Pulse Protocol Resources

• Pulse Protocol Documentation
• Pulse Backend Example Project

Contribution Guidelines

1. Fork the project repository.
2. Submit your changes.
3. Create a Pull Request.

📄 License

MIT License