aliyun-mcp-tools-xiaolin-20260130 0.1.0

Basic MCP tools package for Aliyun, without system control or Bafayun functionality

Aliyun MCP Tools Xiaolin

Basic MCP tools package for Aliyun, without system control or Bafayun functionality.

Features

• calculator: Math calculation tool
• get_current_time: Get current system time
• process_text: Text processing tool with various operations

Installation

pip install aliyun-mcp-tools-xiaolin-20260130

Usage

Basic Usage

from aliyun_mcp_tools import calculator, get_current_time, process_text

# Calculate math expression
result = calculator("2 + 2 * 3")
print(result)  # Output: {"success": true, "result": 8}

# Get current time
current_time = get_current_time()
print(current_time)  # Output: {"success": true, "time": "2026-01-30 12:00:00"}

# Process text
text_result = process_text("hello world", "uppercase")
print(text_result)  # Output: {"success": true, "result": "HELLO WORLD"}

Aliyun MCP Integration

from mcp.server.mcpserver import MCPServer
from aliyun_mcp_tools import calculator, get_current_time, process_text

# Create MCP server
mcp = MCPServer("Aliyun Tools Server")

# Register tools
@mcp.tool()
def calculate(expression: str) -> dict:
    """Calculate math expression"""
    return calculator(expression)

@mcp.tool()
def get_time() -> dict:
    """Get current time"""
    return get_current_time()

@mcp.tool()
def text_process(text: str, operation: str) -> dict:
    """Process text with specified operation"""
    return process_text(text, operation)

# Run server
mcp.run(transport="stdio")

Tools

calculator

Calculates Python math expressions.

Parameters:

• python_expression: Python expression to evaluate

Returns:

• {"success": true, "result": <calculated value>} on success
• {"success": false, "error": <error message>} on failure

get_current_time

Gets the current system time.

Returns:

• {"success": true, "time": "YYYY-MM-DD HH:MM:SS"} on success
• {"success": false, "error": <error message>} on failure

process_text

Processes text with various operations.

Parameters:

• text: Text to process
• operation: Operation type ("uppercase", "lowercase", "capitalize", "count_words")

Returns:

• {"success": true, "result": <processed text or word count>} on success
• {"success": false, "error": <error message>} on failure

Development

Build the package

python -m build

Upload to PyPI

python -m twine upload dist/*

License

MIT License