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MCP Auto Register

MCP Auto Register is a Python package used to automatically register functions and classes in Python packages to a FastMCP instance, simplifying the integration process of MCP services.
2.5 points
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What is MCP Auto Register?

MCP Auto Register is a Python toolkit that can automatically scan functions and classes in a specified Python package and register them to a FastMCP server instance. This simplifies the process of integrating an existing codebase into an MCP service.

How to use MCP Auto Register?

It's very simple to use. Just import the register_functions_from_package or register_classes_from_package functions, specify the package path to be registered and the MCP instance. You can also select specific functions or classes through filters.

Applicable scenarios

It is suitable for scenarios where you need to quickly expose the functions of an existing Python library as an MCP service, especially libraries in the fields of scientific computing and data processing.

Main features

Automatic function registrationIt can automatically scan all functions in a Python package and register them to the MCP server
Automatic class wrappingSupports automatically wrapping class instances and converting them into functions suitable for MCP calls
Selective registrationYou can register only specific functions or classes through filters

Advantages and limitations

Advantages
Simplify the integration process and reduce manual registration work
Support batch processing of an entire Python package
A flexible filtering mechanism can select the required functions
Limitations
The functions/classes to be registered need to comply with specific interface specifications
Complex classes may require custom wrappers
It cannot handle dynamically generated code

How to use

Install the package
Install the mcp-auto-register package using pip
Initialize the MCP instance
Create a FastMCP server instance
Register functions
Select the package and specific functions to be registered
Register classes
Create a wrapper for the class and register it
Run the server
Start the MCP server

Usage examples

Register scientific computing functionsRegister matrix operation functions in the scipy.linalg package as an MCP service
Wrap NBA API endpointsAutomatically wrap all endpoint classes in nba_api.stats.endpoints

Frequently Asked Questions

How to select specific functions to be registered?
What special processing is required for class registration?
Which Python packages are supported?

Related resources

PyPI project page
The official PyPI page of the package
GitHub repository
The project source code repository
FastMCP documentation
FastMCP server documentation
Installation
Copy the following command to your Client for configuration
Note: Your key is sensitive information, do not share it with anyone.
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