Integrum: Open-Source Tool for Creating MCP Servers from Python Modules via Reflection

Integrum is a new open-source library designed to simplify the creation of Model Context Protocol (MCP) servers by leveraging Python's reflection capabilities. Instead of manually defining tool schemas, Integrum automatically generates MCP server interfaces directly from existing Python modules or libraries.

Key Features and Usage

• Reflection-Based Generation: The tool inspects Python code to expose functions as MCP tools without requiring manual wrapper definitions.
• CLI Support: Includes a command-line interface for easy integration and server startup.
• Open Source: Licensed under MIT and available on PyPI.
• Repository: Hosted at alphadeepai/integrum on GitHub.

Practical Example

The author demonstrates the tool's capability by connecting Gemma 4 to the scikit-learn library. In this scenario, the model successfully created a Random Forest classifier for the Iris dataset, demonstrating that the reflection-based approach can effectively bridge LLMs with standard Python scientific computing tools.

Approach vs. Code Generation

The author argues that this reflection-based method is more formal and verifiable than allowing agents to write arbitrary code, potentially offering a safer or more structured way to integrate existing software libraries with AI agents.