Integrum - Reflection based MCP server from any Python Module/Library [P]
A new library called Integrum has been developed to simplify the creation of MCP servers from existing Python modules or libraries. Integrum utilizes a reflection-based approach and includes a command-line interface (CLI) for ease of use. The developer notes that they haven't found similar reflection-based methods for this purpose and is seeking feedback from the community.
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PublishedOffset at this time: UTC+0Oct 9, 2026, 18:59 UTC
IngestedOffset at this time: UTC+0Oct 9, 2026, 23:00 UTC
- Published
- Oct 9, 2026, 18:59
- Ingested
- Oct 9, 2026, 23:00
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- Dev community
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Hi! I wrote a small library called Integrum that allows you to quickly create MCP server(s) from existing Python libraries or modules. It has a CLI so it is really easy to use (I hope!).
It is open-source (MIT) and on PyPI, so sharing it here if somebody finds it useful.
Code: https://github.com/alphadeepai/integrum
Blog post: https://nmilosev.svbtle.com/integrum-reflection-based-mcp-server-from-any-python-module-or-library
As an example I gave Gemma 4 access to scikit-learn and told it to create a RF classifier for a toy dataset (Iris) and it did it rather well! Here is that example session..
Obviously an interesting discussion is this approach vs. just letting the agents write code: I think this approach is more formal and therefore easier to verify.
I haven't found any other reflection based approaches like this, let me know if I missed some.