Factual package intelligence from PyPI

data-science-mcp 1.2.0 package intelligence

Data Science MCP Server — Model training, evaluation, and evolution tools for agentic ML workflows. Integrates with agent-utilities IModelEvolver (CONCEPT:AHE-3.15).

pip install data-science-mcp

Current version
1.2.0
Python requirement
<3.14,>=3.11
License
MIT
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
441.6 KiB
Release history
22 releases with files
Median release cadence
2 days

data-science-mcp dependencies

PyPI declares 24 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. agent-utilities >=1.0.0
  2. epistemic-graph >=2.0.0
  3. polars >=1.0.0
  4. numpy >=1.24.0

The compact report shows 12 of 24 declarations. The interactive dependency graph loads the complete metadata.

Compatibility and release files

data-science-mcp publishes 1 wheel and 1 source archive for version 1.2.0. Wheel platform tags: any.

No version-specific Python classifiers are declared.

Security snapshot for data-science-mcp 1.2.0

An OSV query completed on and found 0 known vulnerabilities affecting this version. 0 advisories are classified as critical. 0 advisories appear in the CISA Known Exploited Vulnerabilities catalog.

Metadata completeness

PyPI does not currently declare: project URL. PyDeps marks these fields as unknown instead of guessing values.

Release activity and sources

PyPI lists 22 releases with files. The first dated release is ; 22 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .

The project does not publish external project URLs in its PyPI metadata.