Factual package intelligence from PyPI
MCP server providing vector memory, drift detection, model routing, skills discovery, session management, and codebase indexing for AI-assisted development pipelines.
pip install ensemble-mcp
PyPI declares 13 unique dependency rules for this release. Environment markers are shown when supplied by the project.
>=3.9>=1.0>=2.4.4>=1.17>=15.0.0>=0.15ensemble-mcp publishes 1 wheel and 1 source archive for version 0.1.0b7. Wheel platform tags: any.
Declared Python classifiers: 3.11, 3.12, 3.13.
PyPI lists 4 releases with files. The first dated release is ; 4 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .