Factual package intelligence from PyPI
MCP server that observes every prompt, scores quality in real time, and closes the loop with iterative refinement. Built on FastMCP, SQLite, and Bayesian priors — no extra LLM required.
pip install loopllm
PyPI declares 17 unique dependency rules for this release. Environment markers are shown when supplied by the project.
>=24.0.0The compact report shows 12 of 17 declarations. The interactive dependency graph loads the complete metadata.
loopllm publishes 1 wheel and 1 source archive for version 0.7.0. Wheel platform tags: any.
Declared Python classifiers: 3.11, 3.12, 3.13.
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.
PyPI lists 1 release with files. The first dated release is ; 1 release falls within the 365 days preceding the latest dated release. The current release files were uploaded on .