Factual package intelligence from PyPI
MCP server that gives an LLM agent (e.g. HolmesGPT) a materialized, queryable service dependency graph in a graph database - deterministic root-cause (deepest failing service), blast radius, and observability blind-spot detection.
pip install woodpecker-mcp
PyPI declares 6 unique dependency rules for this release. Environment markers are shown when supplied by the project.
woodpecker-mcp publishes 1 wheel and 1 source archive for version 0.2.0. Wheel platform tags: any.
Declared Python classifiers: 3.10, 3.11, 3.12.
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 3 releases with files. The first dated release is ; 3 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .