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Manage features, ADRs, and test criteria as discoverable knowledge graph artifacts.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "io.github.Hafeok/product-cli" yet — see the docs or source repo.
Use this MCP tool to create knowledge graph entries for the new feature "team permission management," including feature description, related ADRs, acceptance criteria, and test criteria, and link their relationships.
Structured feature and decision records with traceable relationships between artifacts.
Scan the existing feature and ADR entries in the project, identify items missing test criteria, and add suggested test coverage points with relationship notes.
A list of missing test criteria plus recommended tests and linkage information.
Query all artifacts related to "notification center refactor," show the full chain from feature requirements to ADRs to test criteria, and summarize current gaps.
A linked artifact view and summary highlighting missing or inconsistent parts.
Query a semantic concept graph for codebase invariants and cross-cutting facts.
Analyze dependency graphs to predict breaking changes and enforce provenance safeguards.
Retrieve, parse, and synthesize document knowledge through an agentic RAG workflow.
Help AI agents search, understand, and operate on codebases with a content-addressed graph.
Index, search, manage, and validate instruction libraries across repositories.
Consult multiple AI CLIs together without needing API keys.