$ loading_
Audit project portfolios against GitHub conversationally to detect drift and anomalies.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "portfolio-drift-mcp" yet — see the docs or source repo.
Audit this project portfolio against the current GitHub state. List missing repositories, naming mismatches, archive status changes, and owner anomalies, then rank them by severity.
A severity-ranked drift report showing affected repositories and the reason for each discrepancy.
Using GitHub data, generate a governance audit summary for this project portfolio, focusing on repository activity, ownership, archived projects, and potential risks.
A presentation-ready audit summary describing portfolio health and key governance risks.
Find repositories in the portfolio that deviate from overall standards, such as missing maintainers, long inactivity, inconsistent labeling strategy, or unusual visibility, and explain why.
A list of anomalous repositories, the rationale for each finding, and prioritized remediation suggestions.
Scan codebases for incompleteness and quantify LLM context drift risk.
Query an AI project portfolio, search by tech, and get project details.
Manage portfolios, track trades, and generate snapshots with alerts.
Use safe MCP tools for calculation, search, drift checks, eval comparison, and grading.
Detect doc drift and verify claims for MCP tools deterministically.
Understand codebases, detect conventions, and retain decisions across sessions.