Discover every caller of a function in the indexed repository using the AST-indexed call graph, with dynamic dispatch fallback for pattern-based invocations.
This MCP server provides AI assistants with full control over Celery task queues by exposing all Celery Flower REST API endpoints as tools. It enables monitoring workers, managing tasks, inspecting queues, and controlling worker pools in real-time through natural language.
Identify the impact of code findings by mapping them to entry points such as HTTP routes, Celery tasks, and signals, enabling prioritized fixes based on actual reachability.
Check the health of a paperless-ngx installation by retrieving version, database and index status, Redis/Celery connectivity, and API version. Use it to diagnose failures and verify connectivity.
Retrieve Celery worker statistics to monitor scoring engine background tasks. Provides white team admins with essential performance data for operational oversight.
Retrieve Celery queue statistics to monitor background task processing. For white team administrators, it provides insights to diagnose queue performance issues in the scoring engine.