Enables creation and management of academic-paper knowledge bases from PDFs, including ingestion, semantic search with reranking, and document-level retrieval via MCP tools.
Enables querying locally synced Canvas/LearningX course materials, assignments, and announcements from any MCP-compatible AI client. Provides read-only access to extracted text and full-text search backed by a local cache.
Transforms documentation repositories into interactive educational content and provides standardized access to AI-generated structured courses through MCP protocol. Generates multi-complexity learning paths from docs and enables AI tutoring applications to interact with course content.
Transforms PDF collections into a searchable knowledge base using TF-IDF indexing and proximity matching. It enables users to search documents, retrieve specific page content, and manage document libraries through natural language via MCP clients.