Enables AI models to interact with IBM FileNet Content Manager for document lifecycle management, metadata extraction, legal holds, and AI-powered search, summaries, and Q\&A.
Enables AI models to interact with IBM FileNet Content Manager for document management, folder operations, metadata handling, search, and content extraction through a standardized interface.
Enables document ingestion, semantic search, and retrieval-augmented generation via MCP tools and REST API, using vector embeddings and intelligent chunking.
Provides secure integration between MCP clients and IBM Data Intelligence services, enabling AI assistants to interact with IBM's data intelligence capabilities for data management and analytics operations.
Enables AI assistants to securely search and list internal company documents via MCP tools, so they can answer employee questions based on current internal documentation.