A brand focused on knowledge management and information organization, providing design solutions as indicated by their design page.
Why this server?
Allows for the configuration and activation of the SearchKnowledgeBase tool, enabling agents to query integrated knowledge sources.
Why this server?
Provides tools for reading HPE Support Center knowledgebase documents as text, listing document topics, searching the knowledgebase when an authenticated session is available, and checking the latest known HPE Morpheus release.
Why this server?
Retrieves information from the AWS Knowledge Base using Bedrock Agent Runtime, supporting RAG (Retrieval-Augmented Generation) with customizable result counts and providing both raw context and structured metadata from search queries.
Why this server?
Provides tools for managing and querying custom knowledge base webhook endpoints, allowing users to register sources, list available knowledge bases, and perform searches across one or multiple sources.
Why this server?
Integrates with Smallest.ai's knowledge base management system, providing tools for listing, creating, and retrieving knowledge bases through the Smallest.ai API.
Why this server?
Mentioned as one of the platform's capabilities, allowing communities to build and maintain structured knowledge repositories.
Why this server?
Connects an agent to a PlusGPT knowledge base instance so it can orient itself (whoami, list_spaces, browse_space, recent_pages), read and search content (get_page, search_pages with fused keyword+semantic results, ask_knowledge_base for cited answers, list_page_types), and write back (create/update/move/delete pages, create folders). It also handles file ingestion, turning PDFs and images into attached pages with upload_document, check_import, list_imports and retry_import, and manages searchability via check_indexing, wait_for_indexing and reindex_page. Authentication uses per-caller Knowledge Base API keys, so each agent only reaches what its key allows.
Why this server?
Enables querying a vector database for RAG (Retrieval Augmented Generation) responses, allowing the LLM to retrieve information from stored knowledge base documents.
Why this server?
Integrates with the KnowledgeBase vault as the canonical store for finalized decisions, linking decision points to vault references for authoritative records.