Knowledge Raven

Make your knowledge agent-ready.

От сообществаРаботаетБез входаГлобальныйБесплатноТолько чтение

Что умеет

List Knowledge Bases: Lists all available knowledge bases with document counts.
Search Knowledge Base: Targeted search for specific facts, definitions, or narrow questions. Returns up to 10 best matches with context. Each result includes a source_link for deep-linking to the cite
Broad Search: Keyword-heavy search for overview, comparison, and exploratory questions ('What tools do we use?', 'List all...'). Returns up to 30 results with broader matching. Each result includes a

Какие данные видит

Нужен ли аккаунт

Не нужен: сервер работает без входа

Make your knowledge agent-ready. Connect docs from Confluence, Notion, GitHub, Dropbox, or Google Drive — any AI agent searches them via one MCP endpoint. 3 retrieval modes: vector search, broad search, and full document access.

Список инструментов сервера (6)

Технические названия из tools/list. Нужны только разработчикам.

list_knowledge_bases	Lists all available knowledge bases with document counts.
search_knowledge_base	Targeted search for specific facts, definitions, or narrow questions. Returns up to 10 best matches with context. Each result includes a source_link for deep-linking to the cited passage. For overview or aggregation questions, use broad_search instead.
broad_search	Keyword-heavy search for overview, comparison, and exploratory questions ('What tools do we use?', 'List all...'). Returns up to 30 results with broader matching. Each result includes a source_link for deep-linking to the cited passage. For specific facts, use search_knowledge_base.
list_documents	Lists all documents in a knowledge base with titles, types, AI-generated summaries, and source_link for each document. Use this to understand what content exists before searching, or when the user asks about available documents.
fetch_document	Retrieves document content flexibly. Modes: 'preview' (first 3 sections + summary), 'full' (entire document), 'chunks' (specific sections by index range, e.g. chunk_range=[5,10]). Returns a chunks array with per-chunk source_link for deep-linking to specific passages, plus a document-level source_link. Start with preview to check relevance before fetching full content.
get_document_metadata	Retrieves metadata for a document (title, type, size, page count, etc.) including a source_link to view the document on the platform.