Knowledge Raven
What is Knowledge Raven?
Knowledge Raven is a managed MCP knowledge platform that makes company and personal knowledge searchable for any AI agent. Connect your docs from Confluence, Notion, GitHub, Dropbox, or Google Drive — your agent gets a researcher's toolkit to find what it needs.
Unlike single-source MCP servers (e.g., Notion MCP, Confluence MCP), Knowledge Raven is a unified knowledge layer: one MCP endpoint, multiple sources, any AI client.
Agentic RAG — A Researcher's Toolkit
Agents get 3 retrieval modes — not just basic vector search:
- Semantic Search — precise, targeted results via vector search
- Broad Search — keyword-based, exploratory, wide-ranging
- Full Document Access — retrieve complete documents as fallback
The agent autonomously decides which tool fits the query. This architecture is future-proof: new retrieval methods simply become new tools.
Tools (6)
| Tool | Purpose |
|---|---|
list_knowledge_bases | List available knowledge bases in a workspace |
search_knowledge_base | Semantic vector search — precise, targeted results |
broad_search | Keyword-based broad search — exploratory, wide-ranging |
list_documents | List all documents in a knowledge base |
fetch_document | Retrieve full document content |
get_document_metadata | Get metadata (source, dates, format, deep link) |
Pre-built Connectors
Confluence · Notion · GitHub · Dropbox · Google Drive — no coding required. Every result links back to the original document in the source system.
Key Features
- Model-agnostic: Works with any MCP-compatible client (Claude, ChatGPT, Cursor, Windsurf, etc.)
- Source Deep-Linking: Every result links back to the original document
- Multi-format: Text, images, audio, video, PDF, DOCX, Markdown, CSV, and more
- Team-ready: Workspaces with knowledge bases, sections, and user management
Pricing
- Free: $0/month — 50 docs, 3 users, 100 queries/user/month
- Pro: $29/workspace/month — 500 docs, 15 users, unlimited queries
- Enterprise: Custom
Server Config
{
"mcpServers": {
"knowledge-raven": {
"url": "https://mcp.knowledge-raven.com/mcp",
"transport": "streamable-http",
"headers": {
"Authorization": "Bearer <YOUR_JWT_TOKEN>"
}
}
}
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