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Unified knowledge retrieval for structured local and external information access.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "KnowFlow MCP" yet — see the docs or source repo.
Search my local knowledge base for Project A’s background, key conclusions, and related documents, then summarize in bullets.
A structured summary of Project A, related documents, and key conclusions.
Combine external knowledge and my local notes on vector database selection, and provide comparison points plus a recommendation.
A comparison table, selection recommendation, and cited sources.
Using the accessible knowledge, answer: How do MCP tools provide structured external knowledge to LLMs?
A concise, accurate explanation with supporting knowledge references.
Production-ready MCP server for query normalization, retrieval, and RAG prompt building.
Turn local notes into a private searchable knowledge base for AI assistants.
Local knowledge-base toolbox for ingest, retrieval, citations, and agent context workflows.
Centralize knowledge, run semantic search, ingest documents, and generate RAG answers.
Turn unstructured documents into a searchable knowledge base for AI agents.
Automatically extract, merge, and query learned CS knowledge as a graph.