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Automatically extract, merge, and query learned CS knowledge as a graph.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "Knowledge MCP" yet — see the docs or source repo.
Import these computer science course notes into Knowledge MCP, extract concepts, terms, and their relationships, merge duplicate nodes, and build a queryable knowledge graph.
A deduplicated graph of knowledge nodes and relationships that can be queried by topic or connection path.
Query Knowledge MCP for the relationship between "compiler optimization" and "static analysis", and list related nodes, connection paths, and possible upstream or downstream concepts.
Returns concept connection paths, related entities, and contextual explanations from the knowledge graph.
Import paper abstracts, technical blogs, and project documents into Knowledge MCP, detect duplicate concepts, merge similar entities, and preserve key relationships for later retrieval.
Creates a unified technical knowledge graph that reduces duplication and improves later search efficiency.
Unified knowledge retrieval for structured local and external information access.
Turn unstructured text into a searchable knowledge graph memory system.
Build a personal knowledge graph from ChatGPT chats for on-demand code assistant search.
Centralize knowledge, run semantic search, ingest documents, and generate RAG answers.
Build persistent codebase memory for semantic search, impact analysis, and rule enforcement.
Automatically classify, search, and organize local Markdown notes and knowledge bases.