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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.
Centralize knowledge, run semantic search, ingest documents, and generate RAG answers.
Automatically classify, search, and organize local Markdown notes and knowledge bases.
Search custom knowledge bases in Claude Desktop with RAG via MCP.
Build a project knowledge graph for code search, traversal, and Q&A.
Adds nodes, edges, and semantic retrieval to agent knowledge graphs.
Provide persistent shared memory, fact consolidation, and hybrid retrieval for AI teams.