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Query a multilingual concept graph to explore semantic relations and word associations.
Copy the install command and let the AI configure it · recommended for beginners
Please install the "Conceptnet" MCP server from askskill: Run: claude mcp add --transport http 'io-github-pipeworx-io-conceptnet' 'https://gateway.pipeworx.io/conceptnet/mcp'
Use ConceptNet to query concepts related to “climate change,” group them by causes, related topics, and common associations, and return a bilingual Chinese-English list.
A relation-grouped list of related concepts with bilingual terms and brief notes.
Using ConceptNet, expand “remote work” into 20 related words and phrases suitable for writing, categorized by work style, tools, pros, and cons.
A categorized set of content-friendly topic keywords for further writing or ideation.
Use ConceptNet to compare the semantic relations and common linked concepts of “education,” “learning,” and “study,” and explain their differences in English contexts.
A comparison of meaning differences and linked concepts to clarify synonym usage contexts.
Understand codebase meaning and structure through a semantic concept graph.
Query a semantic concept graph for codebase invariants and cross-cutting facts.
Build, analyze, and visualize relationship graphs with powerful graph algorithms.
Build and explore a neuroscience-inspired knowledge graph for search and reasoning.
Search academic papers, analyze citations, and get author and topic recommendations.
Enable context-aware memory retrieval with authority weighting and conflict detection.