@pipeworx/conceptnet

Connect: https://pipeworx.io/mcp — every tool in the catalog, including @pipeworx/conceptnet’s. Install: one-click buttons

No MCP client? Skip the connection: POST https://gateway.pipeworx.io/v1/tools/search_packs {"query":"..."} to find a tool below, GET /v1/tools/<name> for its schema, POST the same URL with arguments for the data — see For AI agents.

Tools: 3

ConceptNet MCP — open multilingual knowledge graph of word/phrase relations: IsA, PartOf, UsedFor, HasA, RelatedTo, AtLocation, Causes, Synonym, Antonym, …. ~28M edges across 80+ languages. Keyless.

Tools

• lookup(term, lang?, limit?, offset?, only_rel?, end_node_lang?) — all edges touching a term
• query(rel?, start?, end?, node?, source?, limit?, offset?) — generic edge-query
• relatedness(node1, node2) — semantic-relatedness score for two terms

Common relations

• /r/IsA, /r/PartOf, /r/HasA, /r/UsedFor, /r/CapableOf, /r/AtLocation, /r/Causes, /r/Synonym, /r/Antonym, /r/RelatedTo, /r/HasContext, /r/MannerOf.

Data source

https://api.conceptnet.io/ — keyless, fair-use (~3600 req/hour).

Node URIs: /c/<lang>/<word> (e.g. /c/en/dog).

Tools

• lookup — All edges touching a term in a language.
• query — Generic /query edge search (combine rel, start, end, node, source).
• relatedness — Semantic-relatedness score (0..1) between two terms.