Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type @ followed by the MCP server name and your instructions, e.g., "@mcp-conceptnet what is the relatedness between 'apple' and 'fruit'?"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
ConceptNet MCP — open multilingual word/phrase relation graph
Part of Pipeworx — an MCP gateway connecting AI agents to 965+ live data sources.
Tool | Description |
| All edges touching a term in a language. |
| Generic /query edge search (combine rel, start, end, node, source). |
| Semantic-relatedness score (0..1) between two terms. |
Related MCP server: multilingual-dictionary-mcp
Add to your MCP client (Claude Desktop, Cursor, Windsurf, etc.):
{
"mcpServers": {
"conceptnet": {
"url": "https://gateway.pipeworx.io/conceptnet/mcp"
}
}
}Or connect to the full Pipeworx gateway for access to all 965+ data sources:
{
"mcpServers": {
"pipeworx": {
"url": "https://gateway.pipeworx.io/mcp"
}
}
}Instead of calling tools directly, you can ask questions in plain English:
ask_pipeworx({ question: "your question about Conceptnet data" })The gateway picks the right tool and fills the arguments automatically.
MIT
This server cannot be installed
Unclaimed servers have limited discoverability.
If you are the server author, to access and configure the admin panel.
Search and fetch Wikidata entities, execute SPARQL queries, and resolve external identifiers.
Query STRING interactions, enrichment, annotations, homology, and PPI networks.
Search and analyze global news coverage and US TV transcripts via the GDELT Project APIs.
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curl -X GET 'https://glama.ai/api/mcp/v1/servers/pipeworx-io/mcp-conceptnet'
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