MCP server
Conceptnet
io.github.pipeworx-io/conceptnet
Checked 26 Oct 2026, 08:29 UTC · Connected to it and listed its tools
ConceptNet MCP — open multilingual word/phrase relation graph
Working at last checkOfficial: pipeworx.io's GitHub account (pipeworx-io)About 26,822 tokens per request once connected45 tools
https://gateway.pipeworx.io/conceptnet/mcp
At a glance
- Type
- MCP server
- Publisher
- pipeworx.io (verified by the MCP Registry)
- Status
- Working at last check
- Tools
- 45
- Token cost
- About 26,822 tokens per request
- Sets up in
- Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok
- Last checked
- 26 Oct 2026, 08:29 UTC
Connect it to your agent
Opens the app, which shows the server and asks you to confirm. For other apps, copy the setup below.
Claude Code
claude mcp add --transport http conceptnet https://gateway.pipeworx.io/conceptnet/mcp
Claude Desktop
Settings → Connectors → Add custom connector, and paste the URL.
Codex (config.toml)
[mcp_servers.conceptnet] url = "https://gateway.pipeworx.io/conceptnet/mcp"
Gemini CLI
{"mcpServers":{"conceptnet":{"httpUrl":"https://gateway.pipeworx.io/conceptnet/mcp"}}}
Cursor
{"mcpServers":{"conceptnet":{"url":"https://gateway.pipeworx.io/conceptnet/mcp"}}}
VS Code
{"servers":{"conceptnet":{"type":"http","url":"https://gateway.pipeworx.io/conceptnet/mcp"}}}
Antigravity
agy mcp add conceptnet https://gateway.pipeworx.io/conceptnet/mcp
ChatGPT
Settings → Apps & Connectors → Advanced settings: turn on Developer mode, then Create a connector and paste the URL. Which plans can do this varies.
OpenAI API (Responses tools)
{"type":"mcp","server_label":"conceptnet","server_url":"https://gateway.pipeworx.io/conceptnet/mcp","require_approval":"always"}
Grok (xAI API tools)
{"type":"mcp","server_label":"conceptnet","server_url":"https://gateway.pipeworx.io/conceptnet/mcp"}
Tools
lookup~186 tokens
All edges touching a term in a language.query~187 tokens
Generic /query edge search (combine rel, start, end, node, source).relatedness~146 tokens
Semantic-relatedness score (0..1) between two terms.
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