# mcp-conceptnet

> mcp-conceptnet — pipeworx-io-mcp-conceptnet. Use this tool when you need to navigate complex semantic relationships between words and phrases in multiple languages. It solves problems related to natural language understanding, text analysis, and knowledge graph construction by providing a vast open graph of word/phrase relations. The tool takes in queries and returns related concepts, entities, and phrases, making it ideal for applications requiring multilingual semantic search and reasoning.

Canonical page: https://skillsregistry.net/skills/pipeworx-io-mcp-conceptnet  
JSON: https://api.skillsregistry.net/v1/skills/pipeworx-io-mcp-conceptnet

## Description

ConceptNet MCP — open multilingual word/phrase relation graph

## Trust

- **Trust score (0–1):** 0.97
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** other
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/pipeworx-io/mcp-conceptnet)

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "pipeworx-io-mcp-conceptnet"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/pipeworx-io-mcp-conceptnet` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/pipeworx-io-mcp-conceptnet/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt