# world-reference-mcp

> world-reference-mcp — knuckles-team-world-reference-mcp. Use this tool when you need to integrate world-reference data into your applications, solving problems related to taxonomy, nutrition, and observations by providing a standardized interface for accessing and aligning data from various sources, including Wikidata and OBO terms, with outputs in compatible formats for further analysis. It accepts inputs from git repositories and other data sources, making it suitable for use cases requiring data enrichment and standardization. This tool is ideal for contexts where data consistency and accuracy are crucial, such as research, analytics, and knowledge graph construction.

Canonical page: https://skillsregistry.net/skills/knuckles-team-world-reference-mcp  
JSON: https://api.skillsregistry.net/v1/skills/knuckles-team-world-reference-mcp

## Description

World-reference data (taxonomy, OBO terms, nutrition, observations, Wikidata alignment) MCP server and agent-connector-sdk source adapters

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

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

## Source

- **Source listing:** [GitHub](https://github.com/Knuckles-Team/world-reference-mcp)

## 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": "knuckles-team-world-reference-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/knuckles-team-world-reference-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/knuckles-team-world-reference-mcp/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