# mcp-ror

> mcp-ror — pipeworx-io-mcp-ror. Use this tool when you need to manage and identify research organizations using canonical IDs. It solves problems related to organization disambiguation and data integration by providing a unique identifier for each research organization. The mcp-ror tool takes organization data as input and outputs a standardized ROR ID, making it ideal for use cases involving research institution tracking and collaboration in a git-based workflow.

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

## Description

Research Organization Registry (ROR) — canonical org IDs

## Trust

- **Trust score (0–1):** 0.98
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** search
- **Updated:** 2026-09-26

## Source

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

## 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-ror"
    }
  }
}
```

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