# mcp-nobel

> mcp-nobel — pipeworx-io-mcp-nobel. Use this tool when you need to access and manage Nobel Prize data, including laureates and prizes by year and category. It solves problems related to retrieving and organizing historical Nobel Prize information, providing a comprehensive dataset for research and analysis. The tool takes year and category as inputs and outputs relevant laureate and prize data, making it ideal for use cases requiring accurate and structured Nobel Prize information.

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

## Description

MCP server for Nobel Prize data — laureates and prizes by year and category

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

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

## Source

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

## 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-nobel"
    }
  }
}
```

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