# fusion-data-mcp

> fusion-data-mcp — spollal-fusion-data-mcp. Use this tool when you need to manage and integrate data from nuclear fusion experiments, such as LHD, MAST, and Alcator C-Mod, to facilitate collaboration and version control through git. It solves problems of data fragmentation and inconsistency by providing a centralized server for experimental databases. The fusion-data-mcp server accepts experimental data as input and provides a unified interface for output and further analysis.

Canonical page: https://skillsregistry.net/skills/spollal-fusion-data-mcp  
JSON: https://api.skillsregistry.net/v1/skills/spollal-fusion-data-mcp

## Description

MCP server for nuclear fusion experimental databases (LHD, MAST, Alcator C-Mod)

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

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

## Source

- **Source listing:** [GitHub](https://github.com/SpollaL/fusion-data-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": "spollal-fusion-data-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/spollal-fusion-data-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/spollal-fusion-data-mcp/pull`

---
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