# xraylarch-mcp

> Use this tool when you need to analyze X-ray spectroscopy data through natural language inputs, enabling efficient processing and plotting of XAS/XAFS spectra. It solves problems related to loading, processing, and interpreting complex spectroscopy data, providing a user-friendly interface for scientists and researchers. The tool accepts natural language commands as input and outputs analyzed and visualized spectroscopy data, making it ideal for materials science and chemistry applications.

Canonical page: https://skillsregistry.net/skills/joint-photon-sciences-institute-xraylarch-mcp  
JSON: https://api.skillsregistry.net/v1/skills/joint-photon-sciences-institute-xraylarch-mcp

## Description

MCP server that wraps xraylarch for X-ray spectroscopy analysis, enabling loading, processing, analyzing, and plotting XAS/XAFS spectra through natural language.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/h9d4w21nah)
- **Repository:** <https://github.com/Joint-Photon-Sciences-Institute/xraylarch-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": "joint-photon-sciences-institute-xraylarch-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/joint-photon-sciences-institute-xraylarch-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/joint-photon-sciences-institute-xraylarch-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