# fdmnes-mcp

> Use this tool when you need to run X-ray spectroscopy simulations using natural language inputs, creating and executing FDMNES jobs, and analyzing outputs. It solves problems related to simulating and understanding X-ray spectroscopy by streamlining the process and providing keyword lookup functionality. The tool accepts natural language commands as input and produces analyzed simulation outputs, ideal for materials scientists and researchers working with X-ray spectroscopy data.

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

## Description

Enables running FDMNES X-ray spectroscopy simulations via natural language, supporting input file creation, job execution, output analysis, and keyword lookup through MCP-aware clients.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** file-system
- **Updated:** 2026-09-01

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/v344996jkw)
- **Repository:** <https://github.com/Joint-Photon-Sciences-Institute/fdmnes-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-fdmnes-mcp"
    }
  }
}
```

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