# dfxm-geo-mcp

> dfxm-geo-mcp — borgi-s-dfxm-geo-mcp. Use this tool when you need to validate configurations, enumerate reflections, or run preview-scale simulations for dark-field X-ray microscopy. The dfxm-geo-mcp server takes in configuration inputs and outputs simulation results, enabling AI clients to drive the dfxm-geo forward model. Ideal for use cases requiring rapid testing and optimization of microscopy parameters, this tool streamlines the simulation process and helps solve problems related to config validation and simulation scaling.

Canonical page: https://skillsregistry.net/skills/borgi-s-dfxm-geo-mcp  
JSON: https://api.skillsregistry.net/v1/skills/borgi-s-dfxm-geo-mcp

## Description

MCP server that lets AI clients drive the dfxm-geo dark-field X-ray microscopy forward model, enabling config validation, reflection enumeration, and preview-scale simulations.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/qqt5sdfzty)
- **Repository:** <https://github.com/borgi-s/dfxm-geo-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": "borgi-s-dfxm-geo-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/borgi-s-dfxm-geo-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/borgi-s-dfxm-geo-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