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io.github.borgi-s/dfxm-geo-mcp

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MCP server for the dfxm-geo dark-field X-ray microscopy forward model

Source code Documentation

Install

Add this to your client's MCP configuration (Claude Desktop: claude_desktop_config.json; Cursor: .cursor/mcp.json; VS Code and others use the same "mcpServers" shape).

PYPI package dfxm-geo-mcp
Claude Code 
claude mcp add dfxm-geo-mcp -- uvx dfxm-geo-mcp==0.1.0
JSON configuration (Claude Desktop, Cursor, VS Code) 
{
    "mcpServers": {
        "dfxm-geo-mcp": {
            "command": "uvx",
            "args": [
                "dfxm-geo-mcp==0.1.0"
            ]
        }
    }
}

Documentation

From the project's README on GitHub, refreshed weekly. Links open on GitHub.

Contents
  1. dfxm-geo-mcp
  2. Run
  3. Tools
  4. Architecture
  5. Roadmap (v2)

dfxm-geo-mcp

An MCP server that lets an AI client drive the dfxm-geo dark-field X-ray microscopy forward model: validate and scaffold configs, enumerate reachable reflections, and render preview-scale simulations.

Run

uvx dfxm-geo-mcp

Claude Desktop (claude_desktop_config.json):

{"mcpServers": {"dfxm-geo": {"command": "uvx", "args": ["dfxm-geo-mcp"]}}}

Or: pip install dfxm-geo-mcp then dfxm-geo-mcp.

First run pulls a heavy scientific stack (numba/scipy) and warms a JIT cache (~10 s once). No fake demo mode — the sims are real.

Tools

validate_config · find_reflections · predict_visibility (g·b reflection-visibility ranking; structured scores plus a self-contained .html) · scaffold_config · run_forward (analytic preview; saves a PNG and a self-contained .html) · run_rocking (interactive φ-rocking-curve viewer: a single self-contained .html with a frame scrubber + live rocking-curve plot) · start_bootstrap / get_job_status / get_job_result (MC fidelity).

Both run_forward and run_rocking write self-contained HTML (image(s) embedded, all CSS/JS inline, no external origins) that opens full-size in any browser and is surfaced by file-showing clients.

Architecture

A protocol-agnostic ops layer wrapping dfxm-geo, under a thin FastMCP adapter. See docs/superpowers/specs/.

Roadmap (v2)

run_identify · remote HTTP transport · .mcpb bundle.

Frequently asked questions

What is io.github.borgi-s/dfxm-geo-mcp?

MCP server for the dfxm-geo dark-field X-ray microscopy forward model

How do I install io.github.borgi-s/dfxm-geo-mcp?

It runs on your machine. In Claude Code: claude mcp add dfxm-geo-mcp -- uvx dfxm-geo-mcp==0.1.0. For other clients, paste the JSON configuration from this page into their MCP settings.

Does io.github.borgi-s/dfxm-geo-mcp need an API key?

Its registry entry lists no required key or secret. Some features may still need an account with the service it connects to.

Is io.github.borgi-s/dfxm-geo-mcp open source?

Its code is public on GitHub, but the repository does not declare a standard license.

Who maintains io.github.borgi-s/dfxm-geo-mcp?

It is published by borgi-s. AI.tn lists it but does not maintain or endorse it.

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