io.github.tschoonj/xraylib-mcp-server

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MCP server providing X-ray interaction data via xraylib

Que pouvez-vous faire avec io.github.tschoonj/xraylib-mcp-server ?

  • AtomicNumberToSymbol / SymbolToAtomicNumber -- convert between atomic numbers and element symbols
  • AtomicWeight -- atomic weight (g/mol)
  • ElementDensity -- element density (g/cm3)
  • ElectronConfig -- electron configuration for a given shell
  • CompoundParser -- parse chemical formulas (e.g. SiO2, Ca5(PO4)3F)
  • Atomic_Factors -- atomic scattering factors f0, f', f''

Installation

Ajoutez ceci à la configuration MCP de votre client (Claude Desktop : claude_desktop_config.json ; Cursor : .cursor/mcp.json ; VS Code et les autres utilisent la même forme « mcpServers »).

PYPI package xraylib-mcp-server
Claude Code
claude mcp add xraylib-mcp-server -- uvx xraylib-mcp-server==0.1.6
Configuration JSON (Claude Desktop, Cursor, VS Code)
{
    "mcpServers": {
        "xraylib-mcp-server": {
            "command": "uvx",
            "args": [
                "xraylib-mcp-server==0.1.6"
            ]
        }
    }
}
OCI package ghcr.io/tschoonj/xraylib-mcp-server:0.1.6
Claude Code
claude mcp add xraylib-mcp-server -- docker run -i --rm ghcr.io/tschoonj/xraylib-mcp-server:0.1.6
Configuration JSON (Claude Desktop, Cursor, VS Code)
{
    "mcpServers": {
        "xraylib-mcp-server": {
            "command": "docker",
            "args": [
                "run",
                "-i",
                "--rm",
                "ghcr.io/tschoonj/xraylib-mcp-server:0.1.6"
            ]
        }
    }
}

Documentation

Tirée du README du projet sur GitHub, actualisée chaque semaine. Les liens ouvrent GitHub.

Sommaire
  1. xraylib MCP Server
  2. Table of Contents
  3. Features
  4. Installation
  5. Usage
  6. Development
  7. License
  8. Contributing

xraylib MCP Server

A Model Context Protocol (MCP) server that provides access to xraylib X-ray interaction data through a standardized interface. Query cross-sections, fluorescence lines, edge energies, and more from any MCP-compatible client.

Table of Contents

Features

This server exposes 104 tools organized into the following categories:

Utility tools
  • AtomicNumberToSymbol / SymbolToAtomicNumber -- convert between atomic numbers and element symbols
  • AtomicWeight -- atomic weight (g/mol)
  • ElementDensity -- element density (g/cm3)
  • ElectronConfig -- electron configuration for a given shell
  • CompoundParser -- parse chemical formulas (e.g. SiO2, Ca5(PO4)3F)
  • Atomic_Factors -- atomic scattering factors f0, f', f''
Line, edge, and shell properties
  • LineEnergy / EdgeEnergy -- fluorescence line and absorption edge energies (keV)
  • FluorYield / JumpFactor / RadRate -- fluorescence yields, jump factors, radiative rates
  • AtomicLevelWidth -- natural widths of atomic levels (keV)
Cross-sections (element)
  • CS_Total, CS_Photo, CS_Rayl, CS_Compt, CS_Energy, CS_KN -- mass cross-sections (cm2/g)
  • CSb_Total, CSb_Photo, CSb_Rayl, CSb_Compt -- atomic cross-sections (barn/atom)
Fluorescence cross-sections
  • CS_FluorLine / CSb_FluorLine -- line fluorescence cross-sections
  • CS_FluorShell / CSb_FluorShell -- shell fluorescence cross-sections
  • Kissel photoionization variants with full, radiative, nonradiative, and no cascade options
Differential cross-sections
  • DCS_Rayl / DCS_Compt and barn/atom variants -- unpolarized differential cross-sections
  • DCSP_Rayl / DCSP_Compt and barn/atom variants -- polarized differential cross-sections
Scattering factors
  • FF_Rayl / SF_Compt -- Rayleigh form factor and Compton scattering function
  • MomentTransf / ComptonEnergy -- momentum transfer and Compton-scattered photon energy
  • Fi / Fii -- anomalous scattering factors
  • ComptonProfile / ComptonProfile_Partial -- Compton profiles (total and per-shell)
Auger and Coster-Kronig transitions
  • AugerRate / AugerYield -- Auger transition rates and yields
  • CosKronTransProb -- Coster-Kronig transition probabilities
Compound cross-sections
  • All CS/CSb, DCS/DCSb, and DCSP/DCSPb variants for compounds (by chemical formula)
  • Kissel photoionization variants for compounds
Refractive index
  • Refractive_Index_Re / Refractive_Index_Im -- real and imaginary parts of the refractive index
NIST compounds
  • GetCompoundDataNISTByName / GetCompoundDataNISTByIndex / GetCompoundDataNISTList -- access the built-in NIST compound database
Radionuclide data
  • GetRadioNuclideDataByName / GetRadioNuclideDataByIndex / GetRadioNuclideDataList -- access the built-in radionuclide database (X-ray lines, intensities, gamma energies)
Constant listings
  • ListLineConstants / ListShellConstants / ListTransitionConstants / ListAugerConstants / ListNISTCompoundConstants -- enumerate valid constant names

Installation

uv tool install xraylib-mcp-server
Using pip
pip install xraylib-mcp-server

Usage

As a standalone server
# Run with stdio transport (for Claude Desktop, etc.)
xraylib-mcp-server

# Run with HTTP transport
xraylib-mcp-server --transport http --port 8000

# Run with SSE transport
xraylib-mcp-server --transport sse --port 8000
With Claude Desktop

Add to your Claude Desktop configuration:

{
  "mcpServers": {
    "xraylib": {
      "command": "uvx",
      "args": ["xraylib-mcp-server"]
    }
  }
}

Or using the pre-built Docker image:

{
  "mcpServers": {
    "xraylib": {
      "command": "docker",
      "args": ["run", "-i", "--rm", "ghcr.io/tschoonj/xraylib-mcp-server:latest"]
    }
  }
}
With VS Code

Add to your VS Code settings (.vscode/settings.json or user settings):

{
  "mcp.servers": {
    "xraylib": {
      "command": "uvx",
      "args": ["xraylib-mcp-server"]
    }
  }
}

Or using the pre-built Docker image:

{
  "mcp.servers": {
    "xraylib": {
      "command": "docker",
      "args": ["run", "-i", "--rm", "ghcr.io/tschoonj/xraylib-mcp-server:latest"]
    }
  }
}
With Claude Code

Add the server using the CLI:

claude mcp add xraylib -- uvx xraylib-mcp-server

Or using the pre-built Docker image:

claude mcp add xraylib -- docker run -i --rm ghcr.io/tschoonj/xraylib-mcp-server:latest
As a development server
# Run in development mode with MCP inspector
uv run mcp dev src/xraylib_mcp_server/server.py
Using Docker
Pre-built images from GitHub Container Registry
# Pull the latest image
docker pull ghcr.io/tschoonj/xraylib-mcp-server:latest

# Run with stdio transport
docker run -i --rm ghcr.io/tschoonj/xraylib-mcp-server:latest

# Run with HTTP transport on port 8000
docker run --rm -p 8000:8000 ghcr.io/tschoonj/xraylib-mcp-server:latest xraylib-mcp-server --transport http --port 8000

# Use a specific version
docker pull ghcr.io/tschoonj/xraylib-mcp-server:0.1.0
docker run -i --rm ghcr.io/tschoonj/xraylib-mcp-server:0.1.0
Local development with Docker
# Build the Docker image locally
docker build -t xraylib-mcp-server .

# Run with stdio transport
docker run -i --rm xraylib-mcp-server

# Run with HTTP transport on port 8000
docker run --rm -p 8000:8000 xraylib-mcp-server xraylib-mcp-server --transport http --port 8000

Development

Setup
# Clone the repository
git clone https://github.com/tschoonj/xraylib-mcp-server.git
cd xraylib-mcp-server

# Install development dependencies
uv sync --dev
Running tests
# Run all tests
uv run pytest

# Run with coverage
uv run pytest --cov=src/xraylib_mcp_server --cov-report=html
Code quality
# Lint
uv run ruff check .

# Format
uv run ruff format .

# Type check
uv run mypy src/ --ignore-missing-imports

License

BSD 3-Clause License -- see LICENSE for details.

Contributing

  1. Fork the repository
  2. Create a feature branch
  3. Make your changes
  4. Add tests for new functionality
  5. Run the test suite
  6. Submit a pull request

Questions fréquentes

Qu'est-ce que io.github.tschoonj/xraylib-mcp-server ?

MCP server providing X-ray interaction data via xraylib

Comment installer io.github.tschoonj/xraylib-mcp-server ?

Il s'exécute sur votre machine. Dans Claude Code : claude mcp add xraylib-mcp-server -- uvx xraylib-mcp-server==0.1.6. Pour les autres clients, collez la configuration JSON de cette page dans leurs réglages MCP.

Faut-il une clé API pour io.github.tschoonj/xraylib-mcp-server ?

Son entrée au registre n'indique aucune clé ni secret obligatoire. Certaines fonctions peuvent tout de même demander un compte auprès du service auquel il se connecte.

io.github.tschoonj/xraylib-mcp-server est-il open source ?

Oui. Son code est sur GitHub sous licence BSD-3-Clause.

Qui maintient io.github.tschoonj/xraylib-mcp-server ?

Il est publié par tschoonj. AI.tn le référence sans le maintenir ni le recommander.

Issu du registre MCP officiel. Être listé n'est pas une recommandation : vérifiez le code et les permissions d'un serveur avant de lui donner accès à vos données.