X-Ray Lib

v0.1.6Data Science & MLstable

MCP server providing X-ray interaction data via xraylib

io-github-tschoonj-xraylibmcpai-integration
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What is X-Ray Lib?

X-Ray Lib is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to mcp server providing x-ray interaction data via xraylib

MCP server providing X-ray interaction data via xraylib

This server falls under the Data Science & ML category on MCPgee, the world's largest MCP server directory with 33,000+ servers.

Features

  • MCP server providing X-ray interaction data via xraylib

Use Cases

Access X-ray interaction data and physics calculations.
Perform spectroscopy and radiation physics computations.
Community

Maintainer

LicenseMIT
Languagepython
Versionv0.1.6
UpdatedApr 14, 2026
Statushealthy
Maintenanceactive

Works with

ClaudeOpenAIwindowsmacoslinux

Installation

PIP

pip install xraylib-mcp-server

Manual Installation

pip install xraylib-mcp-server

Configuration

Configuration Details

Config File

claude_desktop_config.json

Performance

Response Metrics

Response Time< 200ms
ThroughputMedium

Resource Usage

Memory UsageLow
CPU UsageLow

Frequently Asked Questions about X-Ray Lib

What is X-Ray Lib?

X-Ray Lib is a Model Context Protocol (MCP) server that mcp server providing x-ray interaction data via xraylib It connects AI assistants to external tools and data sources through a standardized interface.

How do I install X-Ray Lib?

Install via pip with: pip install xraylib-mcp-server. Then configure your AI client to connect to this MCP server.

Which AI clients work with X-Ray Lib?

X-Ray Lib works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.

Is X-Ray Lib free to use?

Yes, X-Ray Lib is open source and available under the MIT license. You can use it freely in both personal and commercial projects.

Browse More Data Science & ML MCP Servers

Explore all data science & ml servers available in the MCPgee directory. Each server includes setup guides for Claude, Cursor, and VS Code.

Quick Config Preview

{ "mcpServers": { "io-github-tschoonj-xraylib": { "command": "pip", "args": ["install", "xraylib-mcp-server"] } } }

Add this to your claude_desktop_config.json or .cursor/mcp.json

Read the full setup guide →

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