ClaudeChatGPTPerplexityGeminiMicrosoft CopilotRaycastMeta AIGrokZ.aiQwenKimi
DeepSeekMistralCursorVS CodeWindsurfJetBrainsClineLovableVercel AI SDKLangChain

Use fast-xml-parser with your AI.

Connect your account once and let the AI you already use work with it, without building another integration. Parse massive Apple Health or Google Fit XML exports safely without blowing up your AI's context window. Extracts actionable health metrics instantly.

Included with plan

Ask AI about this Connector

Developed, maintained, and hosted by Vinkius.

MCP VERIFIED · PRODUCTION READY · VINKIUS GUARANTEED

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Works with modern AI clients that support MCP, including ChatGPT, Claude, Cursor, and more.

ChatGPTClaudeCursorPerplexityGeminiMicrosoft CopilotRaycastMeta AI

Complete set · 1 capability

The complete fast-xml-parser capability set.

These are the exact actions your AI can choose when you ask it to work with fast-xml-parser.

Capability set01 / 01

01

1 capability in this set.

Part of 1 available through fast-xml-parser.

  1. 01

    Parse health export

    Provide the absolute file path to the export.xml. Parse Apple Health or Google Fit XML export files safely. It aggregates data to prevent AI context overflow

Observed, not estimated

914ms average. Fast in production.

fast-xml-parser is checked daily against the live service.

Daily averagePeak 1242ms
Aug 20Today
Fastest day
766ms
Slowest day
1242ms
14-day trend
Slowing+11%

Connect your client

One URL. Every client.

Activate the Connector, copy your link, and paste it into the client you already use. 1 capability arrives ready to run.

Preview access · not provider authentication

The vk_preview_* token belongs to Vinkius preview infrastructure. It lets Claude discover and display the capabilities of fast-xml-parser, so you can see the experience inside your AI.

It does not authenticate your account with fast-xml-parser. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.

fast-xml-parser Connector

You're all set. Choose your MCP client and follow the setup instructions.

Connector linkhttps://edge.vinkius.com/vk_preview_izt8YYlP2e8qd3u4pL8fA9ekld5jdITBzS2X1sY3/mcp

Claude Desktop

Follow the steps below to connect in seconds.

  1. 1In Claude Desktop, open Settings → Connectors.
  2. 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
  3. 3Click Add and start a new chat — fast-xml-parser capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "health-xml-export-parser-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_izt8YYlP2e8qd3u4pL8fA9ekld5jdITBzS2X1sY3/mcp"
    }
  }
}
  • Claude
  • ChatGPT
  • Cursor
  • VS Code
  • Windsurf
  • Claude Code
  • JetBrains
  • Cline

Step-by-step instructions for each client are in the guide. How to connect

FAQ

Questions fast-xml-parser owners ask.

  • 01

    Will it send my raw heart rate data to the AI?

    No, to protect your privacy and token limit, it only sends a summary of what data exists (the schema) and a tiny sample (the first 50 records) to Claude. The rest never leaves your computer.

  • 02

    Can it process a 1GB Apple Health export file?

    Yes, the XML parser is highly optimized. However, parsing massive 1GB XML files requires sufficient available RAM on your local machine.

  • 03

    Does it work with Google Fit?

    Yes! If Google Fit data is exported as an XML structure, this engine will parse and summarize its root nodes perfectly.