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Connect Health XML Export Parser to ChatGPT and Claude

Set it up once and it works in ChatGPT, Claude, Cursor, and any other client you love. It all runs safely in the background, so you can relax and focus on what really matters. Turn massive health data exports into actionable insights.

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

Your AI does the work. We keep it safe and sound.

No other AI tool gives you this. Your workflow runs in the client you already love, your account stays protected, and you decide what the agent can and cannot do. It is the whole reason to make the switch.

Each Connector lives inside our infrastructure, the same place where your workflow runs. The three things below are already part of it, working quietly in the background so you never have to think about them. Nothing to add, nothing to set up, nothing to worry about.

A futuristic MCP client docking bay
V8 Isolate01

Each Connector runs inside its own sealed environment.

Each Connector runs inside its own sealed V8 runtime — no access to your files, your system, or other servers. A Connector never sees past its own request.

Kill Switch02

One switch stops every agent. Instantly.

One action deactivates every Connector, revokes every token, and ends every session at once. AI Governance keeps the record.

FinOps per User03

Spending limits that pause instead of surprise.

Every user keeps their own connections and credentials, isolated from everyone else. Anything that would cross your spending limit is held for your approval, not billed.

Three controls, built into the layer your AI connects through.

Curated set · 1 capability

We ship only the actions that matter.

Capability set01 / 01

01

1 capability in this set.

Part of 1 available through Health XML Export Parser.

  1. 01

    Parse health export

    This capability parses Apple Health or Google Fit XML files by aggregating data to prevent context overflow in your AI client. You just provide the absolute file path to the export.xml.

Real work

What teams actually run

01

Trend Analysis

Ask your agent to find how your resting heart rate has changed over the last six months.

02

Device Auditing

Identify which specific wearables contributed most to your health data logs.

03

Sleep Pattern Research

Examine the specific data formats and values used to track sleep stages.

04

Data Cleaning

Use the aggregated counts to understand the structure of your health data before performing complex queries.

Automate a task

Put Health XML Export Parser to work on one thing.

Step-by-step automations your AI runs through this Connector: the workflow, the prompts to start with, and the exact capabilities behind each move.

One connector, every AI

Health XML Export Parser works with the most popular AI clients.

These are the most popular clients, each with a step-by-step guide: one link, set up once, with governance and visibility built in. And because everything runs on the MCP standard, the same connection also works in any other compatible client — nothing to rebuild.

ClaudeClaudeChatGPTChatGPTGeminiGeminiPerplexityPerplexityGrokGrokMicrosoft CopilotMicrosoft CopilotCursorCursorVS CodeVS CodeWindsurfWindsurfJetBrainsJetBrainsClineClineLangChainLangChainVercel AI SDKVercel AI SDKLovableLovableZ.aiZ.aiRaycastRaycastQwen CodeQwen CodeKimi CodeKimi CodeLe ChatLe Chat

Building your own app? The connector is yours to use.

You don't need a client to put Health XML Export Parser to work: the same hosted connection plugs into your own applications and agent code, with the same governance on every request. Build with it, chat with it — one connection for both.

Observed, not estimated

896ms average. Fast in production.

Health XML Export Parser is checked daily against the live service.

Daily averagePeak 1129ms
Oct 3Today
Fastest day
706ms
Slowest day
1129ms
14-day trend
Stable+3%

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 Health XML Export Parser, so you can see the experience inside your AI.

It does not authenticate your account with Health XML Export Parser. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.

Health XML Export 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 — Health XML Export 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

Guided setup for Claude? Set up Health XML Export Parser in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work Health XML Export Parser owners hand off.

This is for anyone looking to analyze personal health trends using AI without manual data processing.

  • 01

    Health Enthusiasts

    People who want to ask their AI about long-term fitness trends from their wearable devices.

  • 02

    Data Analysts

    Professionals who need to quickly summarize large health datasets for research or reporting.

  • 03

    Biohackers

    Users tracking specific longevity metrics who need to turn raw sensor data into insights.

FAQ

Questions Health XML Export Parser owners ask.

  • 01

    Will this crash my Claude window?

    No. The MCP aggregates the data locally so your AI client only receives a summary instead of millions of lines of raw text.

  • 02

    Is my health data private?

    Yes. This MCP parses the files locally on your machine, keeping your sensitive health information air-gapped.

  • 03

    What health files can I use?

    This MCP is designed for Apple Health and Google Fit XML export files.

  • 04

    How does it handle huge files?

    It uses a high-performance parser to process multi-megabyte files without overwhelming the AI's context window.

  • 05

    Can I use this with Cursor or Windsurf?

    Yes. This MCP works with any MCP-compatible client, including Claude, Cursor, and Windsurf.

  • 06

    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.

  • 07

    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.

  • 08

    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.

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