Vinkius

Health XML Export Parser MCP. Stop crashing your AI with massive health files.

The Health XML Export Parser handles huge Apple Health or Google Fit XML files safely. Stop giving your AI client massive, unmanageable data dumps that crash its context window. This MCP locally parses multi-megabyte health exports, aggregating millions of records (like step counts and heart rates) into structured summaries the AI can actually read.

Health XML Export Parser MCP is compatible with Claude Claude
Health XML Export Parser MCP is compatible with ChatGPT ChatGPT
Health XML Export Parser MCP is compatible with Cursor Cursor
Health XML Export Parser MCP is compatible with Gemini Gemini
Health XML Export Parser MCP is compatible with Windsurf Windsurf
Health XML Export Parser MCP is compatible with VS Code VS Code
Health XML Export Parser MCP is compatible with JetBrains JetBrains
Health XML Export Parser MCP is compatible with Vercel Vercel
See Vinkius in Action

Give Claude and any AI agent real-world access

Analyze raw export files

You provide the file path and the tool parses massive Apple Health or Google Fit XML exports safely.

Waiting for input…

AI Agent
Health XML Export Parser

What AI agents can do with Health XML Export Parser MCP (1 Tool)

These tools allow you to parse and summarize massive, complex health data export files without overwhelming your AI client's context window.

Make your AI actually useful.

Add this MCP to Claude, Cursor, or Windsurf and your AI stops guessing. It gets real tools to look things up, take action, and handle the stuff you keep doing by hand.

Start using Health XML Export Parser MCP

Parse Health Export

Provide the file path to parse Apple Health or Google Fit XML exports, aggregating data to prevent context overflow.

Security and governance baked right in.

Pick your AI client below to get set up. Just create a Vinkius account, subscribe, and you're instantly up and running. We handle the entire backend infrastructure, delivering out-of-the-box support for HTTPS Streamable, SSE, and OAuth2—zero messy routing required.

Health XML Export Parser MCP is compatible with Claude

Claude AI

1

Open Claude Settings

Go to claude.ai, click your profile icon, then navigate to Customize → Connectors.

2

Add Custom Connector

Click the "+" button and select Add custom connector. Paste your Vinkius endpoint URL:

https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp

Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. For OAuth-protected servers, expand Advanced settings to add credentials.

3

Start a conversation

Open a new chat. The Health XML Export Parser integration is available immediately — no restart needed.

Choose How to Get Started

Build a custom MCP for your own tools, or connect a ready-made integration from our catalog.

Build Your Own

Turn any API into an MCP. Import a spec, define Agent Skills, or deploy with MCPFusion.

  • Import from OpenAPI, Swagger, or YAML specs
  • Create Agent Skills with progressive disclosure
  • Deploy to edge with MCPFusion framework
  • Built in DLP, auth, and compliance on each call
  • Real time usage dashboard and cost metering
  • Publish to catalog or keep private
Start building

Make Your AI Do More

Start with Health XML Export Parser, then connect any of our 5,200+ other servers whenever your AI needs more. One click, no limits.

  • Use this MCP plus 5,200+ others, all in one place
  • Add new capabilities to your AI anytime you want
  • Connections are secured and governed automatically
  • Track usage and costs across all your servers
  • Works with Claude, ChatGPT, Cursor, and more
  • New servers added to the catalog weekly
Health XML Export Parser MCP server cover

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by fast-xml-parser. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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The pain of raw biometrics data

Right now, if you want your AI agent to analyze your health history—say, tracking sleep patterns over a year—you have to deal with XML files that are huge. You download the export, and when you try to give it to Claude or Cursor, the sheer volume of tags and numbers crashes the session immediately. You're left staring at an error message because the raw data is too massive for any chat window.

With this MCP, you point your agent at the file path using `parse_health_export`. The tool runs locally, parsing out the noise and giving your AI client a clean summary: 'This dataset has 1.2 million StepCounts, 500k HeartRates.' Suddenly, that multi-megabyte problem is solved, and you're talking to an agent that knows exactly what data it's working with.

Get actionable insights using parse_health_export

Manual analysis requires opening the file in specialized software, manually filtering by date range or metric type, and then copy-pasting small, digestible chunks of data into a separate spreadsheet. This process is time-consuming, error-prone, and doesn't help your AI agent at all.

By using `parse_health_export`, the entire workflow changes. You get immediate, actionable summaries of record types and totals in one step. Your agent moves from being overwhelmed by data to actively analyzing it.

What Health XML Export Parser MCP does for your AI

Trying to feed an entire year's worth of biometric data—think hundreds of megabytes—into a chat interface is a recipe for failure. Your AI client will crash before it even gets past the raw text dump. This MCP solves that problem by running a high-performance parser locally on your machine. Instead of sending millions of individual lines to your agent, it intelligently analyzes the file's structure and aggregates the data.

It tells the AI exactly what types of records exist—like StepCount or SleepAnalysis—and provides total counts along with safe samples for deeper inspection. This whole process keeps all sensitive health data private because it never leaves your local machine. When you connect this MCP through Vinkius, you get reliable access to powerful data processing without any context window limits.

Built · Hosted · Managed by Vinkius Health XML Export Parser - Analyze Biometric Data
Server ID 019e38a6-ed42-71e0-a6df-fe3b585a4b1f
Vinkius Inspector
Compliance Grade A+
Score 100/100
Vinkius Inspector Badge — Score 100/100

Frequently asked questions about Health XML Export Parser MCP

Can I use Health XML Export Parser for Google Fit files? +

Yes, this MCP is designed to handle both Apple Health and Google Fit XML exports. You simply provide the file path, and the parser handles the specific structure of either export type.

Does using parse_health_export affect my data privacy? +

No. The parsing happens entirely on your local machine. Your sensitive health metrics are never uploaded or stored anywhere outside of your controlled environment.

What is the maximum size file that parse_health_export can handle? +

It is built for multi-megabyte files, designed specifically to prevent context window overflow. It aggregates data intelligently rather than transmitting the full raw text.

Does this MCP help me analyze step counts or heart rates? +

Yes, it first identifies that those metrics exist and provides their total count. Your agent then uses that structured summary to run detailed analysis on them.

Do I need to write any code to use Health XML Export Parser? +

No. You just interact with the tool by providing the file path, and your AI client handles the rest of the data processing automatically.