How to Use the Health XML Export Parser MCP in Cursor

Q: How do I set up the Health XML Export Parser for my project in Cursor?

Add the server configuration to your project's .cursor/mcp.json file. Once you do, the parsehealthexport tool becomes available to the agent in that specific workspace. It's project-scoped tooling.

Inject real health data directly into your code. Cursor's agent uses this to parse massive XML exports without leaving the editor.

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Connect Health XML Export Parser MCP to Cursor

Create your Vinkius account to connect Health XML Export Parser to Cursor and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Health XML Export Parser with Cursor

Ask AI about this MCP

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Claude

Perplexity

Generate Code with Real Data

The `parse_health_export` tool feeds structured health data directly to Cursor's agent. Tell the agent to parse your local `export.xml` and then ask it to write a function to visualize the output. The agent won't just generate a stub with placeholder values. It will write Python or TypeScript code populated with actual step counts and heart rate data from the file. You go from raw data to working code in a single step.

Analyze Data Inside Your Cursor MCP Server

Don't break your flow by switching to a Jupyter notebook or another external tool. The Health XML Export Parser runs right inside your project. You can analyze years of health data without ever leaving your code editor. Just point `parse_health_export` at the file path. The agent gets the summary and you can immediately ask it to refactor code, find patterns, or build an API endpoint based on the real data.

Handle Multi-Gigabyte Files

Standard parsers choke on huge health exports. This MCP server uses a streaming parser, so it reads the file piece by piece. It doesn't matter if your export is 500MB or 5GB. Your agent can use `parse_health_export` to process a user's entire health history without crashing or running out of memory. It's built for the kind of large datasets that are common with health tracking.

Setup guide

Set up Health XML Export Parser MCP in Cursor

Prerequisites

Cursor installed (macOS, Windows, or Linux)
Active Vinkius subscription with a valid endpoint token

1

Open MCP Settings

Go to Cursor Settings → MCP or open the Command Palette (Cmd+Shift+P / Ctrl+Shift+P) and search for "MCP: Add Server".
2

Add the Health XML Export Parser MCP

Cursor will create or open .cursor/mcp.json in your project root. Paste the JSON snippet on the right. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.
3

Enable Agent mode

Open Composer (Cmd+I / Ctrl+I) and switch to Agent mode using the dropdown at the top. MCP tools are only available in Agent mode.
4

Verify the connection

Ask Cursor something like "List my recent Health XML Export Parser transactions." If the MCP tools are loaded correctly, Cursor will call the Health XML Export Parser tools automatically. You can also check Settings → MCP for a green status indicator.

.cursor/mcp.json

{
  "mcpServers": {
    "health-xml-export-parser-mcp": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

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Common questions about Health XML Export Parser MCP in Cursor

It lets your agent access real data from the start. Ask the agent to use `parse_health_export` on a sample file, then tell it to build a data model or API based on the extracted metrics like StepCount. You build with real data, not mock data.

No, and that's the point. It extracts high-value metrics like heart rate and steps to avoid overflowing your agent's context window. This gives the agent a useful summary to work with, not a wall of noise.

Add the server configuration to your project's `.cursor/mcp.json` file. Once you do, the `parse_health_export` tool becomes available to the agent in that specific workspace. It's project-scoped tooling.

It's specifically built for the XML export formats from Apple Health and Google Fit. If your device syncs to one of those platforms, you can export the data from there and use this tool.

No. The tool runs locally on your machine as part of your development environment. It reads the local Apple Health or Google Fit XML export file you specify, processes it, and returns the summary to Cursor's agent. Your personal health information is not uploaded to any third-party service.

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