How to Use the Health XML Export Parser MCP in VS Code Copilot

Q: What's the best way to deploy the Health XML Export Parser for my team using VS Code Copilot?

Add the server configuration to a .vscode/mcp.json file and commit it to your project's Git repository. Every team member who pulls that repo will have the tool available in Copilot automatically.

Let your whole team analyze health data in VS Code Copilot. This parser makes massive XML exports usable for everyone.

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Connect Health XML Export Parser MCP to VS Code Copilot

Create your Vinkius account to connect Health XML Export Parser to VS Code Copilot 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 VS Code Copilot

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Shared Config for Your Whole Team

Commit the MCP server config to your repo's `.vscode/mcp.json` file. Now every developer on the team gets the `parse_health_export` tool automatically. No individual setup required. This standardizes how your team interacts with health data. Anyone can ask Copilot's agent to process a large `export.xml` and get the same, consistent summary of metrics. It removes guesswork and ensures everyone is on the same page.

Safe XML Parsing for VS Code Copilot

Feeding a 2GB XML file directly to Copilot will fail. The `parse_health_export` tool acts as a safe go-between. It processes the file on its own and gives the agent a concise JSON summary. Your agent gets the key data—steps, heart rate, energy burned—without the noise. This lets you have a productive conversation about the data, asking for insights or code snippets, instead of just hitting context limits.

Reliable Data Ingestion

Stop writing one-off scripts to handle health data ingestion. This tool is a reliable, tested way to get from a raw Apple Health or Google Fit export to structured data your application can use. Use `parse_health_export` in your workflow to quickly check data quality or feed sample data into your test suites. It's a dependable piece of your development toolkit, right inside VS Code.

Setup guide

Set up Health XML Export Parser MCP in VS Code Copilot

Prerequisites

VS Code 1.99 or later with GitHub Copilot extension
Active Vinkius subscription with a valid endpoint token

1

Open MCP configuration

Open the Command Palette (Cmd+Shift+P / Ctrl+Shift+P) and run "MCP: Add Server". Select HTTP (Streamable) as the server type. VS Code will create .vscode/mcp.json in your workspace.
2

Add the Health XML Export Parser MCP

Paste the JSON snippet shown on the right into your .vscode/mcp.json. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.
3

Switch to Agent mode

Open Copilot Chat (Cmd+Shift+I / Ctrl+Shift+I) and switch to Agent mode using the dropdown. MCP tools are only available in Agent mode — they do not appear in Edit or Ask modes.
4

Verify the connection

In the Copilot Chat input, type # to list available tools. You should see the Health XML Export Parser tools listed. Try asking: "List my recent Health XML Export Parser transactions" and Copilot will invoke them automatically.

.vscode/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 VS Code Copilot

It gives Copilot's agent a safe way to access data from large health XML files. Your team can use the agent to analyze data and write code without crashing the session or manually cleaning files first.

It focuses on common, high-signal metrics like HeartRate, StepCount, and ActiveEnergyBurned. This provides a useful overview for analysis while keeping the output small enough for the agent's context window.

The current version extracts a fixed set of core metrics to ensure consistent, predictable output across the team. Customizing the extracted data isn't supported out of the box.

Add the server configuration to a `.vscode/mcp.json` file and commit it to your project's Git repository. Every team member who pulls that repo will have the tool available in Copilot automatically.

The server processes the Apple Health or Google Fit XML export on the machine where it's configured to run. If you set it up as a local process in your `.vscode/mcp.json`, your data stays on your machine. If you point to a remote Vinkius-hosted server, the file is processed there in an ephemeral, zero-trust sandbox.

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