How to Use the vCard Contacts Parser MCP in Cursor

Q: How do I use vCard Contacts Parser with Cursor?

You add the server configuration to your project's .cursor/mcp.json file and enable Agent mode in chat. The AI will then be able to call the parsing tools directly within your coding context.

Live data context for Cursor. Use the vCard Contacts Parser to inject real API responses directly into your code.

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Connect vCard Contacts Parser MCP to Cursor

Create your Vinkius account to connect vCard Contacts 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 vCard Contacts Parser with Cursor

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Injecting Parsed Data via MCP Server

When you're writing code and need structured input, the AI agent can call `parse_kindle_clippings`. Instead of getting fake mock data, your editor gets real JSON output from the parsed text. This lets you immediately use that live context—like a list of notes or highlights—in your function calls or variables.

Structuring Content with Cursor

The `vcard-contacts-parser-mcp` tool takes raw text and outputs usable JSON. This capability is essential when dealing with exports that aren't perfectly clean, like those you get from a Kindle device. It makes complex parsing jobs simple enough to embed directly into your code flow.

vCard Contacts Parser for Code Context

You can use this MCP Server tool to process and structure data streams that need JSON formatting. This is perfect when you're integrating external, text-based records—like contact info or clippings—into your active project code. It makes the AI context hyper-specific to the live data you've provided.

Setup guide

Set up vCard Contacts 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 vCard Contacts 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 vCard Contacts Parser transactions." If the MCP tools are loaded correctly, Cursor will call the vCard Contacts Parser tools automatically. You can also check Settings → MCP for a green status indicator.

.cursor/mcp.json

{
  "mcpServers": {
    "vcard-contacts-parser-mcp": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by vcard-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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Common questions about vCard Contacts Parser MCP in Cursor

You add the server configuration to your project's `.cursor/mcp.json` file and enable Agent mode in chat. The AI will then be able to call the parsing tools directly within your coding context.

Yes. By defining the server in your project scope, you ensure that the Agent mode can access and run the MCP Server's tools using local file paths or internal endpoints.

It converts raw text input—like Kindle 'My Clippings.txt' content—into structured JSON format. This is what you inject into your code, not just a summary.

Yes. The Agent mode in Cursor automatically detects and makes available tools defined in your project's `mcp.json`, including this parser.

It handles raw text exports, specifically Kindle highlights, notes, and bookmarks from 'My Clippings.txt'.

Use it with your favorite AI tools

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