How to Use the WhatsApp Chat Export Parser MCP in Cursor

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Connect WhatsApp Chat Export Parser MCP to Cursor

Create your Vinkius account to connect WhatsApp Chat 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 WhatsApp Chat Export Parser with Cursor

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Code using parsed chat history.

The `parse_whatsapp_chat` tool takes a raw chat export file, structuring it into clean JSON. Your AI client then uses that live context to generate working code snippets directly in your editor. It's not mock data; the agent injects actual names or dates found in the parsed chats right where you need them in your functions.

Contextual data injection.

Need to reference a specific name or event from an old chat? The `parse_whatsapp_chat` tool extracts that detail and feeds it into the agent's context. As you write, the AI uses that live API response to fill out your code. This keeps your workflow mid-code; you don’t have to switch tabs or leave Cursor just to get data.

Agent mode analysis of chat logs.

When in Agent mode, the AI can automatically run `parse_whatsapp_chat` against a file you provide. It then analyzes the resulting JSON—pulling out participant statistics or message senders—and helps you write code based on those findings. It's powerful for quickly modeling real-world data into software features.

Setup guide

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

.cursor/mcp.json

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

Get your connection token →

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Common questions about WhatsApp Chat Export Parser MCP in Cursor

You configure the MCP Server in your project scope, then run it via Agent mode. The agent calls `parse_whatsapp_chat` to turn a chat export into structured data that you can immediately use while coding.

Yes. After the tool runs, it provides timestamps in JSON format. You can then write code that filters or validates those specific date ranges within your project structure.

It processes chat exports to extract messages, senders, timestamps, and participant statistics. This structured output is what the AI agent uses to write functional code for you.

Totally. If your export file has thousands of entries, the tool handles it efficiently, giving your AI client a rich JSON context that prevents generic or stubbed code generation.

The server touches messages, senders, timestamps, and participant statistics extracted from the chat file. This data is used to generate local code context within your editor.

Use it with your favorite AI tools

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