How to Use the WhatsApp Chat Export Parser MCP in Mastra AI

Q: Does the WhatsApp Chat Export Parser support filtering chat transcripts when using Mastra AI?

Yes, once parsewhatsappchat delivers structured JSON, your workflow can use conditional branching to filter results. For instance, you could retry analysis only on chats exceeding 50 messages.

Build reliable, multi-step chat analysis pipelines with Mastra AI.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect WhatsApp Chat Export Parser MCP to Mastra AI

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

GDPR Free for Subscribers

Setup WhatsApp Chat Export Parser with Mastra AI

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Workflow for Chat Analysis

The `parse_whatsapp_chat` tool takes exported WhatsApp files and cleans them into structured JSON. Use this MCP Server within a complex workflow to analyze chats step-by-step. Mastra AI's built-in retry logic means if the initial parsing fails, your system tries again with different parameters until it succeeds.

Extracting Chat Metrics

The tool extracts more than just messages; it calculates participant statistics and records senders. This MCP Server allows you to build reliable workflows that require these specific metrics. Since Mastra AI handles failures gracefully, your analysis pipeline won't break if a chat transcript is oddly formatted.

Handling Complex Inputs

Need to run the parser on many files? The `parse_whatsapp_chat` tool processes exported WhatsApp chats offline. Your Mastra AI workflow can manage batches of these inputs, ensuring every file gets parsed correctly. This makes building robust operational systems around chat transcripts straightforward.

Setup guide

Set up WhatsApp Chat Export Parser MCP in Mastra AI

Prerequisites

Node.js 18+ and a TypeScript project
@mastra/mcp + @mastra/core packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run npm install @mastra/mcp @mastra/core plus your preferred model provider (e.g. @ai-sdk/openai).
2

Configure the MCPClient
Create an MCPClient with your Vinkius endpoint as a URL object. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Discover and inject tools
Call mcpClient.listTools() and spread the result into your agent's tools object. All WhatsApp Chat Export Parser tools become native Mastra tools.
4

Run with any model
Swap openai("gpt-4o") for any AI SDK-compatible provider. Call agent.generate() and the agent routes tool calls through MCP automatically.

agent.ts

import { MCPClient } from "@mastra/mcp";
import { Agent } from "@mastra/core/agent";
import { openai } from "@ai-sdk/openai";

const mcpClient = new MCPClient({
  id: "whatsapp-chat-export-parser-mcp-client",
  servers: {
    "whatsapp-chat-export-parser-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

const agent = new Agent({
  name: "WhatsApp Chat Export Parser Agent",
  model: openai("gpt-4o"),
  instructions: "You have access to WhatsApp Chat Export Parser tools.",
  tools: {
    ...(await mcpClient.listTools()),
  },
});

const result = await agent.generate(
  "List recent WhatsApp Chat Export Parser transactions"
);
console.log(result.text);

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by whatsapp-export. 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.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect WhatsApp Chat Export Parser now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about WhatsApp Chat Export Parser MCP in Mastra AI

You configure a multi-step workflow in Mastra AI. If the parsing step fails, the system automatically retries calling `parse_whatsapp_chat` with exponential backoff until it gets clean JSON.

The MCP Server standardizes the input, accepting any exported WhatsApp file. Your Mastra AI client handles the complex orchestration of calling this server regardless of how many files you feed it.

Yes, once `parse_whatsapp_chat` delivers structured JSON, your workflow can use conditional branching to filter results. For instance, you could retry analysis only on chats exceeding 50 messages.

Absolutely. Since the MCP Server outputs clean JSON, you can easily pass that data to any downstream system or API call within your Mastra AI workflow.

This server processes raw text data from chat transcripts. It extracts message content, sender identities, and time stamps for analysis.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python