How to Use the WhatsApp Chat Export Parser MCP in OpenAI Agents SDK

Q: Does this MCP Server handle different chat sources?

No, the parsewhatsappchat tool is specifically built to parse exported WhatsApp chat .txt files. It handles that particular format reliably.

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Connect WhatsApp Chat Export Parser MCP to OpenAI Agents SDK

Create your Vinkius account to connect WhatsApp Chat Export Parser to OpenAI Agents SDK 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 OpenAI Agents SDK

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Extracting Data with the MCP Server

The `parse_whatsapp_chat` tool takes your exported WhatsApp chat `.txt` file and turns that mess into clean JSON. This makes years of conversations searchable for your agent. It doesn't just read it; it structures it. You can now build complex workflows around the parsed data, letting agents find specific records or summarize entire threads.

Finding Lost Information

Need to locate an old address or a specific phone number mentioned deep in the chat history? The agent can search these structured fields. It pulls out key details that would be invisible when reading raw text. This capability lets your AI client find actionable data points—like names, dates, and locations—without you having to manually sift through thousands of messages.

Participant Analysis

The tool extracts participant statistics alongside the messages. You get a clear breakdown of who talked to whom and how often. This is crucial for understanding group dynamics or identifying key contributors. The structured JSON format makes these stats immediately usable by any specialized agent you build.

Setup guide

Set up WhatsApp Chat Export Parser MCP in OpenAI Agents SDK

Prerequisites

Python 3.10+ installed
openai-agents package (pip install openai-agents)
Active Vinkius subscription with a valid endpoint token

1

Install the SDK

Run pip install openai-agents to install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed.
2

Connect via SSE transport

Use MCPServerSse with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. The SDK auto-discovers all WhatsApp Chat Export Parser tools at runtime.
3

Create your Agent

Pass the MCP to Agent(mcp_servers=[server]). The agent receives WhatsApp Chat Export Parser tools as native definitions — JSON schemas resolve automatically.
4

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate WhatsApp Chat Export Parser tools and returns structured results. Copy the full example on the right to get started.

agent.py

import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerSse

async def main():
    async with MCPServerSse(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as server:
        agent = Agent(
            name="WhatsApp Chat Export Parser Agent",
            instructions="You have access to WhatsApp Chat Export Parser tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

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Common questions about WhatsApp Chat Export Parser MCP in OpenAI Agents SDK

You pass the MCP Server instance to your Agent constructor. The agents will auto-discover the `parse_whatsapp_chat` tool, meaning you just tell them what you want analyzed, and they handle the rest.

Absolutely. The server is designed to process large chat exports. Once parsed into structured JSON, your agent can query years of conversations locally, giving you deep historical context.

It extracts messages, senders, timestamps, and participant statistics. This highly structured JSON output makes it easy for your agent to run reports or find specific data types.

No, the `parse_whatsapp_chat` tool is specifically built to parse exported WhatsApp chat `.txt` files. It handles that particular format reliably.

This server touches personal communication data, including messages, senders, timestamps, and participant statistics found within the chat export file.

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