Compatible with every major AI agent and IDE
What is the WhatsApp Chat Export Parser MCP Server?
You know that address your landlord sent you 3 months ago in WhatsApp? Or that restaurant recommendation from Maria? Good luck scrolling through thousands of messages to find it.
This MCP solves the universal WhatsApp search problem. When you export any chat via WhatsApp's built-in 'Export Chat' feature, you get a .txt file. This engine parses it entirely local using dual-locale regex, extracting every message with its exact timestamp, sender, and content into a structured JSON. The AI can then instantly search, filter, and summarize your entire conversation history.
The Superpowers
- Dual-Locale Parsing: Handles both US format
[1/15/23, 10:30 AM]and EU format15/01/2023, 10:30 -automatically. - Token-Safe: For massive chats, it sends only the first 100 and last 50 messages plus participant stats, preventing context crashes.
- 100% Air-Gapped Privacy: Your private conversations are parsed locally. Zero cloud uploads.
- 2 Billion Potential Users: Everyone with WhatsApp can use this instantly.
Built-in capabilities (1)
They can export any chat from WhatsApp > Chat > Export Chat. Parse an exported WhatsApp chat .txt file offline. Extracts messages, senders, timestamps, and participant statistics
Why Mastra AI?
Mastra's agent abstraction provides a clean separation between LLM logic and WhatsApp Chat Export Parser tool infrastructure. Connect 1 tools through Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution. deployable to any Node.js host in one command.
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Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add WhatsApp Chat Export Parser without touching business code
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Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation
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TypeScript-native: full type inference for every WhatsApp Chat Export Parser tool response with IDE autocomplete and compile-time checks
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One-command deployment to any Node.js host. Vercel, Railway, Fly.io, or your own infrastructure
WhatsApp Chat Export Parser in Mastra AI
WhatsApp Chat Export Parser and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect WhatsApp Chat Export Parser to Mastra AI through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.
Raw MCP | Vinkius | |
|---|---|---|
| Server catalog | Find and host yourself | 4,000+ managed |
| Infrastructure | Self-hosted | Sandboxed V8 isolates |
| Credential handling | Plaintext in config | Vault + runtime injection |
| Data loss prevention | None | Configurable DLP policies |
| Kill switch | None | Global instant shutdown |
| Financial circuit breakers | None | Per-server limits + alerts |
| Audit trail | None | Ed25519 signed logs |
| SIEM log streaming | None | Splunk, Datadog, Webhook |
| Honeytokens | None | Canary alerts on leak |
| Custom domains | Not applicable | DNS challenge verified |
| GDPR compliance | Manual effort | Automated purge + export |
Why teams choose Vinkius for WhatsApp Chat Export Parser in Mastra AI
The WhatsApp Chat Export Parser MCP Server runs on Vinkius-managed infrastructure inside AWS — a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts. All 1 tools execute in hardened sandboxes optimized for native MCP execution.
Your AI agents in Mastra AI only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
How Vinkius secures
WhatsApp Chat Export Parser for Mastra AI
Every tool call from Mastra AI to the WhatsApp Chat Export Parser MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
Are my private chats sent to the cloud?
Never. The parsing is 100% local. Only the structured text representation is sent to the AI chat context during your session.
How do I export a WhatsApp chat?
Open the chat in WhatsApp, tap the three dots > More > Export Chat > Without Media. Save the .txt file to your computer.
What if the chat has 50,000 messages?
The engine uses a token-safe strategy: it sends only the first 100 and last 50 messages, plus full participant stats. Ask the AI to filter by sender or date for specific results.
How does Mastra AI connect to MCP servers?
Create an MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.
Can Mastra agents use tools from multiple servers?
Yes. Pass multiple MCP clients to the agent constructor. Mastra merges all tool schemas and the agent can call any tool from any server.
Does Mastra support workflow orchestration?
Yes. Mastra has a built-in workflow engine that lets you chain MCP tool calls with branching logic, error handling, and parallel execution.
createMCPClient not exported
Install: npm install @mastra/mcp
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