Este artigo ainda não está disponível no seu idioma. Mostrando a versão em inglês.
AI assistants like Claude and ChatGPT are no longer limited to answering questions. With MCP, they can take real actions in the tools you use every day — including WhatsApp.
This guide covers what MCP is, how a WhatsApp MCP server works, and how to set one up with WhatsTeam so your AI assistant can read messages, send replies, manage contacts, and trigger campaigns — all without leaving the AI interface.
MCP stands for Model Context Protocol. It is an open standard created by Anthropic (the company behind Claude) that lets AI assistants connect to external tools and take actions in them.
Before MCP, AI assistants could only work with text you pasted into them. If you wanted Claude to help with a WhatsApp conversation, you had to copy the messages, paste them into Claude, get a response, and then copy it back. MCP removes that friction entirely.
Here is how it works at a high level:
MCP is gaining adoption fast. Claude Code, Claude Desktop, ChatGPT, VS Code Copilot, and Cursor all support MCP connectors. The ecosystem is growing every week as more tools publish their own MCP servers.
A WhatsApp MCP server is the bridge between an AI assistant and your WhatsApp account. It exposes your WhatsApp capabilities — messages, contacts, campaigns, groups — as structured tools that an AI assistant can understand and use.
Without an MCP server, your AI assistant has no way to interact with WhatsApp. With one, you can say things like:
The AI assistant understands the intent, calls the right MCP tool, and executes the action on your WhatsApp account.
Here is a concrete breakdown of what becomes possible when you connect an AI assistant to WhatsApp through MCP:
Your AI assistant can pull recent messages from any chat, search across conversations, and send replies — all from a single prompt. No tab switching, no copy-pasting.
Create groups, add participants, update contact labels, and organize your WhatsApp contacts using natural language commands.
Launch bulk messaging campaigns, schedule delivery, and track results. Tell your AI assistant "send the April promo to all contacts labeled VIP" and it handles the rest.
Ask your AI assistant to summarize recent conversations, identify unhappy customers, track response times, or find messages about a specific topic.
Developers can chain MCP tools together to build sophisticated automation: a support agent that reads incoming messages, classifies them, drafts responses, and escalates when needed — all running through the AI assistant.
WhatsTeam provides a production-ready MCP server that connects your WhatsApp Business account to any compatible AI assistant.
The architecture is straightforward:
Your AI Assistant (Claude, ChatGPT, Copilot, Cursor) ↓ MCP Protocol WhatsTeam MCP Server ↓ REST API WhatsTeam Platform → WhatsApp Business API
When you tell Claude "send a WhatsApp message to +1234567890", here is what happens:
send_whatsapp_message tool through MCPThe MCP server handles authentication, rate limiting, and error handling. You interact with your AI assistant in plain language — the technical complexity stays hidden.
The WhatsTeam MCP server exposes a comprehensive set of tools:
| Category | Capabilities |
|---|---|
| Messages | Send, read, search, reply, forward, react |
| Chats | List, filter by status, search by name, get unread |
| Contacts | Manage labels, groups, contact types |
| Campaigns | Create, schedule, manage recipients, track delivery |
| Groups | Create, update, manage participants, permissions |
| Channels | List, create, join, manage channel messages |
| Files | Upload, download, manage media attachments |
| Teams | Manage agents, departments, assignments |
| Analytics | Message statistics, chat activity, delivery tracking |
WhatsTeam's MCP server works with any AI tool that supports the Model Context Protocol:
Claude has the deepest MCP support. You can connect through:
Claude's ability to reason through multi-step tasks makes it particularly effective for WhatsApp automation. It can handle complex requests like "find all unread messages from today, summarize them, and draft replies" in a single prompt.
ChatGPT supports MCP through its plugin and connector ecosystem. Connect the WhatsTeam MCP server to give ChatGPT direct access to your WhatsApp conversations and tools.
For developers building WhatsApp-integrated applications, VS Code Copilot can use the WhatsTeam MCP server to test API calls, debug message flows, and interact with WhatsApp directly from the editor.
Cursor's MCP support lets developers connect WhatsApp tools alongside their codebase. Useful for building and testing WhatsApp bots, automations, and integrations without leaving the IDE.
You need a WhatsTeam account on the Business or Enterprise plan. MCP access requires API capabilities.
No account yet? Sign up here and choose the Business plan to get API access.
The installation depends on your AI tool. Visit whats.team/mcp for detailed, tool-specific setup instructions.
For Claude Desktop, the general process is:
For Claude Code (CLI):
hljs bash# Add the WhatsTeam MCP server to your configuration
# See whats.team/mcp for the exact command and server URL
Once the MCP server is configured, your AI tool will discover the available WhatsApp tools automatically. You should see WhatsApp-related capabilities appear in your AI assistant's tool list.
Try a simple command first to verify the connection:
If the AI assistant returns results from your WhatsApp account, the connection is working. You are ready to build real workflows.
Connect Claude to your WhatsApp support inbox. It can:
A small support team handling hundreds of daily WhatsApp conversations can use MCP to triage, draft, and respond faster — without building a custom bot.
Your AI assistant can monitor incoming WhatsApp leads and:
Use MCP for internal team coordination over WhatsApp:
Developers building WhatsApp integrations can use MCP to:
No. The WhatsApp API is the underlying interface that WhatsTeam uses to communicate with WhatsApp. MCP is a layer on top that lets AI assistants use that API through natural language. Think of MCP as the translator between your AI assistant and the WhatsApp API.
No coding is required for basic usage. You configure the MCP server once, and then you interact with WhatsApp through your AI assistant using plain language. Developers can go deeper by chaining tools and building custom workflows.
The MCP server communicates over encrypted connections. Your API key controls access — only AI sessions with your key can interact with your WhatsApp account. WhatsTeam does not store the content of messages processed through MCP.
MCP access is available on the Business ($69/month) and Enterprise ($119/month) plans. The Starter plan does not include API access. See whats.team/pricing for full plan details.
Yes. Your API key works across all supported AI tools. You can have Claude handling customer support while a developer uses Cursor for testing — both connected to the same WhatsApp account through separate MCP sessions.
WhatsApp MCP is still an emerging technology, and WhatsTeam is one of the first platforms to offer a production-ready MCP server for WhatsApp. Getting in early means you can build competitive advantages before this becomes mainstream.
Here are your next steps:
Guia completo de preços da WhatsApp API na Índia. Tarifas em INR para marketing, utilidade e autenticação com exemplos reais.
Tarifas da WhatsApp Business API para Espanha, Argentina, México e Brasil. Custos por mensagem, exemplos reais e como otimizar gastos.
Ferramentas
Guia passo a passo para integrar o WhatsApp com HubSpot, Salesforce, Zoho, Pipedrive e mais de 500 ferramentas via Zapier e Make.