Note: The actual implementation currently only provides a basic greeting functionality (hello_tool), which appears to be a placeholder. The full Evolution API integration described below is not yet available.

This MCP server is intended to enable Claude to automate WhatsApp interactions through Evolution API integration. The planned capabilities include:

• Instance Management: Create, connect, restart, logout, delete, and monitor WhatsApp instances

• Messaging: Send text, media, audio, stickers, locations, contacts, reactions, polls, lists, and buttons

• Contact & Chat Management: Find contacts and chats

• Group Operations: Find groups by JID, fetch all groups, and find group members

• Webhook & Settings: Configure webhooks and instance settings

• Status Updates: Send status messages and set presence

The current implementation appears incomplete or represents an early development version.

Integration with Chatwoot is mentioned as a pending implementation in the documentation.

Integration with OpenAI is mentioned as a pending implementation under Bot Integrations.

Integration with RabbitMQ is mentioned as a pending implementation in the documentation.

Enables interaction with WhatsApp through Evolution API, supporting capabilities like managing instances, sending various message types (text, media, audio, stickers, locations, contacts, reactions, polls, lists, buttons), working with contacts and groups, and configuring webhooks.

1. Click on "Install Server".

2. Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.

3. In the chat, type @ followed by the MCP server name and your instructions, e.g., "@MCP Evolution API send a message to +1234567890 saying 'Meeting at 3 PM tomorrow'"

That's it! The server will respond to your query, and you can continue using it as needed.

Here is a step-by-step guide with screenshots.

mcp-evo-api/
├── src/
│ ├── tools/ # MCP tools implementation for Evolution API
│ ├── utils/ # Shared utilities, including Evolution API client
│ ├── main.ts # Server entry point
│ └── types.ts # Shared type definitions
├── scripts/ # Helper scripts
├── biome.json # Linting configuration
├── tsconfig.json # TypeScript configuration
├── docker-compose.yml # Docker Compose configuration
├── Dockerfile # Docker build configuration
└── package.json # Project dependencies

EVOLUTION_API_URL=https://evo-api.decisao.ai/
EVOLUTION_API_KEY=REPLACE_WITH_YOUR_REAL_KEY

{
 "mcpServers": {
 "evo-api": {
 "command": "node",
 "args": [
 "/path/to/your/mcp-evo-api/dist/main.js"
 ]
 }
 }
}

{
 "mcpServers": {
 "evo-api": {
 "url": "http://localhost:3000"
 }
 }
}

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