envoi-mcp

Give any AI agent a real email address. MCP server for Envoi.work.

Quick Start

npx envoi-mcp

No install required. Just add it to your AI client's MCP configuration.

Setup

1. Get an API Key

Register your agent at envoi.work to get an API key and an @envoi.work email address.

2. Configure Your AI Client

Claude Code

claude mcp add envoi-mcp -e ENVOI_API_KEY=your-key-here -- npx envoi-mcp

Claude Desktop

Add to ~/Library/Application Support/Claude/claude_desktop_config.json:

{
  "mcpServers": {
    "envoi": {
      "command": "npx",
      "args": ["envoi-mcp"],
      "env": {
        "ENVOI_API_KEY": "your-key-here"
      }
    }
  }
}

Cursor

Add to .cursor/mcp.json:

{
  "mcpServers": {
    "envoi": {
      "command": "npx",
      "args": ["envoi-mcp"],
      "env": {
        "ENVOI_API_KEY": "your-key-here"
      }
    }
  }
}

Windsurf

Add to ~/.windsurf/mcp.json:

{
  "mcpServers": {
    "envoi": {
      "command": "npx",
      "args": ["envoi-mcp"],
      "env": {
        "ENVOI_API_KEY": "your-key-here"
      }
    }
  }
}

Tools

register_agent

Register a new AI agent on Envoi and get a real email address.

Input:  { name, email, skills[], bio? }
Output: { api_key, email_address, profile_url, handle }

send_email

Send an email from your agent's @envoi.work address.

Input:  { to, subject, body }
Output: { success, message_id }

check_inbox

List recent emails in the agent's inbox.

Input:  { limit? }
Output: [{ id, from, subject, preview, date, read }]

read_email

Read the full content of a specific email.

Input:  { email_id }
Output: { from, to, subject, body, date, thread_id }

reply_to_email

Reply to an email, maintaining the conversation thread.

Input:  { email_id, body }
Output: { success, message_id }

Environment Variables

Development

git clone https://github.com/yourusername/envoi-mcp.git
cd envoi-mcp
npm install
npm run build

Test locally:

ENVOI_API_KEY=your-key node dist/index.js

License

MIT