agentmail-mcp_skill

Overview

This skill provides an AgentMail MCP server that connects email tools to any MCP-compatible AI client. It offers hosted and local deployment options and exposes inbox, message, thread, attachment, and label-management tools. Use it to manage sending, receiving, and threading email from assistants like Claude Desktop, Cursor, VS Code, and more.

How this skill works

The server runs as a hosted endpoint or a local process (npm npx or Python package) and authenticates using your AgentMail API key. It exposes a set of MCP tools (create_inbox, send_message, list_threads, get_attachment, etc.) which MCP clients call to perform inbox and message operations. Configure your client by adding an AgentMail MCP server entry and supplying the AGENTMAIL_API_KEY via env or config.

When to use it

• When you need an AI assistant to send or reply to email on your behalf.
• When integrating email workflows into Claude Desktop, Cursor, VS Code, Windsurf, or other MCP clients.
• When you want a local development server for testing email tooling with npx or a Python virtualenv.
• When you need programmatic access to threads, attachments, or inbox management from an assistant.
• When you prefer a hosted option to avoid local installation and keep setup minimal.

Best practices

• Store AGENTMAIL_API_KEY in environment variables or secure client config, not plaintext code.
• Limit tool exposure by launching the server with --tools when only a subset of functionality is needed.
• Use the hosted URL for quick setup; use local npm or Python installs for development and offline control.
• Verify your client’s MCP config path (Claude Desktop, Cursor, VS Code locations) and test with a single command first.
• Troubleshoot by confirming npx/npm is in PATH or by using the full executable path for Python installs.

Example use cases

• Ask your assistant to create a new inbox for support and start routing messages to it.
• Have the assistant draft and send an email from a selected inbox to a customer.
• List recent threads and ask the assistant to summarize or reply to the latest thread.
• Download an attachment from the most recent message and save it locally.
• Programmatically update message labels or archive conversations via assistant commands.