Click2Mail API Alternative

Looking at Click2Mail for programmatic mail? Agent Mail is the same idea, but built for AI agents — MCP-first, with rich agent-readable docs and a simple HTTP fallback.

click2mailcomparisonapi

· Updated

What you get

Click2Mail and Agent Mail both let your code put a real letter in the mail. The differences are in the surface area and the audience.

  • MCP-first. Agent Mail's primary surface is MCP, so any agent that speaks MCP can use it without you writing client code. The HTTP API exists too — see /openapi.json — but it's the fallback, not the front door.
  • Agent-readable docs. /llms.txt and /llms-full.txt are written to be ingested by language models cold. Drop the URL into a Claude conversation and it can integrate without further hand-holding.
  • Pay-per-piece, no subscription. Sandbox is free; production is per-piece.

When Click2Mail wins

If you're building a print-shop replacement or a mailroom automation tool with no AI in the picture, Click2Mail is mature and well-suited. Agent Mail is built around the assumption that an agent is the caller.

How to evaluate

The fastest test: open Claude Desktop, paste in the Agent Mail MCP config from /setup, and ask the agent to draft and send a single letter. If that loop feels right for your use case, you're in the right place.

Wire Mailsnail into your agent

Drop this into your client's MCP config (or use /setup for one-line installs).

mcp.json
{
  "mcpServers": {
    "mailsnail": {
      "command": "npx",
      "args": [
        "-y",
        "physical-mail-mcp"
      ],
      "env": {
        "MAIL_PROVIDER": "managed",
        "MAIL_API_BASE_URL": "https://api.mailsnail.dev"
      }
    }
  }
}

See also

Lob Alternative for AI Agents

Lob is great for batch-mode direct mail. Agent Mail is built for the opposite shape: one piece at a time, decided and sent autonomously by an AI agent. Here's how they compare.

Physical Mail API for LLMs

An MCP-first physical-mail API designed to be discoverable, callable, and well-typed for large language models. Tool surface, agent-readable docs, and pricing.

← All recipes