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MCP server

WhatsApp MCP server

A WhatsApp MCP server lets an AI agent take real actions on WhatsApp — posting, replying and reading analytics — through the Model Context Protocol. Modiva hosts one: add your MCP key to any MCP client and 11 typed WhatsApp tools appear instantly.

The Model Context Protocol (MCP) is how AI clients like Claude and Cursor discover and call real tools. Modiva's hosted MCP server turns the WhatsApp API into 11 typed tools an agent can call directly — no glue code, no OAuth handling, no per-platform SDK. Connect WhatsApp once and the agent can act on it.

11 typed WhatsApp tools

Grouped by resource, not by platform — so the same tool names work across every connected account.

accounts_

list · health · status

posts_

create · cross_post · schedule · publish_now

comments_

list · reply

messages_

list · send · inbox

analytics_

unified · best_time_to_post

Add it to your AI client

Point any MCP-compatible client (Claude, Cursor, Windsurf, …) at the hosted server and the WhatsApp tools are discovered automatically.

mcp config
{
  "mcpServers": {
    "modiva": {
      "url": "https://mcp.modiva.ai/v1",
      "headers": { "Authorization": "Bearer mk_live_…" }
    }
  }
}

Connect WhatsApp to your agent

Get your MCP key — free

FAQ

What is a WhatsApp MCP server?

It's a service that exposes WhatsApp capabilities as typed tools over the Model Context Protocol, so an AI agent can post, reply and read WhatsApp data instead of only generating text. Modiva hosts one you connect with a single key.

How do I connect the WhatsApp MCP server to Claude or Cursor?

Create a free Modiva account, connect WhatsApp, then add the server URL https://mcp.modiva.ai/v1 with your MCP key to your client. The WhatsApp tools are discovered automatically.

Do I need a WhatsApp developer app?

No. Modiva owns the reviewed WhatsApp app and manages OAuth and scopes, so you skip app review entirely and the agent can act right away.


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Modiva is a hosted, multi-tenant MCP server. Your WhatsApp tokens are encrypted and never shared between workspaces.