Whatify MCP Server

Whatify MCP Server

Exposes Whatify's WhatsApp API as tools for MCP-compatible AI clients, enabling sending messages, templates, and flows, and reading contacts, conversations, campaigns, and wallet balance.

Category
Visit Server

README

Whatify MCP Server

An MCP (Model Context Protocol) server that exposes Whatify's WhatsApp API — sending messages, templates, and Flows, plus reading contacts, conversations, campaigns, and wallet balance — as tools for MCP-compatible AI clients (Claude Desktop, Claude Code, etc.).

It's a thin wrapper around the existing v1/external REST API (app/Http/Controllers/Api/ExternalApiController.php), authenticated the same way: an API key generated from Settings → API Keys in the Whatify dashboard.

Tools

Tool Maps to Notes
whatify_ping GET /ping Connectivity/auth check
whatify_send_message POST /send-message Free-form text
whatify_send_template POST /send-template Approved templates only
whatify_send_flow POST /send-flow WhatsApp Flow (interactive form)
whatify_message_status GET /messages/{id} Delivery status
whatify_list_templates GET /templates
whatify_list_flows GET /flows
whatify_list_contacts GET /contacts
whatify_get_contact GET /contacts/{id}
whatify_create_contact POST /contacts
whatify_update_contact PUT /contacts/{id}
whatify_list_conversations GET /conversations
whatify_get_conversation_messages GET /conversations/{id}/messages
whatify_list_campaigns GET /campaigns
whatify_get_campaign GET /campaigns/{id} Includes delivery/read rate
whatify_wallet_balance GET /wallet/balance

send_flow and reading flows require the API key to have the send_flow / read_flows permissions (added alongside this server — check the boxes when generating a key in Settings → API Keys).

Setup

  1. Get an API key: log into Whatify → Settings → API Keys → generate a key with the permissions you want the AI tool to have (e.g. send_message, send_template, send_flow, read_contacts).
  2. Install dependencies:
    cd mcp-server
    npm install
    
  3. Configure environment variables:
    • WHATIFY_API_KEY — the key from step 1 (required)
    • WHATIFY_API_BASE_URL — defaults to http://localhost/api/v1/external; set this to your real app URL, e.g. https://whatify.in/api/v1/external

Using with Claude Desktop / Claude Code

Add to your MCP client config (e.g. claude_desktop_config.json, or via claude mcp add for Claude Code):

{
  "mcpServers": {
    "whatify": {
      "command": "node",
      "args": ["C:/xampp/htdocs/whatify/mcp-server/src/index.js"],
      "env": {
        "WHATIFY_API_KEY": "wk_xxxxxxxxxxxxxxxx",
        "WHATIFY_API_BASE_URL": "https://whatify.in/api/v1/external"
      }
    }
  }
}

Restart the client, then ask it to send a message, e.g.:

"Using Whatify, send a WhatsApp message to +91XXXXXXXXXX saying the order has shipped."

Manual test

You can talk to the server directly over stdio for debugging:

npm start

then send newline-delimited JSON-RPC (initialize, tools/list, tools/call) on stdin. Easier: use the MCP Inspector:

npx @modelcontextprotocol/inspector node src/index.js

Recommended Servers

playwright-mcp

playwright-mcp

A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.

Official
Featured
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.

Official
Featured
Local
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.

Official
Featured
Local
TypeScript
VeyraX MCP

VeyraX MCP

Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.

Official
Featured
Local
graphlit-mcp-server

graphlit-mcp-server

The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.

Official
Featured
TypeScript
Kagi MCP Server

Kagi MCP Server

An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.

Official
Featured
Python
E2B

E2B

Using MCP to run code via e2b.

Official
Featured
Neon Database

Neon Database

MCP server for interacting with Neon Management API and databases

Official
Featured
Exa Search

Exa Search

A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.

Official
Featured
Qdrant Server

Qdrant Server

This repository is an example of how to create a MCP server for Qdrant, a vector search engine.

Official
Featured