Mcp Walichat

Mcp Walichat is an MCP server that connects AI assistants to the WaliChat WhatsApp API platform. It enables support agents, business teams, and developers to control WhatsApp messaging, analyze customer conversations, and manage accounts directly through conversational AI environments like Claude Desktop, ChatGPT, Cursor, and VS Code Copilot. By exposing WaliChat tools over the Model Context Protocol, the server allows language models to read incoming messages, send automated text and multimedia replies, manage chat labels, and monitor delivery statuses. Users can inspect chat history, search for specific customer requests, summarize multi-user group threads, and schedule outbound notifications using natural language prompts. Additionally, the server provides utilities for group administration, participant tracking, device status monitoring, contact validation, and broadcast campaign workflows. Teams handling customer support or lead management can use Mcp Walichat to automate routine WhatsApp workflows, review conversation tone, and track agent responsiveness without navigating external dashboards.

Category: Communication & Messaging

Tags: chat, messaging, whatsapp

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How to install and configure Mcp Walichat

1. Obtain a WaliChat API key by setting up an account and connecting your WhatsApp device on the WaliChat platform. 2. Ensure Node.js is installed on your local system if you plan to run the server locally via the mcp-walichat npm package. 3. Configure your MCP client, such as Claude Desktop, Cursor, or VS Code Copilot, by adding the WaliChat connector configuration either via HTTP streaming or as a local stdio process running mcp-walichat. 4. Provide your WaliChat API key and any required headers in your client's MCP configuration settings. 5. Restart your MCP client and test the connection by querying your connected WhatsApp devices or sending a test message. For exact JSON configuration examples across different clients, refer to the WaliChat MCP repository.

What you can do with Mcp Walichat

• Send individual and bulk WhatsApp messages with plain text or media attachments using natural language commands in AI clients. - Summarize long customer conversation histories and extract action items or sentiment trends across recent chat interactions. - Create and manage WhatsApp groups, retrieve group participant lists, update member permissions, and generate invite links automatically. - Schedule reminder messages, auto-replies, and notification workflows to execute during specific hours or dates. - Verify valid WhatsApp contact numbers, assign customer support labels, and route conversations to specific agents.

Key facts

• https://github.com/walichat/mcp-walichat
• Communication & Messaging
• chat, messaging, whatsapp

Part of MCP Servers

What is Mcp Walichat?

Mcp Walichat is a Model Context Protocol server that bridges AI assistants with the WaliChat WhatsApp API. It allows users to manage WhatsApp interactions, send messages, summarize chats, and perform team communication tasks directly from tools like Claude Desktop, Cursor, and VS Code Copilot using standard conversational instructions.

Which MCP clients work with Mcp Walichat?

Mcp Walichat works with any client supporting the Model Context Protocol. Documented environments include Claude Desktop, VS Code Copilot, Cursor, Windsurf, Cline, Continue.dev, Zed Editor, Jan AI, Open WebUI, and custom agent integrations built on OpenAI APIs or HTTP streaming transports.

What capabilities does Mcp Walichat provide?

The server provides tools to send text and media messages, manage group participants, schedule outbound messages, monitor message delivery status, inspect connected WhatsApp devices, and manage contact labels. It also supports conversation analysis, sentiment evaluation, and reporting on customer support activity.

How do I install and configure Mcp Walichat?

You can connect Mcp Walichat via remote HTTP streaming or install the package from npm under the name mcp-walichat for local execution. You must configure your MCP client settings file with your WaliChat API key and restart your client to expose the WhatsApp tools.