"Using WhatsApp as the Main Platform for Customer Communication and Services" matching MCP servers:

MCP server that provides email communication tools (send email, health check, list providers) via SMTP, accessible over HTTP/SSE for remote AI clients like Claude Desktop.

A read-only, local MCP server that enables Claude Desktop and Claude Code to brief users on selected WhatsApp chats, surfacing mentions, urgent items, follow-ups, bills, and payment screenshots through local OCR while keeping data encrypted on the user's PC.

MCP server for managing and composing customer replies for a phone and computer repair shop, with built-in templates and WhatsApp link generation. Supports Arabic and English.

Exposes the local Claude Code CLI as a subagent for Codex, enabling background review and implementation jobs with two fixed permission tiers.

MCP server that connects AI agents to WhatsApp using the multi-device API, enabling messaging, group management, and more as a regular user.

Enables AI agents to send WhatsApp notifications to their owner and read the owner's replies through a local gateway, without requiring the Meta Business API.

Enables querying normalized real-world asset data through MCP tools, including listing assets, retrieving asset details, comparing yields against SOFR, and checking eligibility by jurisdiction.

Exposes a running DeepSeek Harness as an MCP endpoint so any other agent or script can create workspaces and sessions, hand coding tasks to the DSH agent, read and write files, run shell commands, and invoke permitted harness tools under the same sandbox, transcript, and permission policy as the DSH UI.

A stdio MCP server that lets Claude Code sessions be driven directly from WhatsApp chats, with bidirectional messaging and media, voice-note transcription, pairing-code access control, per-group personalities, and emoji-reaction approval of tool requests. It supports both linked-device pairing for personal numbers and the official WhatsApp Cloud API for business DMs, and can also be run by other MCP clients on a poll-based basis.

Enables AI agents to communicate with each other through Slack-like room-based channels with messaging, mentions, presence management, and long-polling for real-time collaboration.

Enables sending WhatsApp messages from MCP clients using a personal WhatsApp account via WebSocket protocol, without needing the Business API or browser automation.

Turns Claude-style skill folders into MCP tools, resources, and prompts for discovering and using skills.

MCP server for sending and reading WhatsApp messages through Claude, with human approval on sends and no auto-replies.

Provides MCP tools for retrieving customer records and processing refunds, with strict input validation, proper JSON-RPC error mapping, and enforced stdout protocol isolation.

Enables querying customers by name with a React UI for pagination, details, external company search, and safe customer creation after explicit confirmation.

Demonstrates agent-native platform onboarding with human-in-the-loop API key provisioning, plus live usage and rate-limit queries via Anthropic Admin APIs.

MCP server that exposes Avangenio's service status by fetching and parsing status.avangenio.com/data.txt into normalized JSON.

Enables Claude Desktop to answer natural-language questions about customers by exposing search, profile, order history, status filter, and spend statistics tools backed by local mock data, with a single-file swap path to Oracle AI Agent Studio later.

Enables Codex to delegate review and implementation tasks to the local Qoder CN CLI as background jobs, with two permission tiers and polling-based status updates.

Enables an AI assistant to answer customer-success questions by synthesizing simulated billing, support ticket, and product usage data into composite churn-risk scores, bands, and plain-language explanations for fictional accounts. It exposes raw-data tools, a synthesis tool, and a methodology resource so users can list at-risk accounts or get a per-account health summary.

MCP server for Argo CD and Vault that allows authenticated users to run CLI commands via GitLab SSO, with confirmation for dangerous operations and secret redaction from model context.

Enables LLMs to interact with WhatsApp via the official WhatsApp Cloud API, providing tools for sending messages, templates, media, and managing conversations.

Enables clients to retrieve customer records by ID and issue refunds to active customers over stdio, with strict schema validation and JSON-RPC error mapping.

Pairs with a personal WhatsApp account via WhatsApp Web QR linking so an MCP client can list chats, search and read cached messages, page older history, and download media locally. Sending text, images, audio, documents, or stickers is possible only through opt-in, allowlisted, rate-limited tools that stay disabled by default.

Analyzes codebases for cross-platform compatibility issues, detecting platform-specific APIs, file path problems, line ending inconsistencies, and shell command incompatibilities across Windows, macOS, and Linux.

An MCP server that enables AI to control WhatsApp Web via Puppeteer Stealth for reading and sending messages. It features human-like interaction patterns and anti-ban protections to securely manage chats and communications through natural language.

Enables AI assistants to manage Customer Thermometer surveys, including listing thermometers and recipient lists, adding or unsubscribing recipients, sending email surveys, and retrieving NPS, happiness, response, and comment reports.

MCP Server for Git operations, agent templates, and project utilities.

Read-only MCP server for WhatsApp Web allowing listing chats and reading recent messages, without sending or mutating WhatsApp state.

Publishes a spending-summary tool alongside an interactive HTML view, letting people click a category in the answer to fetch the individual expense records behind that total. Keeps calculations and their supporting evidence together in a single inspectable flow.