#ats

summarize chat message

Servidor MPC para capturar estatísticas de uso de AI Code Assist

A server that integrates WhatsApp with the Model Context Protocol (MCP), enabling AI-driven interactions. It allows searching, reading, and sending messages, including media, while storing all data locally in an SQLite database. Integrates with Claude or Cursor for enhanced functionality.

MCP server for NATS messaging system using NATS CLI - enabling AI agents to interact with NATS messaging

This MCP server was developed to improve Cline's agentic workflows by being up-to-date with the public repositories and docs under

Whatsapp mcp server

This project provides an MCP (Multi-Channel Pipeline) server that acts as a wrapper for the MLB Stats API. It allows you to easily access and process various MLB data points, including schedules, game results, and team information. This server is designed for efficient data retrieval and processing within an MCP framework.

WhatsAPP MCP Server

free MCP server hosting using vercel

A Model Context Protocol (MCP) server implementation for Gallabox WhatsApp APIs. This server acts as a middleware between MCP clients and the Gallabox API, providing a standardized interface for sending WhatsApp messages.

Mirror of

WhatsApp Web MCP Server

This project creates a LangGraph assistant using tool-calling supported by LLM, integrated with a local WhatsApp Mcp server for context-aware message automation.

whatsapp mcp server consisting of a whatsapp bridge and a mcp server

A WhatsApp MCP (Message Control Protocol) Server implementation

MCP Server for Satstream API

A WhatsApp agent that uses WhatsApp MCP server to send messages and perform other actions.

WhatsApp Messaging with MCP & Ollama This project integrates PraisonAI Agents with Ollama (llama3.2) and a Go-based WhatsApp bridge. It allows you to send WhatsApp messages using natural language through a local REST API, powered by an LLM and custom MCP tools.

MCP Server for the CoinStats API. Provides access to cryptocurrency market data, portfolio tracking, and news.

This project provides a Model Context Protocol (MCP) server for NATS, enabling AI models and applications to interact with NATS messaging systems through a standardized interface. It exposes a comprehensive set of tools for interacting with NATS servers, making it ideal for AI-powered applications that need to work with messaging systems.

MCP server for advanced baseball analytics (statcast, fangraphs, baseball reference, mlb stats API) with client demo

WhatsApp MCP Server (TypeScript/Baileys)

Infobip MCP Servers let you build AI agents to interact with the Infobip platform through the Model Context Protocol (MCP). Connect to Infobip and enable your agents to perform actions, such as sending messages over channels like SMS, RCS, WhatsApp, or Viber, or managing customer data in a controlled, production-grade environment.

Mirror of

WhatsApp MCP server

Bridges directly to Statsig, enabling you to wrap new features behind feature flags, add instrumentation for product performance visibility, and seamlessly highlight and clean up stale feature flags from your codebase.

WhatsApp Flows MCP Server for business to automate survey creation and data collection through WhatsApp platform

MCP server with Whatsapp integration (Twilio) to remote approve Claude Code tool use

Sinch provides a global, scalable, secure platform for businesses to communicate with their customers - for messaging, voice, verification and email. These communication capabilities are vital for anyone building customer-connected solutions with AI systems. The Sinch MCP server enables customers who build agentic experiences to easily use Sinch services for communication. The Sinch MCP Server provides AI Assistants such as Claude or code builder such as Cursor or agent builders such as Google, with easy access to various Sinch services including Messaging, Voice, Email, Verification and many more. Messaging channels include RCS, SMS, MMS, WhatsApp, Facebook Messenger, Instagram, Viber Business Messages, Telegram Bot, KakaoTalk, LINE, WeChat and Sinch Chat.

Production-ready Model Context Protocol (MCP) servers in Python, Go, and Rust for VS Code integration. Enables AI systems to interact with tools via standardized interfaces.

🚀 Supercharge your WhatsApp automation driven by AI! Send messages, summarize conversations, and manage chats using natural language from your favorite AI assistant like ChatGPT, Claude, or custom AI agents. ✨ Easily integrate Wassenger WhatsApp API with any MCP-powered AI client including ChatGPT, VS Code Copilot, Claude Desktop, Cursor, Windsurf and many more! 💬 Transform how you communicate - automate responses, analyze chat patterns, and manage customer conversations at scale, manage WhatsApp chats and groups, everything through simple conversational text or voice commands with your AI assistant.

WhatsApp MCP server

Knit MCP is Knit’s remote MCP server offering that allows you to create and package your own mcp servers that you can plug into your AI assistants to directly execute real-world tasks like: Fetching employee or payslip data from HR tools Creating candidates in ATS systems Updating invoices in accounting platforms Pulling CRM opportunities or contact details And much more — with full end-user scoped permissions It provides a real-time bridge between agents and hundreds of SaaS apps, with a focus on structured, secure, and standardized access to business-critical data. Supported Apps You can find the entire list of supported Apps here - https://www.getknit.dev/mcp-servers

Query and Summarize your chat messages.