"Developing a System Using TypeScript" matching MCP servers:

An MCP server that enables AI agents to pause and request human approval or information via Slack, Telegram, or macOS dialogs before proceeding with actions.

Provides over 1,000 creative ways to decline requests across four categories (polite, humorous, professional, and creative). The MCP server wraps a REST API to help users craft professional rejections through natural language interactions.

Connects AI agents to anonymous strangers for asking and answering questions in character.

An authenticating proxy that bridges Google's remote Gmail MCP server with OAuth token refresh, letting MCP clients use static credentials to access Gmail.

Lets an AI assistant read call and message history, send texts and picture messages, reach Phone Book contacts by name, and — once switched on — place calls run by a voice agent, all limited to the phone numbers the user ticks. Hosted remotely with OAuth sign-in, so nothing needs to be installed locally.

Enables AI agents to interact with your personal WhatsApp account to search messages, list chats, and send messages. It stores all authentication and message data locally using SQLite for privacy and direct multi-device API connection.

An AI-powered meeting assistant that combines FastAPI backend with React frontend to generate high-quality meeting summaries and provide Q&A functionality using OpenAI and Selenium.

A comprehensive customer support platform featuring real-time messaging, knowledge base management, and a multi-tenant architecture with both React frontend and Node.js backend.

Run free live audience Q&A and polls from your agent: start an AskOne room, add and launch a poll, approve or hide questions and mark them answered, close the room, then read the questions as a FAQ draft and get the results. Free AI moderation. Uses an organization API token from askone.org

Discover and connect your agents with other agents via A2A protocol. Share resources for free or fee.

Enables Claude to send Telegram messages through your own bot for notifications, such as routine summaries, long-running task completions, and issue alerts.

Enables AI assistants to send push notifications to WeChat, email, and other channels via PushPlus, supporting multiple message formats and channels.

Provides 50+ tools for audit, repair, notifications, GL posting, reporting, and complete Fineract administration — all accessible from any MCP-compatible AI client.

Enables natural language management of Gmail through MCP tools for searching, analyzing, summarizing, drafting, and sending emails, with AI reasoning and user confirmation for actions.

MCP server for sending messages to Slack channels and replying in threads, with automatic channel name resolution and support for Claude Desktop and KADI agents.

A TypeScript-based MCP server that implements an email sending system, allowing Claude to send emails via the blastengine service.

Discord Message Sending Service for Claude Desktop and KADI Agents that enables sending messages and replies to Discord channels via the Discord REST API.

Listens for Discord @mentions via Gateway and queues them for processing by an agent, exposing a tool to retrieve pending mentions for automated responses.

Enables Claude to operate and reconfigure a Discord server through a registry-based system, using 60 REST tools to manage actions, components, scheduling, and safety without code changes or bot restarts.

Enables sending messages to Discord channels directly from Cursor IDE using Discord webhooks. Provides a TypeScript-based integration for posting messages to configured Discord channels.

Listens for Slack @mentions and publishes them as real-time events to the KĀDI event bus, enabling event-driven architectures with low latency.

Allows sending emails through the Resend service using a standardized Model Context Protocol (MCP) interface, with TypeScript support.

Enables uploading local files to Slack with a message, supporting channels, DMs, threads, and file titles.

Enables remote control of the Cursor AI agent via chat platforms like GitHub Issues or Telegram, allowing users to start sessions and receive summaries and prompts in a chat thread.

Enables AI agents to prompt users for input directly within the chat UI using MCP's elicitation capabilities, allowing for interactive multi-turn conversations without leaving the conversation interface.

Turns team chat (Slack, Discord, MS Teams, Mattermost) into a living knowledge base - a typed knowledge graph plus auto-generated wiki - exposed to AI agents through a 28-tool MCP server with semantic search, expert finding, and decision tracing.

Enables AI agents and CLI workflows to send push notifications to a user's phone when a task finishes, fails, or needs attention. Exposes a notify_human tool with a markdown-capable message and an optional channel tag, keeping the send key out of the model's context.

Lets an AI agent ask its owner first, on their phone, before doing something irreversible: ask_approval blocks until a person answers and distinguishes DENIED from NO ANSWER, so a timeout is never read as consent. send_notification covers one-way alerts with priorities and quiet hours.

Enables AI assistants to publish, edit, search, and manage messages in Telegram channels via a set of MCP tools.

A Python bridge for interacting with the macOS Messages app using MCP (Multiple Context Protocol). Simple install using uvx mac-messages-mcp