An MCP server based on the YouTube Data API v3 that provides 14 functions to obtain real-time data on YouTube videos, channels, playlists, etc., supporting advanced functions such as content evaluation and caption extraction, suitable for AI assistant integration.

This project provides a Telegram client library and an MCP server to implement the interaction function between AI assistants and Telegram, including message retrieval, channel search, and pattern filtering.

The Discord MCP Server is a Discord API integration service based on the Model Context Protocol (MCP), allowing AI assistants to interact seamlessly with Discord, including functions such as managing channels, sending messages, and getting server information.

A Slack API server based on the MCP protocol that provides a standardized interface for AI assistants to interact with the Slack platform, supporting functions such as message sending, channel management, and user query.

The YouTube MCP server is a comprehensive model context protocol server that provides real-time YouTube data access through the YouTube Data API v3. It supports 14 functions, including video detail retrieval, channel analysis, content evaluation, and caption extraction, and is suitable for AI assistant integration.

MCP-Discord is a server that connects AI assistants to the Discord platform, providing Discord-related functions such as message sending and receiving, channel management, and forum operations.

What2Watch MCP is a service that provides real - time entertainment content discovery capabilities for AI assistants. It integrates program information from thousands of TV channels and streaming platforms and can provide personalized recommendations based on user preferences, mood, and time.

Brevo MCP is a multi - channel platform protocol implementation for seamless integration with the Brevo API, supporting email and contact management through AI assistants such as Claude.