Real-Time Collaboration MCP Repositories

Connects and interacts with virtual rooms using the Room protocol, enabling agents to collaborate in a peer-to-peer environment for various tasks.

Manage dynamic finite state machines to coordinate multiple agents effectively, facilitating complex workflows and ensuring real-time updates on state changes. Streamline transitions between project phases to keep teams aligned with overall project goals.

Connects to the MIRO Whiteboard Application for board manipulation and sticky creation. Supports bulk operations and integrates with AI for enhanced functionality.

Swiss MCP is designed to orchestrate complex AI tasks by coordinating multiple AI tools, enabling streamlined interactions across various resources.

A digital whiteboard library designed for creating infinite canvas experiences in React applications, enabling collaborative drawing and design functionalities.

Facilitates real-time interaction between AI assistants and Unity projects by allowing access to scene information, execution of C# code, and log monitoring within the Unity Editor. Enhances development workflows with additional file access functionalities for large language models (LLMs).

Enables real-time communication between AI models and external tools while managing conversation history and tool registries. Implements a WebSocket interface for interactive client-server communication and includes context management capabilities.

Interact with the macOS Messages app to read recent messages, filter them by contact, and send messages via iMessage through a simple API interface.

Connects to Mattermost API endpoints to retrieve and process information in real-time, allowing for monitoring of specific teams and channels with secure token-based authentication.

Autonomously achieve goals by chaining thoughts of the GPT-4 model while accessing the internet, managing memory, and storing files. The server supports plugin extensibility to enhance functionality.

Integrate a Discord bot with MCP-compatible applications for enhanced functionalities and interactions. Leverage the Model Context Protocol to facilitate advanced communication and automation within Discord channels.

Interact with Telegram chats by retrieving chat lists, fetching messages, and sending messages through MCP-compatible hosts. Compatible with AI models, allowing seamless integration with Telegram functionalities.

Access sports data from The Sports DB to retrieve real-time and historical sports information, enhancing conversational agents and workflows with dynamic sports-related content.

Implement structured tools for meaningful human-AI interaction, facilitating progressive interaction patterns and development of understanding through the Model Context Protocol.

Send messages and prompts to a Discord channel and receive responses directly from an AI model. It integrates with Discord's API to facilitate real-time communication between AI and users.

The Make MCP Server enables users to automate workflows by connecting the Make automation platform with Claude Desktop, using the Model Context Protocol for seamless data exchange and communication.

Facilitates the creation and management of AI agents that engage in natural language interactions and collaborate to solve problems. Supports orchestration of both individual and group conversations with customizable configurations and built-in error handling.

Synchronizes logs between Cocos Creator and Cursor AI, enabling efficient problem analysis and resolution. Features include real-time log syncing, intelligent filtering, and scene management capabilities.

A basic project for learning and experimenting with WebRTC concepts, enabling peer-to-peer communication. Provides foundational tools and implementations for real-time communication technologies.

A comprehensive WeChat bot framework that supports various interactive features and game functionalities, equipped with a plugin system for customization and a web management interface for user oversight. It facilitates efficient message forwarding and processing with easy deployment using Docker.

A collection of implementations for the Model Context Protocol (MCP) that enables secure, controlled access for large language models (LLMs) to various tools and data sources. These servers showcase versatility and extensibility through reference implementations using Typescript and Python MCP SDKs.

Engage in strategic gameplay of Minesweeper while the server manages game state and interactions. This server enables MCP client agents to play and challenge their problem-solving skills in an interactive environment.

Enables multiple AI agents to collaboratively share and access each other's responses to the same prompt, facilitating deeper dialogue and understanding across models.

Facilitates real-time chat experiences using React and Supabase, allowing users to send and receive messages instantly. The application supports seamless communication through a user-friendly interface, underpinned by a PostgreSQL database.

Interact with Liveblocks to manage rooms, threads, comments, and notifications while providing read access to Liveblocks Storage and Yjs for enhanced collaborative features.

Interact with Slack by managing channels, posting messages, and retrieving user profiles through a standardized API interface. Enhance team collaboration and workflow automation within a Slack workspace.

Connect to a chess server to play games against large language models while utilizing interactive tools for visualization, move analysis, and PGN file exploration.

Interact with Sonic Pi through OSC messages to create and control music programmatically. Execute Sonic Pi code and play notes with customizable synth parameters seamlessly.

Enables the construction and querying of real-time, temporally-aware knowledge graphs, managing entities, relationships, and episodes. Facilitates semantic and hybrid searches to enhance memory and reasoning in AI agents.

Programmatically control and manage iOS simulators, enabling functions such as starting, stopping, booting, and interacting with simulator instances. It supports app installation, launching, and screenshot capture through a standardized communication protocol.