MCPs tagged with Realtime collaboration
-
MCP Miro Server
Miro board integration for AI assistants via Model Context Protocol.
MCP Miro Server provides a standardized MCP server interface to the Miro platform, enabling AI assistants to access and manage Miro boards programmatically. It supports a wide range of board and item operations, including creating, listing, updating, and deleting boards and their contents. Secure OAuth token access ensures integration with users’ Miro accounts. Designed to work seamlessly with AI tools like Claude Desktop, it allows efficient and automated Miro workspace management.
- ⭐ 57
- MCP
- k-jarzyna/mcp-miro
-
Jupyter MCP Server
Real-time, context-aware MCP server for managing and interacting with Jupyter Notebooks.
Jupyter MCP Server is an implementation of the Model Context Protocol (MCP) designed to enable AI-driven, real-time management and interaction with Jupyter Notebooks. It offers context-aware capabilities, smart execution features, and multimodal output handling, seamlessly integrating with JupyterLab and supporting multiple notebooks simultaneously. The server is compatible with any MCP client and can work with local or hosted Jupyter deployments.
- ⭐ 765
- MCP
- datalayer/jupyter-mcp-server
-
liveblocks-mcp-server
Enable AI models to interact with Liveblocks via standardized MCP server endpoints.
liveblocks-mcp-server provides a Model Context Protocol (MCP) server allowing AI clients to access, create, modify, and delete resources within Liveblocks such as rooms, threads, comments, and notifications. The server also offers read access to Liveblocks Storage and Yjs, making it easier for AI interfaces to manage collaborative features through Liveblocks’ REST API. Integration is supported for various clients including Cursor, Claude Desktop, and VS Code. Secure authentication is handled via project-specific secret keys.
- ⭐ 11
- MCP
- liveblocks/liveblocks-mcp-server