mcp_mindmup2_google_drive
MCP ServerFreeMCP server: mcp_mindmup2_google_drive
- Best for
- mcp-based google drive integration, real-time mind map updates, context-aware file retrieval
- Type
- MCP Server · Free
- Score
- 30/100
- Best alternative
- AWS MCP Servers
- Agent-compatible
- Yes — MCP protocol
Capabilities3 decomposed
mcp-based google drive integration
Medium confidenceThis capability allows seamless integration with Google Drive using the Model Context Protocol (MCP). It employs a server architecture that listens for context updates and file changes in Google Drive, enabling real-time synchronization of mind maps created in MindMup. The integration leverages Google Drive's API for file management and retrieval, ensuring that users can access and manipulate their mind maps directly from their Google Drive accounts.
Utilizes the Model Context Protocol to maintain a persistent connection with Google Drive, allowing for real-time updates and context-aware file management.
More efficient than traditional file syncing methods as it maintains a live connection to Google Drive, reducing latency in updates.
real-time mind map updates
Medium confidenceThis capability enables users to receive real-time updates on their mind maps as changes are made in Google Drive. It uses WebSocket connections to push updates to the client whenever a file is modified, ensuring that all collaborators see the most current version of the mind map without needing to refresh or manually check for updates.
Employs WebSocket technology for instant communication, providing a more responsive experience compared to traditional polling methods.
Faster and more efficient than polling-based solutions, as it eliminates unnecessary API calls and reduces latency.
context-aware file retrieval
Medium confidenceThis capability allows users to retrieve mind maps from Google Drive based on contextual information provided by the MCP. It uses a context-aware querying system that filters files based on user-defined parameters, such as recent modifications, specific tags, or collaboration status, enhancing the user experience by making file retrieval more intuitive and relevant.
Integrates contextual awareness into file retrieval, allowing users to leverage their project context to find relevant mind maps quickly.
More user-friendly than standard file search methods, as it prioritizes context over simple keyword matching.
Capabilities are decomposed by AI analysis. Each maps to specific user intents and improves with match feedback.
Related Artifactssharing capabilities
Artifacts that share capabilities with mcp_mindmup2_google_drive, ranked by overlap. Discovered automatically through the match graph.
Google Drive
Enable seamless access and management of Google Drive files through a standardized protocol. Facilitate listing, reading, and interacting with Google Drive resources directly from your LLM applications. Simplify integration with Google Drive by exposing its capabilities as MCP tools and resources.
Google Drive MCP Server
Search, read, and manage Google Drive files via MCP.
Google Drive
** - File access and search capabilities for Google Drive.
mcp-gsuite
server for google
Google Workspace MCP Server
Connect MCP Clients, AI assistants and developer tools to Gmail, Google Calendar, Docs, Sheets, Slides, Chat, Forms, Tasks, Search & Drive through the Model Context Protocol! The most feature-complete Google Workspace / G Suite MCP server, now with Remote OAuth2.1 multi-user support and 1-click Cla
google-docs-mcp
MCP server: google-docs-mcp
Best For
- ✓users looking to manage mind maps collaboratively in Google Drive
- ✓teams collaborating on mind maps in real-time
- ✓users managing multiple mind maps across different projects
Known Limitations
- ⚠Requires Google Drive API access, which may have quota limits
- ⚠Dependent on stable internet connection for real-time updates
- ⚠Requires WebSocket support in the browser
- ⚠May experience delays if the Google Drive API is slow
- ⚠Search capabilities are limited to metadata provided by Google Drive
- ⚠May not support complex queries due to API constraints
Requirements
Input / Output
UnfragileRank
UnfragileRank is computed from adoption signals, documentation quality, ecosystem connectivity, match graph feedback, and freshness. No artifact can pay for a higher rank.
Repository Details
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MCP server: mcp_mindmup2_google_drive
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