MCP server
by eyevinnosc
Eyevinn Open Source Cloud lets AI assistants deploy and manage multi-vendor cloud infrastructure with an open source API
Provisions and manages vendor-independent cloud infrastructure including databases, storage, and media processing through an open source API. This package is deprecated - use the remote connector at osaas.io/mcp instead.
Eyevinn Open Source Cloud is an official MCP server published by eyevinnosc that provides AI assistants with tools and capabilities via the Model Context Protocol. Eyevinn Open Source Cloud lets AI assistants deploy and manage multi-vendor cloud infrastructure with an open source API It is categorized under cloud infrastructure, file systems.
You can install Eyevinn Open Source Cloud in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport.
MIT
Eyevinn Open Source Cloud is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.
README content is unavailable from source data for this server.
Open GitHub repository →Read, analyze, and understand files in your project
Example
Summarize README, analyze code structure, find TODO comments across codebase
Navigate large codebases 5x faster, understand projects quickly
Create, move, rename, and organize files based on natural language instructions
Example
Organize downloads by file type, rename files following convention, batch process images
Save hours on manual file organization
Search files for patterns, extract data, find information across directories
Example
Find all config files with API keys, extract emails from documents, search logs for errors
Find information instantly instead of manual grep/find
Share your MCP server with the developer community
We evaluated Eyevinn Open Source Cloud against two servers with overlapping tools; this profile had the clearer scope statement.
We evaluated Eyevinn Open Source Cloud against two servers with overlapping tools; this profile had the clearer scope statement.
Eyevinn Open Source Cloud is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
Eyevinn Open Source Cloud has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
Eyevinn Open Source Cloud has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
I recommend Eyevinn Open Source Cloud for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
According to our notes, Eyevinn Open Source Cloud benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
Strong directory entry: Eyevinn Open Source Cloud surfaces stars and publisher context so we could sanity-check maintenance before adopting.
Eyevinn Open Source Cloud has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
According to our notes, Eyevinn Open Source Cloud benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
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Generate boilerplate files, apply templates, create project structures
Example
Create React component with tests and styles, generate OpenAPI spec, scaffold new project
Eliminate repetitive file creation work
Prerequisites
Time Estimate
10-20 minutes including configuration
Steps
Troubleshooting
✓ Do
✗ Don't
💡 Pro Tips
Architecture
MCP server provides file I/O operations (read, write, search, metadata) as tools Claude can invoke with natural language instructions.
Protocols
Compatibility
✓ Use when
Use for code analysis, file organization, content search, template generation, and automating repetitive file operations. Best for local development workflows.
✗ Avoid when
Avoid for system-critical files, sensitive credentials, production environments, or when file integrity is paramount. Don't use on files you can't afford to lose.
