What are the prerequisites for running wos MCP Server?
Python 3.12 or higher and the `uv` package manager are required.
@Wangsu-Cloud-Storage
Basic information
No overview available yet
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"wcs-mcp-server": {
"command": "uv",
"args": [
"venv"
]
}
}
}Tool list not available yet
This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.
We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
The wos MCP Server is a Model Context Protocol (MCP) server built on WCS (Wangsu Cloud Storage) cloud products. It allows users to access WCS cloud storage and intelligent multimedia services through AI large model clients.
Clone the repository, create a virtual environment with uv, install dependencies, then configure credentials in a .env file (access key, secret key, region, endpoint, and buckets). Start the server using uv --directory . run wos-mcp-server in stdio mode, or add --transport sse --port 8000 for SSE mode. Integrate with MCP-compatible clients like Cline.
.env file.Python 3.12 or higher and the `uv` package manager are required.
Set `WOS_ACCESS_KEY`, `WOS_SECRET_KEY`, `WOS_REGION_NAME`, `WOS_ENDPOINT_URL`, and `WOS_BUCKETS` in a `.env` file or as environment variables.
Standard input/output (stdio) is the default mode; SSE mode can be enabled with `--transport sse --port 8000` for web applications.
Yes. Use `WOS_BUCKETS` with a comma-separated list. It is recommended to configure at most 20 buckets.
Use the Model Control Protocol Inspector tool: `npx @modelcontextprotocol/inspector uv --directory . run wos-mcp-server`. Also, the README provides steps for testing with the Cline VS Code extension.

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Model Context Protocol Servers
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