What storage services are supported?
The server supports any service that Apache OpenDAL™ integrates with, including S3, Azure Blob Storage, Google Cloud Storage, and many others.
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基本信息
Model Context Protocol Server for Apache OpenDAL™
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"mcp-server-opendal": {
"command": "npx",
"args": [
"@modelcontextprotocol/inspector",
"\\"
]
}
}
}工具列表暂未提供
当前收录暂时没有可展示的工具列表,不代表服务没有工具。请查阅项目文档了解支持的能力。
点击上方按钮,在临时沙箱中运行此服务器并实时获取工具列表。
It is an MCP server implementation that provides access to various storage services via Apache OpenDAL™. It allows AI assistants like Claude Desktop to list and read files from multiple storage backends (S3, Azure Blob, GCS, and more) through a unified interface.
Install with pip install mcp-server-opendal, then configure storage services via environment variables (prefix OPENDAL_). For Claude Desktop, add a corresponding entry to claude_desktop_config.json using uvx mcp-server-opendal (requires uv). After configuration, use tools like list and read with URIs such as mys3://path/to/file. The server also loads configuration from a .env file automatically.
.env)The server supports any service that Apache OpenDAL™ integrates with, including S3, Azure Blob Storage, Google Cloud Storage, and many others.
Set environment variables prefixed with `OPENDAL_` in your MCP client’s environment or in a `.env` file. For example, `OPENDAL_MYS3_TYPE=s3`, `OPENDAL_MYS3_BUCKET=mybucket`.
Add a block to `claude_desktop_config.json` specifying the command `uvx` and argument `mcp-server-opendal`, plus the required environment variables. Ensure `uv` is installed on your machine.
Yes, the server requires `uv` to be installed. It also uses the `opendal` Python package, which is installed automatically via `pip`.
Yes, the server automatically loads environment variables from a `.env` file if one is present in the working directory.
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