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Model Context Protocol Server for Apache OpenDAL™

Model Context Protocol Server for Apache OpenDAL™

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github.com/XuanwoFiles & Storage35Updated 81w ago
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About Model Context Protocol Server for Apache OpenDAL™

An MCP server built on Apache OpenDAL™ that provides access to multiple storage services through one interface, including S3, Azure Blob Storage and Google Cloud Storage. It suits users who want MCP clients to browse and read files held in cloud or object storage.

Key features

  1. 01Access to multiple storage services
  2. 02List files and directories in storage
  3. 03Read file contents with text or binary detection
  4. 04Storage services configured through environment variables

Use cases

  1. 01Browsing files in S3 or similar object storage from Claude Desktop
  2. 02Reading text or binary files stored in cloud storage
  3. 03Switching between several configured storage services

MCP support

The server exposes tools such as read and list to MCP clients, which can reference configured services with paths like mys3://.

Configuration

Local server config is the same for every client. Copy it into your client’s MCP config file.

mcp.json · Universal config
{
  "mcpServers": {
    "opendal": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/inspector"
      ]
    }
  }
}
Run commandnpx -y @modelcontextprotocol/inspector

Local servers need a runtime on your machine (e.g. Node.js 18+). Config file locations differ by client; see your client’s docs.

Packages
npm@modelcontextprotocol/inspector

Tools

No tool list yet

Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.

Details

From the project README

Model Context Protocol Server for Apache OpenDAL™

A Model Context Protocol (MCP) server implementation that provides access to various storage services via Apache OpenDAL™.

PyPI - Version PyPI - Python Version Lint and Test

Features

  • Seamless access to multiple storage services including S3, Azure Blob Storage, Google Cloud Storage, and more
  • List files and directories from storage services
  • Read file contents with automatic text/binary detection
  • Environment variable based configuration

Installation

pip install mcp-server-opendal

Usage with Claude Desktop

Add the following to claude_desktop_config.json:

{
  "mcpServers": {
    "opendal": {
      "command": "uvx",
      "args": [
        "mcp-server-opendal"
      ],
      "env": {
        "YOUR_ENV_VAR": "YOUR_ENV_VALUE"
      }
    }
  }
}

It requires uv to be installed on your machine. Check the official documentation for installation guides.

Environment variables

Configure storage services by setting environment variables. Each service requires a prefix and specific configuration options.

For example, to configure an S3 service with alias "mys3":

OPENDAL_MYS3_TYPE=s3
OPENDAL_MYS3_BUCKET=mybucket
OPENDAL_MYS3_REGION=us-east-1
OPENDAL_MYS3_ENDPOINT=http://localhost:9000
OPENDAL_MYS3_ACCESS_KEY_ID=myaccesskey
OPENDAL_MYS3_SECRET_ACCESS_KEY=mysecretkey

Then you can use tool like read and list with mys3://path/to/file.

mcp-server-opendal will also load from .env.

Development

npx @modelcontextprotocol/inspector \
  uv run mcp-server-opendal

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