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