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cloud-infrastructurefile-systems

OpenDAL

by xuanwo

Integrate with OpenDAL for unified access to multiple storage systems, enabling LLMs to manage data efficiently across b

Integrates with OpenDAL to provide unified access to diverse storage backends, enabling LLMs to read from and write to various storage systems for data management tasks.

github stars

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Both formats append explainx.ai attribution and the canonical URL for this MCP server listing.

20+ supported storage servicesEnvironment variable configurationAutomatic text/binary file detection

best for

  • / Multi-cloud data management and migration
  • / LLM applications needing storage-agnostic file access
  • / Developers working with heterogeneous storage environments

capabilities

  • / Read files from S3, Azure Blob, Google Cloud Storage
  • / List directories across multiple storage services
  • / Write data to various cloud storage backends
  • / Access local and remote file systems uniformly
  • / Configure multiple storage services simultaneously

what it does

Provides unified access to multiple cloud storage services (S3, Azure Blob, Google Cloud, etc.) through a single interface. Allows LLMs to read files, list directories, and manage data across different storage backends.

about

OpenDAL is a community-built MCP server published by xuanwo that provides AI assistants with tools and capabilities via the Model Context Protocol. Integrate with OpenDAL for unified access to multiple storage systems, enabling LLMs to manage data efficiently across b It is categorized under cloud infrastructure, file systems.

how to install

You can install OpenDAL 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.

license

Apache-2.0

OpenDAL is released under the Apache-2.0 license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.

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

FAQ

What is the OpenDAL MCP server?
OpenDAL is a Model Context Protocol (MCP) server profile on explainx.ai. MCP lets AI hosts (e.g. Claude Desktop, Cursor) call tools and resources through a standard interface; this page summarizes categories, install hints, and community ratings.
How do MCP servers relate to agent skills?
Skills are reusable instruction packages (often SKILL.md); MCP servers expose live capabilities. Teams frequently combine both—skills for workflows, MCP for APIs and data. See explainx.ai/skills and explainx.ai/mcp-servers for parallel directories.
How are reviews shown for OpenDAL?
This profile displays 65 aggregated ratings (sample rows for discoverability plus signed-in user reviews). Average score is about 4.8 out of 5—verify behavior in your own environment before production use.

Discussion

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MCP server reviews

Ratings

4.865 reviews
  • Li Lopez· Dec 24, 2024

    OpenDAL reduced integration guesswork — categories and install configs on the listing matched the upstream repo.

  • Daniel Reddy· Dec 20, 2024

    OpenDAL is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.

  • Kabir Huang· Dec 20, 2024

    I recommend OpenDAL for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.

  • Chaitanya Patil· Dec 8, 2024

    I recommend OpenDAL for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.

  • Amina Haddad· Dec 8, 2024

    OpenDAL has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.

  • Piyush G· Nov 27, 2024

    Strong directory entry: OpenDAL surfaces stars and publisher context so we could sanity-check maintenance before adopting.

  • Aditi Dixit· Nov 27, 2024

    OpenDAL reduced integration guesswork — categories and install configs on the listing matched the upstream repo.

  • Amina Perez· Nov 15, 2024

    Useful MCP listing: OpenDAL is the kind of server we cite when onboarding engineers to host + tool permissions.

  • Chen Perez· Nov 15, 2024

    OpenDAL has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.

  • Mateo Sethi· Nov 11, 2024

    According to our notes, OpenDAL benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.

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