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.
Both formats append explainx.ai attribution and the canonical URL for this MCP server listing.
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™.
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.
Use Cases▌
Code & Document Analysis
Read, analyze, and understand files in your project
Example
Summarize README, analyze code structure, find TODO comments across codebase
Navigate large codebases 5x faster, understand projects quickly
Automated File Operations
Create, move, rename, and organize files based on natural language instructions
Example
Organize downloads by file type, rename files following convention, batch process images
Save hours on manual file organization
Content Search & Extraction
Search files for patterns, extract data, find information across directories
Example
Find all config files with API keys, extract emails from documents, search logs for errors
Find information instantly instead of manual grep/find
File Generation & Templates
Generate boilerplate files, apply templates, create project structures
Example
Create React component with tests and styles, generate OpenAPI spec, scaffold new project
Eliminate repetitive file creation work
Implementation Guide▌
Prerequisites
- ›Claude Desktop or Cursor with MCP support
- ›File system permissions for directories you want to access
- ›Understanding of file paths and directory structure
- ›Backup of important files before bulk operations
Time Estimate
10-20 minutes including configuration
Installation Steps
- 1.Install filesystem MCP server (often built-in with Claude Desktop)
- 2.Configure allowed directories in MCP config for security
- 3.Test read: 'Show me contents of ~/Documents/test.txt'
- 4.Test write: 'Create a new file notes.md in current directory'
- 5.Test search: 'Find all .js files containing TODO'
- 6.Test batch operations: 'Rename all .jpeg files to .jpg'
- 7.Verify file permissions and access controls
Troubleshooting
- ⚠Permission denied: Check file/directory permissions, run with appropriate user
- ⚠Path not found: Verify path is absolute or relative to working directory
- ⚠MCP server can't access directory: Add to allowed directories in config
- ⚠File already exists: Use overwrite flag or check before writing
- ⚠Operation failed: Check disk space, file locks, antivirus interference
Best Practices▌
✓ Do
- +Configure allowed directories explicitly—don't grant full filesystem access
- +Back up important files before bulk operations
- +Use dry-run mode for risky operations when available
- +Validate file paths before operations
- +Set appropriate file permissions on created files
- +Log file operations for audit trail
- +Test operations on sample files first
✗ Don't
- −Don't grant MCP access to system directories (/etc, /System)
- −Don't allow write access to production config files
- −Don't skip backup before bulk delete/move operations
- −Don't use for sensitive files (passwords, keys) without encryption
- −Don't ignore file permission errors—investigate root cause
- −Don't expose personal documents without considering privacy
💡 Pro Tips
- ★Use .gitignore patterns to exclude sensitive files from AI access
- ★Create sandboxed working directory for file experiments
- ★Combine with version control (git) for easy rollback
- ★Use file watching for real-time monitoring and reactions
- ★Create templates for common file generation tasks
- ★Leverage file metadata (timestamps, size) for smart organization
Technical Details▌
Architecture
MCP server provides file I/O operations (read, write, search, metadata) as tools Claude can invoke with natural language instructions.
Protocols
- Local file system API
- Glob patterns for search
- File streams for large files
Compatibility
- macOS
- Linux
- Windows
- Local files only (no remote filesystems by default)
When to Use This▌
✓ Use When
Use for code analysis, file organization, content search, template generation, and automating repetitive file operations. Best for local development workflows.
✗ Avoid When
Avoid for system-critical files, sensitive credentials, production environments, or when file integrity is paramount. Don't use on files you can't afford to lose.
Integration▌
- →Combine with git for version-controlled file operations
- →Integrate with code editors for seamless workflow
- →Use with backup tools for safety net
- →Pair with file watchers for automated reactions
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
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Ratings
4.8★★★★★65 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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