by xuanwo
Integrate with OpenDAL for unified access to multiple storage systems, enabling LLMs to manage data efficiently across b
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.
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.
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.
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.
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
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
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
Share your MCP server with the developer community
OpenDAL reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
OpenDAL is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
I recommend OpenDAL for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
I recommend OpenDAL for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
OpenDAL has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
Strong directory entry: OpenDAL surfaces stars and publisher context so we could sanity-check maintenance before adopting.
OpenDAL reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
Useful MCP listing: OpenDAL is the kind of server we cite when onboarding engineers to host + tool permissions.
OpenDAL has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
According to our notes, OpenDAL benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
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A Model Context Protocol (MCP) server implementation that provides access to various storage services via Apache OpenDAL™.
pip install mcp-server-opendal
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.
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.
npx @modelcontextprotocol/inspector \
uv run mcp-server-opendal
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
Prerequisites
Time Estimate
10-20 minutes including configuration
Steps
Troubleshooting
✓ Do
✗ Don't
💡 Pro Tips
Architecture
MCP server provides file I/O operations (read, write, search, metadata) as tools Claude can invoke with natural language instructions.
Protocols
Compatibility
✓ 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.