# OpenDAL

> Use this tool when you need to integrate large language models (LLMs) with various storage systems, such as cloud object stores, local filesystems, or databases, to read or write data. OpenDAL provides a unified interface for storage operations, simplifying data management tasks for AI applications. It allows LLMs to access and interact with different storage backends through a single, universal data access layer.

Canonical page: https://skillsregistry.net/skills/xuanwo-opendal  
JSON: https://api.skillsregistry.net/v1/skills/xuanwo-opendal

## Description

This MCP server implementation provides tools to access storage services for usage by LLMs. It integrates with OpenDAL, a universal data access layer, allowing interaction with various storage backends. The server is designed for use cases requiring AI models to read from or write to different storage systems, such as cloud object stores, local filesystems, or databases. It offers a unified interface for storage operations, simplifying data management tasks for AI applications.

## Trust

- **Trust score (0–1):** 0.64
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-09-01

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/xuanwo-opendal)
- **Repository:** <https://github.com/xuanwo/mcp-server-opendal>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "xuanwo-opendal"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/xuanwo-opendal` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/xuanwo-opendal/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt