Xuanwo/mcp-server-opendal

Overview

A Model Context Protocol server that exposes Apache OpenDAL's unified storage API to AI agents. It lets LLMs read, write, and list files across dozens of backends (S3, GCS, local, etc.) through a single MCP interface.

Best for

Best for
Developers building AI agents that need simple file access across multiple storage systems

Use cases

• Give an LLM agent access to cloud object storage without per-backend code
• Let an AI assistant browse and retrieve files from multiple storage providers
• Enable file-based data pipelines where the LLM triggers reads or writes

How to use

Install

pip install mcp-server-opendal

Tools exposed

• uv

Tested with

Claude Desktop

Example client config

{\n  "mcpServers": {\n    "opendal": {\n      "command": "uvx",\n      "args": [\n        "mcp-server-opendal"\n      ],\n      "env": {\n        "YOUR_ENV_VAR": "YOUR_ENV_VALUE"\n      }\n    }\n  }\n}

Notes

A Model Context Protocol server that exposes Apache OpenDAL’s unified storage API to AI agents. It lets LLMs read, write, and list files across dozens of backends (S3, GCS, local, etc.) through a single MCP interface.

34 stars on GitHub. Last updated 2025-04-10. Licensed Apache-2.0.

Use cases

• Give an LLM agent access to cloud object storage without per-backend code
• Let an AI assistant browse and retrieve files from multiple storage providers
• Enable file-based data pipelines where the LLM triggers reads or writes

Pros

• Unified interface for many storage backends reduces integration effort
• Lightweight Python server with low overhead for MCP workflows
• Actively maintained by the OpenDAL project community

Cons

• Relies on OpenDAL’s backend support, which may lag behind provider APIs
• Limited to file-level operations, no streaming or advanced querying
• Small user base (34 stars) means less community support and fewer examples

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.