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Model Context Protocol Server for Apache OpenDAL™

Publisherxuanwo
Repositorymcp-server-opendal
LanguagePython
Forks
9
Stars
34
Available tools
0
Transport typestdio
Categories
LicenseApache-2.0
Links
  • Connect tools to AI workflows

    OpenDAL exposes MCP capabilities that can be used by compatible AI clients and agents.

  • 0 available tools

    Browse the callable actions below, including names and descriptions when provided by the server.

  • Ready-to-copy setup

    Use the installation snippets to configure this server in your preferred MCP client.

  • Open source signals

    34 stars and 9 forks from the linked repository.

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

shell
pip install mcp-server-opendal

Usage with Claude Desktop

Add the following to claude_desktop_config.json:

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

shell
npx @modelcontextprotocol/inspector \
  uv run mcp-server-opendal

Installation

TypingMind
Prerequisites:

Node.js 18+

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

Use OpenDAL MCP with multiple AI models

TypingMind connects MCP tools at the workspace level, so once OpenDAL is connected, you can use it with different AI models in TypingMind instead of setting it up separately for each model. This MCP runs locally through the TypingMind MCP connector on your device.

Setup guide to use the local connector

Use this when the MCP server needs access to local files, apps, or private resources on your computer.

1

Open the MCP settings

In TypingMind, go to Settings, Advanced Settings, then Model Context Protocol and choose Setup Connector.

  1. Open TypingMind in your browser.
  2. Click the Settings icon.
  3. Go to Advanced Settings.
  4. Open the Model Context Protocol section.
  5. Click Setup Connector and choose This Device.
TypingMind MCP connector setup screen with This Device selected
2

Run the connector command

Choose This Device, copy the command from TypingMind, and run it in Terminal. Keep the process running while you use MCP.

  1. Copy the setup command shown by TypingMind.
  2. Open Terminal on macOS or Windows Terminal on Windows.
  3. Paste and run the command.
  4. Approve the package install if Terminal asks you to proceed.
  5. Keep the Terminal window running while using MCP tools.
3

Add OpenDAL as a server

When the connector status is Ready, click Edit Servers and paste the MCP server configuration.

  1. Wait until the connector status shows Ready.
  2. Click Edit Servers.
  3. Paste the OpenDAL MCP server configuration.
  4. Save the server list.
  5. Refresh if you want to confirm the connector is still ready.
TypingMind MCP settings showing active server and Edit Servers button
{
  "mcpServers": {
    "opendal": {
      "command": "npx",
      "args": [
        "-y",
        "mcp-server-opendal"
      ]
    }
  }
}
4

Use it across models

Save the server list, open Plugins, enable the OpenDAL MCP tools, then select any supported AI model in TypingMind and use the tools in chat or assign them to an AI agent.

  1. Open the Plugins page in TypingMind.
  2. Enable the OpenDAL MCP tools.
  3. Start a chat and choose the AI model you want to use.
  4. Use the MCP tools in chat or assign them to an AI agent.
  5. Switch to another AI model whenever needed without reconnecting MCP.
TypingMind chat using enabled MCP tools with a selected AI model
Can you use OpenDAL to help me with this task?
OpenDAL
Sure. I read it.
Here is what I found using OpenDAL.

Frequently asked questions

What is the OpenDAL MCP server used for?

OpenDAL is an MCP server that lets compatible AI clients connect to external tools and context. In TypingMind, you can add this MCP server once and make its tools available in your AI workspace.

Can I use OpenDAL MCP with multiple AI models in TypingMind?

Yes. TypingMind connects MCP tools at the workspace level, so you can use OpenDAL with different AI models such as Claude, ChatGPT, Gemini, or other models you have configured in TypingMind without setting up the MCP server separately for each model.

Why use OpenDAL MCP with TypingMind?

TypingMind is one of the best frontends for LLM chat because it brings multiple AI models, prompts, plugins, AI agents, API keys, and MCP tools into one workspace. With OpenDAL connected, you can use its MCP tools across your preferred models while keeping your chat workflow organized in TypingMind.

How do I connect OpenDAL MCP to TypingMind?

OpenDAL runs through the TypingMind local MCP connector. This is best when the MCP server needs access to local files, desktop apps, command-line tools, or private resources on your computer.

What tools does OpenDAL MCP provide in TypingMind?

OpenDAL exposes MCP capabilities that can be enabled from the TypingMind Plugins page and used in chat or assigned to AI agents.

Do I need to share my API keys with TypingMind to use OpenDAL MCP?

No. TypingMind is local-first and lets you keep your model providers, API keys, prompts, and MCP configuration under your control. If OpenDAL requires authentication, add the required headers, OAuth settings, or local configuration for that MCP server when you create the connection.

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