How to Connect Claude AI with Akave Cloud Using MCP?

Learn to connect Claude AI to Akave Cloud using the Model Context Protocol (MCP). Create buckets, upload files, and generate pre-signed URLs with natural language.
Bart Hofkin
November 14, 2025

Overview

This short guide explains how to connect Claude AI to Akave Cloud using an MCP (Model Context Protocol) server.

In this demo, we walk you through how to:

  • Configure Claude Desktop for MCP
  • Connect it to Akave Cloud
  • Create a bucket
  • Upload a file
  • Generate a pre-signed URL to share data

The result: You can interact with Akave Cloud through Claude in natural language — managing buckets, uploading files, and retrieving them using simple prompts.

What You’ll Need to Setup Akave Cloud with Claude?

Before getting started, make sure you have:

  • Claude Desktop (MCP is only supported in the desktop version)
  • Akave Cloud credentials (Access key, secret key, and endpoint)
  • Akave MCP configuration snippet from the Akave Documentation

Step-by-Step: Configuring MCP with Claude Desktop

1. Open Claude Desktop Settings

Launch the Claude Desktop app and go to:

Settings → Developer → Edit Config

This opens your Claude Desktop configuration file (claude_desktop_config.json) in your default text editor.

2. Add the Akave MCP Configuration

You can copy the Akave MCP configuration directly from our official docs

Paste the Akave MCP configuration JSON into your claude_desktop_config.json file and include your Akave credentials.

Once done, save the file.

3. Restart Claude Desktop

After saving the configuration file, restart Claude Desktop for the changes to take effect.

When it reopens, Claude will automatically detect the MCP integration and connect to Akave Cloud.

Using Akave Cloud with Claude

4. Create a Bucket

Once the integration is active, you can start giving Claude natural-language commands.

For example:

“Create a new bucket on the Akave network.”

Claude recognizes the Akave MCP connection and creates a demo bucket on Akave Cloud.

5. Upload a File

Next, you can upload a text file into the newly created bucket. 

“Upload a file containing the words ‘Yay MCP!’ to Akave”

Claude performs the upload automatically through the MCP connection.

You can confirm the upload by running an AWS CLI command:

aws s3 ls s3://your-akave-bucket/

✅ Result: The test file appears in your bucket.

6. Generate a Pre-Signed URL

You can also ask Claude to generate a pre-signed URL for the uploaded file.

Claude responds with a time-limited download link (default expiration: 1 hour).
Copy the URL, paste it into your browser, and the file downloads instantly,  no extra authentication required.

End-to-End Flow Recap

By the end of this guide, you have:

  1. Configured Claude Desktop with Akave MCP
  2. Created a bucket on the Akave network
  3. Uploaded a file to Akave Cloud
  4. Generated a pre-signed URL
  5. Verified the file download

Summary

Connecting Claude AI to Akave Cloud through MCP makes it easy to manage verifiable, decentralized storage directly through natural language. It’s a new way to interact with your data, combining AI orchestration with cryptographic verifiability and S3-compatible simplicity.

▶️ Watch the demo: How to Connect Claude AI with Akave Cloud Using MCP

Modern Infra. Verifiable By Design

Whether you're scaling your AI infrastructure, handling sensitive records, or modernizing your cloud stack, Akave Cloud is ready to plug in. It feels familiar, but works fundamentally better.