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Walrus MCP
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Walrus MCP

The Walrus MCP Server is an MCP server designed for the Walrus decentralized storage protocol, providing functions for storing, retrieving, and managing data blocks, and integrating with the Sui blockchain to manage storage metadata.
Cloud storageDeveloper tools#Decentralized storage#Blockchain integration#Data management#MCP tools.TypeScript
2 points
6.7K
Open Site

Overview

Installation

Tools List

Content Details

Alternatives

What is the Walrus MCP Server?

The Walrus MCP Server is a bridge service that connects AI assistants (such as Claude) with the Walrus decentralized storage network. Through the Model Context Protocol (MCP), it allows AI assistants to easily store, retrieve, and manage data in the decentralized network.

How to use the Walrus MCP Server?

Before use, you need to install the Node.js environment and configure the MCP client. The main functions, including storing data, retrieving data, and getting data information, can all be completed through simple tool calls.

Use cases

It is suitable for scenarios that require long - term storage of AI - generated content, data sharing, or building decentralized applications. It is particularly suitable for applications that need data persistence but do not want to rely on centralized storage services.

Main features

Decentralized storage operations
Supports storing data in the Walrus decentralized network and reliably retrieving the stored data. All data is identified by a unique ID, and the storage status and validity period can be queried.
Blockchain integration
Deeply integrated with the Sui blockchain to manage storage metadata and lifecycle. Verifies data availability through the blockchain to ensure the reliability and transparency of storage.
Developer tools
Provides easy - to - use MCP tools that support direct upload of Base64 - encoded data and file paths. Includes comprehensive error handling and clear prompt information.
Advantages
Decentralized storage, data is not controlled by a single entity
Blockchain verification ensures data authenticity and availability
Simple and easy - to - use API interfaces, seamless integration with AI assistants
Automated data lifecycle management
Limitations
All stored data is publicly accessible by default, not suitable for sensitive information
Storage costs are related to data size and storage duration
Depends on the blockchain network status, and transactions may need to wait for confirmation

How to use

Installation preparation
Ensure that Node.js (version ≥18) and npm are installed on the system. Clone the repository and install dependencies.
Build the server
Use npm to build the project and generate an executable file.
Configure the MCP client
Add server configuration to MCP clients such as Claude Desktop and specify environment variables.
Start using
Call tools to store or retrieve data, or get network status information through resource URLs.

Usage examples

Store AI - generated content
Permanently store AI - generated reports or images in the decentralized network
Share public data
Create a publicly accessible data link for others to view
Check data status
Verify whether important data is still stored in the network

Frequently Asked Questions

Is the stored data private?
Will the data be stored permanently?
Is there a fee for storing data?
How to get SUI tokens to pay for storage fees?

Related resources

Walrus official documentation
Complete technical documentation of the Walrus protocol
MCP documentation
Detailed description of the Model Context Protocol
GitHub repository
Project source code and issue tracking
Motion Labs community
Developer communication and support community

Installation

Copy the following command to your Client for configuration
{
  "mcpServers": {
    "walrus": {
      "command": "node",
      "args": ["path/to/walrus-mcp/dist/index.js"],
      "env": {
        "WALRUS_AGGREGATOR_URL": "https://aggregator-devnet.walrus.space",
        "WALRUS_PUBLISHER_URL": "https://publisher-devnet.walrus.space"
      }
    }
  }
}
Note: Your key is sensitive information, do not share it with anyone.

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