MCP Ipfs
The MCP IPFS Server is a Node.js - based server that implements the Model Context Protocol (MCP) for interacting with the storacha.network platform via the w3 command - line tool. It encapsulates the w3 CLI functions, provides operations such as space management, data upload/download, and authorization delegation, and supports language models and other MCP clients to access IPFS storage services through a standardized interface.
2.5 points
8.4K

What is the MCP IPFS Server?

The MCP IPFS Server is a bridge service connecting language models to the storacha.network platform. Through the standardized protocol (MCP), it enables AI assistants to directly manage IPFS storage space, upload and download files, set access permissions, etc., without dealing with underlying technical details.

How to use the MCP IPFS Server?

Simply configure the server connection information in your AI system, and the AI can manage IPFS storage through natural language instructions. For example, saying 'Please upload this document to my storage space', the server will automatically convert it into a w3 CLI command for execution.

Applicable scenarios

Suitable for scenarios where AI systems need to be integrated with decentralized storage, such as: - Automatic backup of AI-generated content - Cross-platform data sharing - Building an AI knowledge base based on IPFS - Automated file management workflows

Main features

Authentication management
Supports w3 account login/logout/switching and manages API access permissions.
Storage space management
Creates/views/switches storage spaces and manages space quotas and settings.
Data transfer
Operations such as file upload/download, directory listing, and content deletion.
Sharing and collaboration
Generates sharing links, sets access permissions and expiration dates.
Advanced storage features
Supports professional features such as CAR files, Blob storage, and Filecoin bridging.
Advantages
Standardized interface: Provides a unified AI operation interface through the MCP protocol.
Comprehensive functions: Covers over 90% of the commonly used functions of the w3 CLI.
Cross-platform: Supports two deployment methods, Docker and NPX.
Automation: Eliminates the trouble of manually entering complex commands.
Limitations
Requires pre - configuration of the w3 CLI environment.
Some interactive commands (such as space_create) need to be executed manually.
Absolute file paths need to be used.

How to use

Environment preparation
Install Node.js v22+ and the w3 CLI tool.
Server deployment
Choose the NPX or Docker method to start the service.
Client configuration
Add the MCP server configuration to the AI system.

Usage examples

Automatically back up AI-generated content
The AI can automatically upload the generated report to the specified storage space and return a sharing link.
Synchronize the team knowledge base
By setting up a regular task, automatically synchronize the updated knowledge documents to the shared space.

Frequently asked questions

Why do I need to install the w3 CLI in advance?
How can I view the used storage space?
How to handle file paths when using the Docker method?

Related resources

MCP protocol specification
Official technical specification of the Model Context Protocol.
storacha.network official website
Official storage service platform.
GitHub repository
Project source code and latest updates.

Installation

Copy the following command to your Client for configuration
{
  "mcpServers": {
    "ipfs": {
      "command": "npx",
      "args": ["-y", "mcp-ipfs"],
      "env": {
        "W3_LOGIN_EMAIL": "your-email@example.com"
      }
    }
  }
}

{
  "mcpServers": {
    "mcp-ipfs": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "-v",
        "/path/to/your/project:/path/to/your/project",
        "-e",
        "W3_LOGIN_EMAIL",
        "alexbakers/mcp-ipfs"
      ],
      "env": {
        "W3_LOGIN_EMAIL": "your-email@example.com"
      }
    }
  }
}
Note: Your key is sensitive information, do not share it with anyone.

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