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.
rating : 2.5 points
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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 workflowsMain features
Authentication managementSupports w3 account login/logout/switching and manages API access permissions.
Storage space managementCreates/views/switches storage spaces and manages space quotas and settings.
Data transferOperations such as file upload/download, directory listing, and content deletion.
Sharing and collaborationGenerates sharing links, sets access permissions and expiration dates.
Advanced storage featuresSupports professional features such as CAR files, Blob storage, and Filecoin bridging.
Advantages and limitations
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 contentThe AI can automatically upload the generated report to the specified storage space and return a sharing link.
Synchronize the team knowledge baseBy 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.
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