- Query Mind Server
Query Mind Server
What is Query Mind Server?
Query Mind Server is a Model Context Protocol (MCP) server implementation for Storacha hot storage, enabling AI applications to store and retrieve files through a standardized interface. It facilitates trustless, decentralized data exchange using IPFS and CIDs, ensuring data sovereignty and verifiability.
How to use Query Mind Server?
To use Query Mind Server, clone the repository from GitHub, install the necessary dependencies, and configure the MCP client to connect to the server. Users can sign up for free storage options and follow the installation guide to set up their environment.
Key features of Query Mind Server?
- Decentralized storage using IPFS and CIDs
- Free storage options for GitHub and email users
- Support for document storage, data sharing, and application integration
- Tools for uploading and retrieving files
- Integration with AI models and machine learning datasets
Use cases of Query Mind Server?
- Secure document storage and analysis
- Long-term structured data storage
- Data sharing between AI agents and systems
- Application integration for seamless data access
- Backup solutions for web applications
FAQ from Query Mind Server?
- What is the maximum free storage available?
GitHub users receive 100MB, while email users can unlock 5GB of free storage.
- Can I integrate this server with my AI applications?
Yes! The server is designed for easy integration with AI systems and supports various data operations.
- Is there a guide for installation?
Yes! A detailed installation guide is provided in the repository.
Server Config
{
"mcpServers": {
"storacha-storage-server-rest": {
"command": "node",
"args": [
"./dist/index.js"
],
"url": "http://localhost:3001/rest",
"env": {
"MCP_TRANSPORT_MODE": "rest",
"PRIVATE_KEY": "MgCYRmxYvQXnsRODA3Sd5vR9xtp6si7/u0STIJPcNeqbO1e0BL8p24S9r1pIYWVYlnVCy7LqWs+UBXQUtva4dUVr0CEY=",
"DELEGATION": "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"
},
"shell": "true"
}
}
}