Frequently Asked Questions

What is the UBOS MCP Server? The UBOS MCP Server is a Model Capabilities Provider that acts as a persistent memory bank, allowing for the storage, retrieval, and management of memories using TypeScript.

How does the MCP Server integrate with AI models? The MCP Server uses the Model Context Protocol to allow AI models to access and interact with external data sources and tools seamlessly.

What are the key features of the MCP Server? Key features include unlimited memory storage, smart keyword detection, comprehensive logging, and full JSON-RPC implementation for Smithery.ai deployment.

How can I deploy the MCP Server? You can deploy the MCP Server using Smithery.ai by ensuring your code is in a Git repository, creating a Smithery.ai account, and connecting your repository for seamless deployment.

Is there a limit to the amount of data I can store? No, the MCP Server offers unlimited storage, allowing you to scale your data management as needed.