Frequently Asked Questions (FAQ) about Memory MCP Server

What is the Memory MCP Server?

The Memory MCP Server is a specialized server designed to store and retrieve contextual information for AI models, using the Model Context Protocol (MCP). It allows AI Agents to retain and utilize information across multiple sessions and interactions.

How do I install the Memory MCP Server?

You can install the Memory MCP Server using uv pip install memory-mcp or directly from source using uv pip install ..

How do I start the Memory MCP Server?

Start the MCP server by running the memory-mcp command in your terminal.

What tools are available in the Memory MCP Server?

The available tools include remember (to store new memories), get_memory (to retrieve memories), list_memories (to list all stored memories), update_memory (to update existing memories) and delete_memory (to delete memories).

What is MCP Inspect and how do I use it?

MCP Inspect is a command-line tool that allows you to debug and interact with your MCP server directly. You can use it by running mcp inspect in your terminal after installing the MCP CLI tools with uv pip install mcp[cli].

How does the Memory MCP Server integrate with the UBOS platform?

The Memory MCP Server is designed to integrate seamlessly with the UBOS platform, providing a centralized management platform, data connectivity, orchestration, and customization options for AI Agents.

Can I contribute to the development of the Memory MCP Server?

Yes, you can contribute to the project by installing the development dependencies using uv pip install -e ".[dev]" and following the guidelines for code formatting, linting, and type checking.

What is the Model Context Protocol (MCP)?

MCP is an open protocol that standardizes how applications provide context to LLMs, facilitating seamless integration and interoperability between different AI models and applications.

Why use Memory MCP Server?

The Memory MCP Server enhances AI Agents by providing persistent and efficient memory storage. This makes them more context-aware, adaptive, and effective in various applications, such as personalized AI assistants and customer support.

What kind of data can I store in the Memory MCP Server?

You can store any kind of contextual data that is relevant to your AI Agent, such as user preferences, past interactions, research findings, code snippets, and content templates.