Store FAQs

Question 1

What kind of data can 'Store' manage?

Accepted Answer

'Store' is capable of managing both simple key-value pairs and more complex structured data. This flexibility allows AI agents to store various forms of information, from simple facts to intricate contextual data.

Question 2

How do I set up 'Store' for my AI agent or MCP client?

Accepted Answer

You integrate 'Store' by configuring your MCP client (e.g., Claude Desktop) to connect to the 'Store' server. This typically involves adding a configuration entry in your client's settings file, specifying the command to run the 'Store' MCP server and optionally setting environment variables for custom storage paths.

Question 3

What is 'Store' and its primary purpose?

Accepted Answer

'Store' is a Model Context Protocol (MCP) server designed to give AI agents persistent key-value storage. Its primary purpose is to allow AI agents to manage, retain, and retrieve information reliably across different sessions, acting as an external memory.

Question 4

How do AI agents interact with 'Store'?

Accepted Answer

AI agents interact with 'Store' through a set of exposed MCP tools. These include `store_data` to save information, `retrieve_data` to query data by key, `list_keys` to view available data, and `delete_data` to remove stored items.

Question 5

Is the data stored in 'Store' truly persistent?

Accepted Answer

Yes, data stored in 'Store' is fully persistent. It utilizes a local file-based storage system (JSON by default) to ensure that all information is saved and remains available even after server restarts or across multiple AI agent sessions.

Store

Store

Key Features

Use Cases

Key Features

Use Cases