The Model Context Protocol (MCP) lets an AI agent call external tools — and the most useful tool you can hand it is memory. An MCP memory server exposes remember, recall, and search as tools the agent invokes on its own: it saves a decision when you make one and recalls it next session without being asked.
What the Kit for AI MCP server exposes
- remember / recall — store facts and retrieve them by meaning, with automatic deduplication.
- search_knowledge_base — hybrid semantic + keyword search over everything you've ingested.
- convert_url and document tools — the agent can read a page or file into its own knowledge base mid-task.
- Write tools — create, append, and correct knowledge base documents (with your confirmation in chat).
Setup: one config block
Claude Code installs it as a plugin from the marketplace (l33tcy/kitforai-claude); Claude Desktop, Cursor, Windsurf, and Cline take the same server as a standard MCP entry with your API key. Agents can even self-configure from kitforai.com/llm-setup. The full walkthrough is in the Claude memory guide.
Why a cloud MCP memory server beats a local one
Local memory servers keep records in a file on one machine — fine until you switch laptops, reinstall, or want your other tools to share it. A cloud memory server is one store for every client: what your IDE agent learns, your desktop assistant recalls, across machines and models.
Connect your first agent in minutes — Start free and add the MCP server.