The Stitch AI MCP Server is a decentralized memory management backend implementing the Model Context Protocol to support AI agents' long-term knowledge and memory handling. It exposes a set of tools to create and manage named memory spaces, upload and retrieve memories, and query spaces and memories with optional filters. Key capabilities include creating a new memory space (space_name and type), deleting spaces, listing all spaces, uploading a memory (space, message, and memory content), retrieving a specific memory by ID, and fetching all memories from a space with optional memory_names filtering, as well as limit and offset controls (default limit 50, offset 0). This architecture enables agents to store structured context and retrieve relevant memories efficiently, serving as a decentralized knowledge hub within Stitch AI's memory management system. The README also provides guidance for running the server via npm run start and integrating with Claude Desktop, including an example configuration for a Claude for Desktop integration.