How To Make Your MCP Clients Share Context with Supermemory MCP

Supermemory is presented as a shared memory layer for AI clients such as Cursor, Claude Desktop, VS Code, Gemini CLI, Cline, and Claude Code, designed to reduce the need to manually copy context between separate tools and conversations. It connects through the Model Context Protocol (MCP) and can be installed either through a dashboard-based one-click setup or manually with an MCP adapter command and OAuth authentication. Once configured, the service provides tools for adding and searching memories, identifying projects and users, and allowing connected AI clients to retrieve prior context during responses. Beyond storing text, Supermemory claims to build a knowledge graph that infers relationships among people, topics, conversations, and sources across applications such as chats, Notion pages, and Gmail threads. Users can also manage retention periods, deletion rules, and encryption scope, with the stated goal of providing a unified, searchable memory system across AI tools.

Use this post, company, and trend context to find content marketing opportunities, perform competitive analysis, or address product feature gaps via the Plushcap MCP server or the Plushcap API.