"Super User" matching MCP connectors:

XMemoBOAuth

io.github.yonro

XMemo is a user-owned Memory OS for AI agents, providing a shared, persistent memory layer across AI assistants, IDEs, CLIs, tools, projects, and sessions. It enables ChatGPT, Claude, Codex, Cursor, Gemini, and other supported AI clients to access authorized long-term context without requiring users to repeatedly explain their preferences, project decisions, or previous work. Beyond basic memory storage and retrieval, XMemo supports semantic search, contextual recall, memory updates and corrections, source attribution, version history, project-scoped context, task tracking, and governed memory lifecycle management. Identity-aware access controls, scoped authorization, and memory isolation help users manage which agents and workflows can access their information. XMemo also provides advanced capabilities for structured knowledge, reusable procedures, and memory consolidation through its broader Memory OS platform. Connect through hosted MCP with OAuth or bearer-token authentication, or integrate directly through REST APIs and supported client tools. Memory remains available across authorized clients and sessions, with user-controlled access, export, and deletion. Website: https://xmemo.dev Documentation: https://xmemo.dev/docs

Configure MemoryA

dev.configure.mcp

Bring saved project decisions, preferences and goals into your next AI task. Configure keeps user-chosen context in a persistent, searchable profile with OAuth, explicit saves and user-provided imports.

GrabblistA

com.grabbitapp

Save and organize web finds in persistent, user-controlled collections for AI assistants.

`graphrag-ts` is a TypeScript GraphRAG engine and a self-hosted Streamable HTTP MCP service for Markdown corpora. This Hermes entry connects to a service that the user runs on the same machine; it does not install or host the GraphRAG server.

DocsieOAuth via extension

io.docsie.app

Docsie MCP brings your documentation workflow directly into your AI assistant. Create, edit, and publish documentation without switching between tools. Convert videos into structured documentation instantly, run compliance analysis across text, audio, and video content, and use semantic search to find exactly what you need across your knowledge base. Whether you're building product documentation, SOPs, user guides, or technical manuals, Docsie MCP makes documentation faster, smarter, and powered

Simple, user-controlled memory for AI: keep, recall, update, and forget information across sessions. Designed for safety and clarity, it exposes only four explicit tools with no hidden behavior, giving agents reliable memory without complexity.

Persistent memory for AI coding agents. Store coding standards, architecture decisions, and project context across sessions with AES-256 encryption.

Durable, user-controlled goals for AI agents, kept across any MCP client.

Read-only MCP server exposing a user ORANO library to their own AI agent.

Science-based self-help change tools inspired by SMART Recovery, with private per-user memory.

User-owned files and explicit AI Memories for authorized assistants with scoped access.

Search screen text, audio transcriptions, app data and memories already synced to your Screenpipe account. Offers synced-devices and search-synced-content with read-only OAuth (data-sync:read). Requires Data Sync to be available and enabled. Local-only recordings are excluded; connecting does not enable uploads. Requested results go to your connected AI provider. Submitted by the Screenpipe team.

Savantis MemoryOAuth

com.savantisai

One user-owned memory shared across AI assistants: recall, spaces, and confirmed references.

Chinese-first brain-inspired memory MCP — hybrid recall, 7-layer user profile, workspace assembly.

LuckMeAIOAuth

com.luckmeai

User-authorized access to a LuckMeAI life book, journal, memories, relationships, and charts.

Long-term memory for AI assistants. Isolated per-user storage, recall across conversations.

One memory, every AI. A shared, user-owned markdown memory your AI clients read and write over MCP.