"Google Chat" matching MCP connectors:

Google Keep-style notes app with an MCP server for AI agents to read/write notes.

Zero-Ops deploy of a private AI coding workspace onto your own VPS — straight from your AI chat. Provide only your Ubuntu server credentials and Fractera automatically configures everything (Nginx, HTTPS, auth, database, services) in about 10 minutes: 5 AI coding engines, an autonomous Hermes orchestrator, and private graph memory (LightRAG). No terminal, no DevOps. IP-first and free; a custom domain with HTTPS is an optional later step.

A wiki about your life that writes itself. Save from any AI chat, recall it in the next.

A personal RAG database you build from chat, so AI creates work that sounds like you.

Search your AI chat history (ChatGPT, Claude, Codex) from any MCP client. Remote, private, read-only

An agent-native database over MCP: shared, validated, structured records in every AI chat.

Private memory layer — one library your notes, docs, and chat history live in, that any AI tool (Claude, Cursor, ChatGPT) connects to over MCP instead of re-pasting context. Semantic search over your own documents with citations; every memory is a document you can read, edit, and delete. ~80% fewer context tokens than pasting your library. Connect via OAuth (sign in when prompted) — get started at

A persistent world-building memory your AI can read and write in any chat.

Persistent memory and vector search for AI agents. Hosted, OAuth-protected via Google sign-in.

Threadminder gives your AI persistent context across every chat and session, so your AI always knows what's going on - where your projects stand, what's in progress, and what's next. No re-explaining. No starting from scratch. Just open Claude and keep going.

Universal memory for AI agents and tools. Save, organize and search context on any AI tool or platform. Here's what you can do with AI Context Flow: 1. Organize your projects as memory buckets 2. Save important chats directly from within chat agents 3. Give all your agents (OpenClaw, Claude Code, Lovable, and more) a shared persistent memory 4. Share your buckets with other people Docs: docs.plurality.network/the-plurality-mcp-server Github: github.com/Web3-Plurality/plurality-mcp-server

Make your knowledge agent-ready. Connect docs from Confluence, Notion, GitHub, Dropbox, or Google Drive — any AI agent searches them via one MCP endpoint. 3 retrieval modes: vector search, broad search, and full document access. The agent decides how deep to dig.