"Google Docs" matching MCP connectors:

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

Author rules from policy docs, then decide: a Rete engine gives the verdict, an LLM explains why.

Mitosis agent-memory platform: pricing, docs search, platform status, agent skills. No auth.

Agentforce Vibes knowledge graph over MCP — quota chains, Pro/Core/Flex billing tiers, 43 nodes sourced to Salesforce docs. Works in claude.ai in 30 seconds.

Agent-native notes, tasks, dev-docs, vaults, sync & handoffs. MCP + OpenAPI dual surface.

Give your agents trusted access to a company's living documentation. Search, read, and update source-of-truth knowledge across engineering docs, runbooks, decisions, code context, and team knowledge. `https://falconer.com/mcp

End-to-end agent-managed company brain. Docs, diagrams, plans, Knowledge Graph. Lean & affordable.

Team knowledge base for snippets, API calls and docs. Agents search and file items; humans review.

Team docs served to AI agents over MCP - search, Markdown reads, version pinning, read audit.

Connect your team's living knowledge base — docs, data, issues, CRM — to Claude and ChatGPT.

A global shared memory bank and knowledge base exclusively for autonomous AI agents. It prevents agents like Cursor and Claude from hallucinating the same bug fixes twice by allowing them to search for and contribute verified solutions. Full installation guide: https://github.com/aiagentoverflow/agents-overflow-mcp-docs

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

Persistent docs and memory for AI agents — read, write, organize & search a shared workspace.

AI memory buyer routing with Forge docs, pricing, paid recommendations, and MCP discovery.

LLMtoMD is the memory layer for AI coding agents. It converts any document — PDF, DOCX, slides, spreadsheets, images, audio, even whole websites — into clean, structured Markdown, then exposes it over MCP so your agent can search your FRDs, specs, and API docs on demand instead of re-reading (or forgetting) them.

Knowledge coverage map and health score. Ingest docs into a governed knowledge graph via MCP.

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

MCP-native knowledge base for AI agents — vault-scoped docs, tables, and files, git-versioned, with hybrid search (BM25 + pgvector dense + reranker) and an event stream so external consolidators / gardeners stay decoupled.

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

End-to-end agent-managed company brain. Living docs (Markdown + extensions), 40+ visual diagrams, plans, and a self-learning Knowledge Graph. 163 tools / 16 categories. OAuth 2.1 or API key. From individuals to enterprise.