"An overview of Google Workspace" matching MCP servers:

Enables AI-powered management of Google Keep notes, including search, create, update, delete, archive, and label operations.

Enables reading Google Docs and Sheets and syncing content into Obsidian notes using a dedicated sync block, preserving user edits outside the synced region.

Connects any number of Notion workspaces through a single MCP server, exposing four tools for connecting, listing, searching, and fetching Notion content. Ensures constant tool surface regardless of workspace count, with OAuth-based security.

Implements an MCP server that interacts with Google Sheets to store and retrieve prompts and ideas, allowing management of textual content with metadata across spreadsheet tabs.

Read-only MCP server that exposes your local Notion backups to AI agents — query databases, read pages, search a backed-up workspace. Offline by default: no LLM calls, no telemetry, no cloud.

An MCP server for managing contextual data as markdown files with metadata, enabling agents to save, retrieve, search, and delete contexts using simple CRUD operations.

Enables coding agents to use an Obsidian vault as long-term memory, with search, reading, and writing of notes, plus automatic capture of learnings that are propagated to MOCs, daily notes, and the knowledge index with git commits.

Enables automatic filing of notes, links, and meeting lines by classifying each item’s kind, project, urgency, and duplicates, while storing your original text unchanged in an append-only inbox.

Provides MCP tools to read, write, append, and edit prose sections of nodes, backed by an in-memory or substrate-direct (Urania) backend.

Reads the local SQLite cache of the Notion desktop app to enable fast, offline search and retrieval of Notion pages from Claude.

Enables Claude to control the AI Coach desktop pet, making the mascot react to the conversation, accept care, show messages, act out activities, preview local files, and manage user memos.

An MCP server that lets Claude Code recall the context of past conversations from any project on demand.

Memory vaults on your own machine, one per life domain, retrieved with a local BM25 index fused with vector search, where the human decides which vaults a model may answer from. Requires the Mnemosyne OS desktop app running locally; it also reports what other coding agents on the same machine are doing.

A Model Context Protocol server that turns your Joplin notebook into a tool an LLM can actually use — read, search, write, and organize notes, and pull OCR'd text straight out of your screenshots.

MCP server for Google NotebookLM. 27 tools to manage notebooks and sources (web pages, YouTube, text, Google Drive), ask questions answered only from your sources, run web research, and generate Audio and Video Overviews, slide decks, reports, infographics, flashcards and quizzes. Every tool has MCP annotations and a typed output schema. Runs locally with your own Google session.

Self-hosted MCP server that lets AI agents and MCP clients read and modify Milanote content — boards, notes, links, to-do lists with due dates, columns, labels, comments, sharing, trash and export — through the session of your own signed-in Google Chrome. Works over stdio or HTTP and speaks the same tool set as the accompanying REST API and Python client.

MCP server for extracting links from text dumps, checking duplicates, extracting YouTube transcripts (with fallbacks including speech-to-text), and preparing workspace-ready page payloads for your note-taking or saving tools. It does not write to your workspace; it hands off prepared content to your existing tools.

Enables local clipping of webpages and YouTube transcripts into Obsidian from an AI assistant, with Markdown preview and saving tools, no browser extension or API key required.

An MCP server that provides 49 tools to access Microsoft Outlook for Mac, enabling management of mail, calendar, contacts, tasks, and notes via AppleScript.

Exposes Google NotebookLM notebooks as tools for AI assistants, enabling listing, finding, and querying notebooks with grounded answers.