"Google Fit" matching MCP servers:

MCP server for Google Docs — create, read, edit, format, and manage documents through 26 tools via the Model Context Protocol.

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.

Enables users to screen pasted job offers against a personal skills profile kept in local Markdown files, returning a fit verdict with evidence and deal-breakers while tallying missing skills into a recurring gap radar. It also tracks each offer through its application lifecycle and renders a one-page CV tailored to a specific offer from existing CV data, without scraping, network access, or its own AI.

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

Exposes Google Keep notes as tools so MCP clients like Claude Code or Claude Desktop can read and manage them, connecting through the unofficial gkeepapi client since Keep has no official public API.

An MCP server that enables Claude to interact with Google NotebookLM via browser automation, allowing management of notebooks, adding sources, and querying information.

Enables Google Drive, Sheets, and Docs operations; ATS job-board reads and liveness checks; local notes and HTTP connectors through MCP.

Enables Claude or Cursor to read Google Keep notes and checklists, add items, and check or uncheck them via MCP over HTTP with OAuth.

MCP server that gives Claude Code and other MCP clients persistent memory using plain Markdown notes stored on your disk and optionally synced to cloud storage (iCloud, OneDrive, Google Drive, Dropbox).

Connects AI coding agents to Google NotebookLM, enabling querying notebooks, adding sources, and generating artifacts like reports, podcasts, and slide decks.

Enables interaction with Google NotebookLM through natural language to create and manage notebooks, add sources from URLs/YouTube/Google Drive, perform AI-powered research and analysis, generate audio podcasts, videos, infographics, and slide decks from notebook content.

MCP server for Google Keep that enables managing notes, checklists, and labels through tools like search, create, update, and delete.

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

MCP server for Google NotebookLM enabling notebook, source, and audio overview management with hybrid metadata storage.

A pure-TypeScript MCP server for Google NotebookLM using the batchexecute RPC protocol. Enables management of notebooks, sources, chat, and artifact generation with no Python dependencies.

A Model Context Protocol server that connects Google Keep to Claude, enabling full note management capabilities including search, CRUD, checklists, labels, and more.

Enables interaction with Google Keep notes through an MCP server, allowing users to search, create, update, and delete notes via natural language commands.

Enables MCP-speaking agents to search, read and write cards in a folder-based knowledge store and to capture decisions as proposals awaiting the owner's confirmation, with a small CLI for systems that can only run commands.

This MCP server enables AI collaborators to read and write to a git-backed Obsidian vault with transactional integrity, ensuring every write is a validated, attributed commit pushed to the remote.

Secure MCP server for querying Google NotebookLM notebooks. Enables AI assistants to list notebooks, read sources, and ask the NotebookLM AI questions about your sources.

Provides AI agents with persistent memory via Google NotebookLM, enabling them to save, search, and retrieve dated sources and query notebooks with citations using a one-time popup login and keepalive session management.

Enables fetching content from InterviewReady (blogs, resources, course materials) and managing notes and Google reminders for classes.

Enables users to create, search, and retrieve Google Keep notes via natural language commands.

Empowers AI assistants with real-world capabilities including note management, Gmail integration, Google Calendar and Tasks management, and Git repository operations through the Model Context Protocol.

Enables AI assistants to search, read, and query handwritten notes backed up as PDFs on Google Drive via MCP, with OAuth authentication, multi-user support, and usage metering.

Enables AI coding agents to query and manage private Google NotebookLM notebooks with grounded citations, source and note operations, and secure credential containment.

Enables appending content to Google Docs and creating Gmail drafts via a lightweight MCP-style server with OAuth authentication and human-in-the-loop approval.

Enables AI agents to search and modify a personal knowledge base through OAuth-secured MCP tools, covering Obsidian vaults and Google Drive mirrors with semantic search, note read/write operations, audit logging, and eval-gated local classification.

Enables AI assistants to manage Google NotebookLM notebooks, add sources from URLs, YouTube, Drive, or text, query and summarize content, and generate audio overviews, infographics, and slide decks through natural language.

Turns an LLM agent into a personal planner by providing atomic context (roles, goals, decision matrix) and routing classified items to Obsidian, with optional projection to Google Calendar and Tasks.