"Multi-user production MCP server for Google Calendar and Sheets" matching MCP servers:

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.

A small notes server exposing scoped, cacheable tools over streamable HTTP, with OAuth token introspection and resource-server metadata so callers are identified per user. It enforces per-subject rate limits as tool-level errors and emits OpenTelemetry spans following MCP semantic conventions, and can also run locally over stdio without auth.

Enables AI agents to list, create, update, upsert, and delete calendar events that are stored as notes in a self-hosted Trilium instance, exposing tool names and arguments interchangeable with the Nextcloud Calendar MCP. Events carry stable UIDs, timezone-aware start/end and inclusive all-day semantics, tags, locations and recurrence, and the same notes can be served to standard calendar clients over CalDAV.

An MCP server that lets AI assistants operate multiple Notion accounts simultaneously.

A native Nextcloud app that exposes the instance as an MCP server so Claude and other MCP clients can read, search, and (with admin-granted permissions) edit files, notes, calendars, Deck cards, and Talk conversations. It runs inside Nextcloud with OAuth or app-password sign-in, applying each user's own Nextcloud permissions and admin-controlled per-operation grants.

An MCP server that enables AI agents to search, read, and create notes across six note-taking platforms (Feishu, Obsidian, Notion, Yuque, OneNote, Evernote) through a single unified interface.

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.

MCP server for summarizing content from Baidu Netdisk, local files, Bilibili, X, and web articles, producing Obsidian notes with bidirectional links and Feishu digests.

Persists Claude Code sessions to Notion as team memory, enabling queryable recall of decisions, work state, and project architecture.

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.

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

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

A live MCP server that connects AI assistants to a running Obsidian instance, enabling full app automation including reading notes, clicking UI elements, managing plugins, and executing JavaScript.

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

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

A robust MCP server that transforms OneNote notebooks into an AI-accessible knowledge base for Gemini Spark, enabling natural language queries to list, read, and search notes via Microsoft Graph API.

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

MCP server for Obsidian vaults, optimised for Cursor agents — safe note editing, lean tool surface, direct filesystem access.

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

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.

Connects to Microsoft OneNote desktop via COM API, exposing 27 tools for hierarchy, page CRUD, search, rich content, export, health checks, and more. Enables natural-language control of OneNote without API keys or embedded AI providers.

A secure MCP server that connects ChatGPT/Codex to a local Obsidian Vault, enabling controlled knowledge retrieval, note maintenance, and daily ingest while enforcing path policies, concurrency checks, and audit.

Enables synchronization and management of FoundryVTT journal entries within a Notion Story Bible, including media export and conflict resolution tools. It provides a Model Context Protocol interface for LLMs to preview, apply, and monitor data mirroring between tabletop RPG platforms and digital databases.

Enables MCP clients to search and read recorded meeting data, including transcripts, notes, action items, and participants, from Walkie's local database.

Enables AI agents to read and edit Google Keep notes, lists, labels, collaborators, and media across multiple Google accounts using 24 tools.

Enables an AI assistant to read, search, triage and send mail, manage calendars and browse, write and organize notes by driving the Mail, Calendar and Notes apps already on a Mac, with no dependencies, no network code and only two permission prompts.

A local MCP server that enables AI applications like Claude Desktop to securely access and work with Obsidian vaults, providing capabilities for reading notes, executing templates, and performing semantic searches.

Enables AI agents to store and retrieve project context, bugs, decisions, and session logs by reading and appending markdown files in a local Obsidian vault, without requiring any cloud services.

Enables an AI assistant to browse folders, search and read notes, create and edit them, and move notes between folders within an account. Runs locally through a supported MCP client and supports basic Markdown while refusing edits that would lose existing formatting.

Enables AI agents to search, create, and manage Notion pages and databases through the Model Context Protocol. It features file-based operations and response extraction to optimize token usage and context efficiency.