"A collaborative workspace and documentation tool" matching MCP servers:

Production-ready MCP server for Google Workspace providing broad coverage across Gmail, Drive, Calendar, Docs, Sheets, and more, with safe-by-default write operations and markdown-to-Google-Docs support.

MCP server integrating multiple Google Workspace services including Gmail, Calendar, Drive, Sheets, Docs, Tasks, People, Forms, and Slides, enabling users to manage emails, events, files, documents, and more through natural language.

Provides AI assistants with direct access to the complete Godot Engine documentation, including classes, tutorials, and features. It enables developers to retrieve and analyze official documentation through natural language interfaces using the Model Context Protocol.

Spawn parallel autonomous AI agent sessions from a single MCP client. Each agent gets its own workspace, tools, and execution context.

A multi-domain MCP server that exposes a small, stable surface of three tools (list_domains, list_domain_tools, call_domain_tool) to gate access to various tool domains like Plane and BloodBank, preventing agent schema overload.

An MCP server that bridges multiple LLMs (OpenAI-compatible APIs and CLI coding agents) for collaborative debugging and diverse AI perspectives.

Enables LLM clients to inspect local development environment, including Docker container health, pnpm workspace integrity, and stuck process diagnosis.

MCP zero-trust gateway that sits in front of every internal MCP server, detects tool-poisoning/metadata drift in real time, and maintains a cryptographic provenance ledger of every agent tool call.

An MCP server framework featuring dynamic tool loading and a modular one-tool-per-file architecture for rapid development. It supports both Stdio and HTTP transport modes, offering automated test generation and centralized configuration management.

A Model Context Protocol server framework featuring dynamic tool loading and automatic tool discovery from a dedicated directory. It leverages FastMCP to provide a robust environment for building, configuring, and testing individual Python-based tools.

A Model Context Protocol (MCP) server that connects AI agents to Google Workspace (Gmail, Calendar, Drive, Docs, Sheets, and Slides).

MCP server that parses web pages into clean markdown via Crawl4AI's HTTP API, exposing parse_page and health-check tools with configurable proxy and timeout.

Query Microsoft Patch Tuesday security updates from the official MSRC API — monthly rollups, CVE/KB lookups, supersedence chains, and urgency-ranked triage enriched with EPSS scores and the CISA KEV catalog. No API keys required.

MCP server for business-day arithmetic with country-aware holiday calendars. It offers tools to check, calculate, and list business days and holidays for over 60 countries.

Enables Claude to plan trips by performing live searches against Google Flights, hotels, vacation rentals, activities, and events, plus weather and currency conversion.

Query PainSpotter to discover validated business opportunities and trending pain points mined from Reddit, Hacker News, and Product Hunt.

A personal memory engine and MCP server that stores durable facts in markdown files managed via git, enabling hybrid search (lexical + semantic) through an MCP interface for persistent context across LLM sessions.

Converts AI Skills (following Claude Skills format) into MCP server resources, enabling LLM applications to discover, access, and utilize self-contained skill directories through the Model Context Protocol. Provides tools to list available skills, retrieve skill details and content, and read supporting files with security protections.

Connects AI agents to ROS 2 robots via rosbridge, enabling observation, inspection, and control of robot topics, services, and actions through natural language.

Enables AI assistants to search and filter Azure platform updates, including previews, general availability, and retirements, through natural language queries.