Enables AI assistants to retrieve and manage personal macOS data such as calendar events, contacts, messages, reminders, location, maps, and weather through a local MCP server, allowing personalized AI interactions without sending data off‑device.

Provides read‑only access to MySQL databases for large language models, allowing schema inspection and safe execution of SQL queries.

Enables AI agents to control web browsers via the browser-use protocol, supporting both SSE and stdio transports, with VNC streaming and asynchronous task execution.

Create, read, and manipulate Microsoft Word documents via a standardized interface for AI assistants.

Provides an autonomous debugging copilot that assists AI coding agents by launching automated investigations, tracking session progress, and offering guidance through configurable memory‑bank logs.

Provides a Model Context Protocol server that enables AI assistants to send, read, search, and organize Gmail messages, supporting attachments, label and filter management, and automatic OAuth2 authentication.

Enables Claude AI to control QGIS through a socket‑based server, allowing direct project creation, layer manipulation, processing execution, and arbitrary Python code execution within the desktop GIS environment.

Provides a project‑specific memory bank that stores decisions, progress, architecture, and custom data, exposing a structured knowledge graph via MCP for AI assistants and IDE tools.

Manage Docker containers, images, networks, and volumes using natural language commands via an MCP server.

Provides Google Calendar integration for AI assistants, enabling event listing, creation, updating, deletion, free/busy queries, recurring event handling, and smart scheduling via natural language.

Fetches web content and returns it in HTML, JSON, plain‑text, or Markdown formats, optionally applying custom request headers.

Provides a client SDK for building AI‑native applications on Baidu Cloud, enabling model calls, component orchestration, knowledge‑base management, workflow composition, monitoring, and flexible deployment options.

Control Gmail, Calendar, Drive, Docs, Sheets, Slides, Chat, Forms, Tasks, Search and other Google Workspace services through natural‑language prompts and AI assistants, all via a single MCP server backend.

Provides a powerful Model Context Protocol interface for Slack workspaces, enabling message retrieval, search, and optional posting via Stdio or SSE transports without requiring bot permissions.

Enables AI assistants to run read‑only ClickHouse queries, list databases and tables, and execute embedded chDB queries through an MCP interface.

Provides a native Go‑based implementation that exposes Kubernetes and OpenShift resources via the Model Context Protocol, enabling AI agents and other clients to perform CRUD operations, pod management, Helm actions, and more without external CLI tools.

Provides secure, programmatic access to the local filesystem via the Model Context Protocol, enabling read, write, copy, move, delete, and search operations with built‑in path validation and MIME type detection.

Enables AI assistants to read, create, edit, and manage notes and tags within an Obsidian vault, providing searchable, writable access to vault contents.

A versatile tool that enables interactive data exploration through prompts, CSV loading, and script execution.

Control Spotify playback, search the catalog, and manage playlists directly from LLM interactions.

Aggregates multiple MCP resource servers and serves them via a single HTTP endpoint, supporting SSE and HTTP streaming transports.

Manage coding preferences by storing, retrieving, and semantically searching code snippets, patterns, and documentation through an MCP‑based SSE server powered by Mem0.

Provides a Model Context Protocol server that lets AI models execute commands, read output, and send control characters in the current iTerm session, enabling seamless REPL and CLI assistance.

Provides a semantic engine that lets MCP clients and AI agents query enterprise data with contextual understanding, precise calculations, and built‑in governance.

Provides a Model Context Protocol server that exposes Home Assistant functionality through a comprehensive REST and SSE API, enabling natural‑language control of smart‑home devices.

Enables AI assistants to perform deep, semantic code search, repository analysis, and package discovery across public and private GitHub repositories, delivering structured, AI‑optimized context for development workflows.

Convert documents between markdown, HTML, PDF, DOCX, RST, LaTeX, EPUB, IPYNB, ODT, and plain text using Pandoc through an MCP server, preserving formatting and structure.

Enables AI agents to fully control remote macOS machines via screen sharing, using a lightweight Docker‑based MCP server that requires no additional API keys or software installation on the target Mac.