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MCP Directory

Model Context Protocol Directory

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The Model Context Protocol (MCP) is an open standard for AI model communication.
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MCP Clients

Browse and discover Model Context Protocol compatible clients.

Documentation

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  • All466
  • AI346
  • Developer Tools92
  • Communication14
  • Productivity8
  • System Tools4
  • Search & Knowledge2

Productivity clients

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  • n8n-nodes-mcp

    3006

    This n8n community node enables interaction with Model Context Protocol (MCP) servers within n8n workflows, allowing access to resources, tool execution, and prompt utilization for AI model integrations.

    TypeScript

  • AIaW

    1801

    This repository offers AI as Workspace, a versatile AI client supporting multiple platforms and providers, featuring workspaces, local data storage with cloud sync, and a user-friendly conversation interface for enhanced AI interaction.

    Vue

  • opendia

    1799

    No need to switch browsers, just use Dia on Chrome or on Arc.

    JavaScript

  • flock

    1088

    Flock is a flexible low-code platform for orchestrating collaborative agents, offering features like MCP tools support, parameter extraction, subgraph nodes, human-in-the-loop interactions, and multimodal chat capabilities. Flock is a flexible

    TypeScript

  • notion_mcp

    207

    This repository provides a Model Context Protocol (MCP) server that integrates with the Notion API to manage a personal todo list using Claude, tailored for a minimalist Notion database structure.

    Python

  • office-editor-mcp

    86

    This repository hosts an MCP server designed to provide comprehensive Microsoft Office document processing capabilities, enabling users to create, edit, and manage Word, Excel, and PowerPoint files seamlessly within MCP client environments.

    Python

  • tusk

    1

    A concurrent-safe task management tool with built-in MCP server, written in Go.

    Go

  • witsy

    0

    Witsy is a desktop AI assistant that supports various LLM providers like OpenAI, Ollama, Anthropic, and more, allowing users to utilize chat completion, vision models, and text-to-image/video generation with their

    TypeScript