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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.

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AI clients

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  • google-suite-mcp

    1

    Google Workspace MCP server for Claude Desktop, Cursor, Windsurf, VS Code, Gemini CLI, and any MCP client. 82 tools across Sheets, Docs, Drive, and Apps Script. Full read/write. 30/30 live-API tests. MIT.

    TypeScript

  • claude-content-engine

    1

    Build Claude Code content workflows with 8 skills, persistent memory, and a quality gate for cleaner drafts and better SEO.

    Python

  • claude-compaction-viewer

    1

    View and analyze Claude Code conversation history and compaction events with a TUI and CLI tool for clear session insights.

    Python

  • openS-Plan-R

    1

    Manage and install MCP servers across multiple AI clients from a single CLI for seamless Model Context Protocol integration.

    TypeScript

  • nse-bse-mcp

    1

    Serve real-time and historical Indian stock data from NSE and BSE using Model Context Protocol for easy market analysis without API keys.

    Python

  • rss-feeds-mcp

    1

    Enable AI assistants to fetch, filter, and search RSS feeds instantly using a zero-configuration Model Context Protocol server.

    JavaScript

  • 0nMCP

    1

    🤖 Orchestrate AI across apps with a universal API that simplifies integration and automates tasks using Model Context Protocol (MCP) compatibility.

    JavaScript

  • mcp-gateway

    1

    Manage and debug local Model Context Protocol servers with an easy desktop app that auto-discovers and monitors MCP instances.

    TypeScript

  • create-agent-config

    1

    Generate configuration files for AI coding agents by detecting your stack and applying community rules for better session context.

    TypeScript

  • ai-orchestrator

    1

    Manage and coordinate multiple AI CLI instances with real-time monitoring, hierarchical control, and multi-agent verification for large-scale automation.

    TypeScript

  • OmniXy

    1

    OmniXy is a universal Model Context Protocol client in Python, enabling seamless integration with any LLM. It supports structured reasoning, robust prompt management, and adheres to the MCP specification for consistency.

    Python

  • cua_desktop_operator_skill

    1

    Deliver a local, Windows-based execution layer for MCP-capable agents with zero cloud dependency and broad agent support.

    Python

  • reddit-mcp-server

    1

    Provide AI assistants access to Reddit data using a Model Context Protocol server without requiring API keys.

    Python

  • multi-agent-orchestrator

    1

    Orchestrate multi-agent workflows with LangGraph for Python 3.11+, with a lightweight, tested framework for routing tasks and agents

    Python

  • obsidian-web-mcp

    1

    Access and edit your Obsidian vault remotely with a secure HTTPS MCP server, OAuth 2.0, and full-text search

    Python
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