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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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  • qclaw-wechat-client

    1

    Provide a TypeScript client that reverse-engineers QClaw's WeChat OAuth2 login and jprx gateway protocol for seamless Tencent API access.

    TypeScript

  • 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-compaction-viewer

    1

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

    Python

  • devtap

    1

    🚀 Streamline build and dev output by feeding logs directly into AI coding sessions using Model Context Protocol for seamless automation.

    Go

  • 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

  • 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

  • ollama2api

    1

    Aggregate multiple Ollama instances into a unified OpenAI-compatible API with load balancing, health checks, auto discovery, and web management.

    Python

  • 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

  • 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

  • binary-ninja-headless-mcp

    1

    Enable headless Binary Ninja reverse engineering via MCP for AI agents to perform deep analysis, patching, and type management without a GUI.

    Python

  • agent-devtools

    1

    Debug AI agents in real time with Chrome DevTools to pause, inspect, and step through execution for faster issue resolution and control.

    Python

  • git-mcp-rs

    1

    🔍 Enable real-time exploration of GitHub repositories with this high-performance Model Context Protocol (MCP) server built in Rust.

    Rust

  • mcp-bundle

    0

    Generate MCPB packages from MCP server projects using a Claude Code plugin and GitHub Actions workflow for streamlined server packaging.

    Shell

  • gemini-mac-pilot

    0

    Control your Mac with Gemini voice commands to manage apps, files, web, Gmail, Calendar, and Google Workspace tools

    Python

  • mcp-foundry

    0

    Connect AI agents to financial markets using a universal trading interface with an open standard for seamless integration.

    Python
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