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MCPProxy.app: Supercharge AI Agents, Safely

Created By
Algis Dumbris7 months ago
Why MCPProxy? - Scale beyond API limits – Federate hundreds of MCP servers while bypassing Cursor's 40-tool limit and OpenAI's 128-function cap. - Advanced security protection – Automatic quarantine blocks Tool Poisoning Attacks until you manually approve new servers. Docs - https://mcpproxy.app
Content

MCPProxy.app is the Open Source Smart Proxy for AI Agents Works with any MCP-compatible client: Cursor IDE, Claude Desktop, ChatGPT, and more.

A desktop application that extends AI-agent productivity by connecting hundreds of MCP servers with intelligent tool discovery, token optimization, and advanced security quarantine protection.

✨ Works offline • 🖥️ User-friendly desktop app • 🔓 100% Open Source

System Tray - Upstream Servers      System Tray - Quarantine Management
System Tray - Upstream Servers          System Tray - Quarantine Management

Quick Start

  1. Install DMG Download and install the DMG package above. Launch MCPProxy from Launchpad or Applications folder—it will run quietly in your system tray.
  2. Add into your client (Cursor IDE, Claude Desktop, ...)

One-click install into Cursor IDE

Install in Cursor IDE

How MCPProxy Works

MCPProxy acts as an intelligent federating gateway, consolidating multiple MCP servers behind a single smart endpoint with built-in security and optimization.

1 Server Discovery MCPProxy automatically discovers and indexes tools from all configured upstream MCP servers, building a comprehensive searchable catalog.

2 Intelligent Search When AI agents need tools, they query MCPProxy with natural language. BM25 search returns the most relevant tools from the entire catalog.

3 Security Review New servers are automatically quarantined for security analysis. Tool Poisoning Attack detection prevents malicious code execution.

4 Optimized Execution Tool calls are routed to appropriate upstream servers with response truncation and caching to prevent LLM context bloat.

Server Config

{
  "mcpServers": {
    "mcpproxy_app": {
      "type": "http",
      "url": "http://localhost:8080/mcp/"
    }
  }
}
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