Mcpproxy Go, developed by Smart MCP Proxy, is a free server tool designed for the mcp platform. It functions as an intelligent middleware, connecting AI clients to Model Context Protocol (MCP) servers and external tool servers. This program acts as an aggregation layer, enhancing secure tool discovery, invocation, and scaling for AI agent interactions. It supports various transport protocols and offers unified authentication across multiple platforms, making it a central component for managing AI agent access to diverse internal APIs, databases, and SaaS platforms.

What does Mcpproxy Go connect to?

Mcpproxy Go connects to Model Context Protocol (MCP) servers, serving as an MCP proxy. It operates as intelligent middleware or an aggregation layer between AI clients and various external tool servers. This setup allows it to manage and optimize interactions, ensuring AI agents can securely access and utilize tools. Its role is to bridge communication and provide a controlled environment for tool execution and data exchange with remote services.

Core features and tools

Mcpproxy Go exposes callable tools including retrieve_tools for dynamic tool discovery and call_tool for executing chosen tools. It also provides an upstream_servers management tool with operations such as list, add, and remove. Security analysis features include upstream_servers list_quarantined and upstream_servers inspect_quarantined. A tail_log tool method assists with debugging. Command-line tools like "mcpproxy serve" start the HTTP server, and "mcpproxy trust-cert" handles HTTPS setup.

Who is it for?

Mcpproxy Go is for developers and enterprises using AI agents, especially those needing to securely scale AI agent interactions with numerous internal APIs, databases, and SaaS platforms. It addresses needs for secure tool discovery, invocation, and efficient management of multiple MCP servers. Confirmed compatible AI clients include Claude Desktop, Cursor, VS Code, and Goose. Skip this if your AI clients do not utilize the Model Context Protocol.

How to get started

Access is granted through a standard OAuth authorization flow. It supports stdio, SSE, and streamable HTTP transport protocols, enabling communication between varied client and server types.

Use cases

• Secure Tool Discovery and Invocation: AI agents discover and call tools, with Mcpproxy Go enforcing security quarantine, scanning arguments and responses for sensitive data, and blocking Tool Poisoning Attacks (TPAs) until human approval.
• Scaling and Token Optimization: It federates hundreds of MCP servers, bypassing API limits and enabling token savings and accelerated responses by presenting a single retrieve_tools function to agents.
• Cross-Platform Operation with Unified Authentication: Provides native binaries for macOS, Windows, and Linux with a system-tray UI, centrally managing OAuth access tokens for multiple AI clients after a single login, and supporting offline functionality.

Mcpproxy Go serves as an essential middleware for AI agents, connecting them to MCP servers and managing tool interactions. It offers secure, scalable, and cross-platform capabilities, including unified OAuth authentication and transport bridging. Its focus on security, token optimization, and tool management makes it a valuable asset for AI-driven workflows.