

MCP Gateway
Overview :
MCP Gateway is an advanced intermediary solution for managing and enhancing Model Context Protocol (MCP) servers. Acting as an intermediary between large language models (LLMs) and other MCP servers, it features configuration management, request-response interception, and a unified interface, protecting sensitive information and ensuring secure and efficient AI services.
Target Users :
This product is suitable for AI developers, data scientists, and security experts, especially enterprises and organizations that need to manage multiple MCPs and ensure information security. MCP Gateway provides a simple and secure AI infrastructure management solution for users through integrated plugins and real-time monitoring features.
Use Cases
Use MCP Gateway to centrally manage multiple models across various AI services.
Protect API keys and user data through sensitive information masking.
Enhance system security and prevent data breaches and attacks by utilizing plugins.
Features
Reads server configurations from the mcp.json file.
Manages the lifecycle of configured MCP servers.
Intercepts requests and responses to sanitize sensitive information.
Provides a unified interface to discover and interact with all proxied MCPs.
Supports multiple plugins to enhance security and functionality.
Real-time monitoring and logging of requests and responses.
Allows developers to create and integrate custom plugins.
Supports automatic masking of sensitive information to protect user data.
How to Use
Install the mcp-gateway package: Use the command `pip install mcp-gateway`.
Create a mcp.json file and configure the MCP server.
Start the MCP Gateway server: Use the command `mcp-gateway --enable-guardrails basic`.
Send requests through MCP Gateway and get responses.
Adjust and integrate more plugins as needed to meet specific requirements.
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