Unify multiple Model Context Protocol servers behind a single endpoint, enhancing resource efficiency and control.
Sponsored
Designed to streamline the management of numerous Model Context Protocol (MCP) servers, this gateway consolidates them into a single, efficient access point. It tackles issues like duplicated configurations and excessive resource consumption by implementing lazy loading and automatic cleanup for server subprocesses. Developers can also seamlessly integrate custom Python tools directly within the gateway, establishing a centralized platform for orchestrating AI-driven workflows and offering enhanced flexibility through role-based access controls.
Key Features
01In-process Python `@tool` plugins for custom functionality
02Automatic schema generation from Python type hints
03Unify multiple MCP servers behind a single endpoint
04Lazy loading and auto-cleanup of server subprocesses
05Role-based filtering for granular tool access
060 GitHub stars
Use Cases
01Centralize access to multiple MCP servers for AI clients like Claude Code
02Integrate custom Python tools with zero overhead into an MCP environment
03Manage and secure tool access with granular role-based permissions for different users or clients
