Aggregates multiple shared MCP servers into a single HTTP gateway, providing a unified, observable, and reusable MCP access layer for multiple AI clients like Codex, OpenCode, and OpenClaw. It centralizes configuration management, logging, health checks, and circuit breaking to simplify multi-client MCP deployments.
A dynamic MCP server orchestrator and multiplexer that routes requests to multiple remote and local sub-MCP servers, with hot-reload config, SSE/Streamable HTTP support, and a summary endpoint to reduce context token usage.
Aggregates multiple MCP servers into a single endpoint, enabling LLM clients to access tools, resources, and prompts from various backends through one connection.
Enables AI harnesses to connect to a single MCP endpoint that routes to multiple downstream MCP servers, discovering and executing capabilities on demand while keeping tool schemas out of context.