A unified Model Context Protocol Gateway that bridges LLM interfaces with various tools and services, providing OpenAI API compatibility and supporting both synchronous and asynchronous tool execution.
A powerful gateway for the Model Context Protocol (MCP) that unifies AI toolchains by federating multiple MCP servers, wrapping REST APIs as MCP tools, and supporting multiple transport methods with an admin dashboard.
A unified Model Context Protocol server with pluggable tools and independent endpoints, allowing clients to selectively add specific tools like calculator, echo, and time utilities with fault isolation and secure authentication.
A multiplexing gateway that aggregates multiple MCP servers into a single port, significantly reducing context token usage through a Meta-MCP discovery system. It enables dynamic tool discovery and invocation across various transport protocols including stdio, HTTP, and SSE.
Lightweight Model Context Protocol gateway that exposes one entry point for multiple downstream MCP services, enabling efficient tool discovery and routing.
A Model Context Protocol server that connects multiple AI models into a single workflow, enabling multi-model orchestration, conversation continuity, and tools like code review, planning, and CLI-to-CLI bridging.