nfrx MCP Server

Example Use Cases

• 1

  Securely expose private LLM workers and AI tools through a public API without inbound connections.

• 2

  Relay Model Context Protocol (MCP) calls between clients and private MCP servers.

• 3

  Scalable, load-balanced access to heterogeneous AI services behind NAT/firewalls.

Description

nfrx enables secure exposure of private AI services such as LLM runtimes, tools, and RAG processes through a public OpenAI-compatible API without exposing local machines. It supports multiple heterogeneous machines, load balancing, and secure client authentication. The server also relays Model Context Protocol (MCP) calls, providing a scalable and flexible architecture for integrating private AI workers with public clients.