Aggregates multiple MCP servers into a single endpoint, enabling LLM clients to access tools, resources, and prompts from various backends through one connection.
An MCP server that functions as an intelligent gateway for multiple LLM backends including OpenAI, Claude, and Ollama. It supports automatic provider fallback, streaming responses via Server-Sent Events, and real-time monitoring for robust AI integration.
Centralizes management and routing of multiple MCP servers, exposing them to AI clients via HTTP/SSE endpoints with configurable visibility, sharing, and smart routing.
An MCP server that routes LLM requests across multiple providers and orchestrates other MCP servers, with a focus on local privacy for embeddings and memory.
A powerful orchestration layer for Model Context Protocol (MCP) servers that enables AI assistants to dynamically discover, inspect, and interact with multiple MCP servers through a unified interface.
MCP Hub aggregates and proxies multiple Model Context Protocol servers into a unified Streamable HTTP interface. It allows users to combine diverse stdio, SSE, and HTTP-based servers while providing tool namespacing, health monitoring, and secure authentication.