mcphub and metamcp
Both are MCP aggregation/gateway solutions that compete for the same use case—centralizing multiple MCP servers behind a single endpoint—though metamcp emphasizes Docker-based deployment while mcphub focuses on dynamic routing strategies.
About mcphub
samanhappy/mcphub
A unified hub for centrally managing and dynamically orchestrating multiple MCP servers/APIs into separate endpoints with flexible routing strategies
This is a tool for developers who manage multiple AI models or services that adhere to the Model Context Protocol (MCP). It helps you centralize the management of these services, routing incoming requests to the correct model and scaling them efficiently. Developers use it to create a single point of access for their AI clients, like chatbots or intelligent assistants, consolidating various AI tools behind flexible HTTP endpoints.
About metamcp
metatool-ai/metamcp
MCP Aggregator, Orchestrator, Middleware, Gateway in one docker
This tool helps developers consolidate multiple MCP (Meta-Communication Protocol) servers into a single, unified gateway. You input various individual MCP server configurations, and it outputs a single, aggregated MCP endpoint that can be easily connected to any MCP client. This is ideal for developers who manage multiple AI tools or services and need to streamline their access and management.
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