mcp-hub and metamcp
One tool serves as a comprehensive middleware and gateway for Model Context Protocol (MCP) interactions, while the other is a centralized manager for MCP servers, making them complementary tools that can be used together to manage and orchestrate an MCP ecosystem.
About mcp-hub
ravitemer/mcp-hub
A centralized manager for Model Context Protocol (MCP) servers with dynamic server management and monitoring
This project helps developers manage multiple Model Context Protocol (MCP) servers through a single unified interface. It takes in configurations for various MCP servers, whether local or remote, and provides a single endpoint for all MCP clients to connect to, simplifying how AI-powered tools and resources are accessed. It's intended for developers building or integrating AI applications that utilize the MCP specification.
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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