mcp-hub and agent
These are complements: one provides centralized management and monitoring of multiple MCP servers, while the other aggregates them into a unified interface, with the aggregator typically consuming servers managed by the hub.
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 agent
1mcp-app/agent
A unified Model Context Protocol server implementation that aggregates multiple MCP servers into one.
This tool simplifies managing multiple AI assistants and the various Model Context Protocol (MCP) servers they might use. It takes inputs from different MCP servers and provides a single, unified access point for your AI assistants like Cursor, VSCode, or Claude Code. Developers and power users who work with multiple AI coding assistants will find this useful for streamlining their workflow.
Related comparisons
Scores updated daily from GitHub, PyPI, and npm data. How scores work