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Hub Server

2

Aggregates and manages connections to multiple Model Context Protocol (MCP) servers, enabling unified access and execution of their diverse toolsets.

About

This server acts as a central hub, connecting to and managing a variety of other Model Context Protocol (MCP) servers. It consolidates their available tools, allowing users to list and execute them through a single interface. This is particularly beneficial for circumventing limitations like Cursor's 40-tool MCP limit, and also improves AI assistant performance by selectively exposing relevant tools and hiding less frequently used ones, thereby reducing cognitive load and potential mistakes.

Key Features

  • List available tools across all connected servers
  • Call specific tools on any connected server with arguments
  • Bypass external tool count limitations (e.g., Cursor's 40-tool limit)
  • Enhance AI agent efficiency by curating accessible tool sets
  • 2 GitHub stars
  • Automatically connect to configured MCP servers

Use Cases

  • Consolidating access to a large number of AI tools through a single entry point
  • Overcoming AI assistant tool count limitations for enhanced capabilities
  • Improving AI agent performance by presenting curated tool selections
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