MCP Hub – A Unified Gateway for Multi‑Server AI Tooling

MCP Hub addresses a common pain point in modern AI development: the fragmentation of tool access across many independent MCP servers. Each server exposes its own set of tools, prompts, and sampling strategies, but consuming them from a single AI assistant often requires juggling multiple endpoints, credentials, and custom adapters. MCP Hub solves this by acting as a centralized gateway that aggregates any number of underlying MCP servers and presents them through a single, consistent HTTP or Server‑Sent Events (SSE) interface. Developers can now expose complex tool ecosystems to assistants like Claude without rewriting integration logic for every new server.

The core of MCP Hub is a lightweight, modular service that manages group‑based routing. By assigning tools and servers to logical groups (e.g., “finance”, “research”, or “dev‑ops”), the hub automatically filters available tools, applies group‑specific validation keys, and forwards requests to the appropriate underlying server. This grouping mechanism simplifies security—each group can enforce its own API key or JWT policy—while keeping the public endpoint uniform. The hub also offers a standalone CLI server that communicates via stdin/stdout, making it trivial to embed the hub in headless environments or integrate with desktop clients that expect a plain MCP stream.

Key capabilities include:

• Multi‑server aggregation: Connect dozens of MCP backends, each potentially running different versions or custom tool sets.
• Streamable endpoints: Choose between standard HTTP responses for quick calls or SSE streams for continuous, event‑driven tool execution.
• Tool filtering & screening: Dynamically expose only the tools relevant to a particular user or workflow, reducing clutter and improving safety.
• Centralized management APIs: RESTful endpoints for creating groups, registering servers, and configuring tool permissions—all consumable by automation scripts or CI/CD pipelines.
• Optional Vue.js dashboard: A ready‑made web interface that offers real‑time monitoring, authentication, and configuration—all built on top of the same core logic.

In practice, MCP Hub shines in scenarios such as enterprise AI platforms where multiple teams maintain their own toolchains but need a unified assistant interface, or in research labs that aggregate experimental MCP servers for rapid prototyping. By abstracting away the heterogeneity of underlying services, developers can focus on building higher‑level AI workflows—combining prompts, chaining tools, and orchestrating responses—while MCP Hub guarantees consistent, secure access to the full breadth of available capabilities.