Hoa MCP Server

Overview of the HOA MCP Server

The HOA MCP Server is a lightweight, OpenAI‑API‑compatible gateway that exposes the full Model Context Protocol (MCP) to external tools and data sources. It solves a common pain point for developers building AI‑powered applications: the need to orchestrate multiple external services—such as databases, APIs, or custom logic—within a single conversational context. By translating MCP calls into standard HTTP requests, the server allows an AI assistant to invoke any registered tool or resource without leaving its native environment. This centralizes control, simplifies authentication, and provides a uniform interface for both developers and AI agents.

At its core, the server implements two primary MCP endpoints: and . The former returns a catalog of available tools, each described with its name, description, and expected input schema. The latter accepts a JSON‑RPC payload that specifies the target tool and passes along any necessary parameters. In response, it streams results back to the client using either JSON or Server‑Sent Events (SSE), ensuring that long‑running operations can be consumed incrementally. This design makes it possible for an AI assistant to fetch data, perform calculations, or trigger workflows in real time while maintaining a coherent dialogue history.

Key features include:

• OpenAI‑API Compatibility – The server can be added to platforms like Dify as a standard model provider, enabling seamless integration with existing AI workflows.
• SSE Support – Streaming responses allow agents to handle large or streaming outputs without blocking the user interface.
• Modular Tool Registry – Developers can register custom tools or resources, each with its own schema, making the system extensible.
• Robust Error Handling – Clear status codes (e.g., 400, 406) and descriptive messages help diagnose integration issues quickly.

Typical use cases span a wide range of scenarios. In e‑commerce, an AI assistant could query inventory systems or process orders via the server’s tool calls. In customer support, it might pull ticket data from a help desk API and update tickets on the fly. For data analysis, an agent could run analytical queries against a database and stream results back to the user. Because the server decouples tool execution from the AI model, developers can swap or upgrade underlying services without retraining the assistant.

The HOA MCP Server stands out by offering a minimal, production‑ready implementation that focuses on reliability and ease of integration. Its explicit support for SSE and a clean JSON‑RPC interface make it an attractive choice for developers who need to embed complex toolchains into conversational AI without wrestling with low‑level networking details.