MCP Without the Boilerplate: Solon AI's Annotation-Driven Server and Self-Healing Client

Описание и применение

С помощью аннотаций Solon AI можно быстро создать сервер MCP и подключить к нему клиент, автоматически обнаруживающий и вызывающий инструменты LLM без ручного кода и с встроенной самовосстановительной логикой.

Задача

Integrating LLM tools into Java applications often requires manual protocol code, hard‑coded function calls, and complex transport wiring.

Результат

The annotation‑driven approach eliminates boilerplate, reduces maintenance, and provides robust, self‑healing connections between Java code and LLM tools.

Рабочий процесс

• 1. Annotate a class with @McpServerEndpoint and methods with @ToolMapping, @ResourceMapping, or @PromptMapping.
• 2. Build the server; McpPlugin scans annotations and registers providers automatically.
• 3. In the client, create an McpClientProvider with the server URL and add it to ChatModel via defaultToolAdd().
• 4. Call chatModel.prompt("…").call() to let the model select and invoke remote tools.
• 5. Optionally customize channel, heartbeat, or cache settings via the builder or options API.
• 6. Rely on built‑in retry logic for transient transport errors and heartbeats for connection health.

Доказательства

The provider is lazy: the underlying McpAsyncClient is created on first use, guarded by a lock.

Источник

Network transport code fails in boring, repetitive ways. McpClientProvider centralizes the retry.

Источник