@vivitrip
基本情報
mcp-server-demo
ツール一覧はまだありません
この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。
ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。
MCP Server Demo工程 is a Spring AI-based MCP server that enables large language models to invoke Spark tasks via tools. It integrates with Alibaba Cloud Bailian's Qwen model through the Cline plugin in VS Code, providing a local server that accepts model requests, runs Spark jobs, and returns execution results. It is suitable for developers who want to experiment with MCP workflows without owning dedicated cloud server resources.
Start the MCP server by running the run-sse-server.sh script. Configure Cline to use the Bailian Qwen model and point the MCP server configuration to the local server address. Once set up, ask the model a question like "Please use MCP Server to start a Spark task" in Cline. The model will request to call the MCP server; you can either approve each call or enable auto-approval. The server executes the Spark task and returns the result to the model, which then relays it to you.
Add a new MCP server entry in Cline's MCP configuration, set the transport to SSE, and point the URL to `http://localhost:8080` (or the custom port). Then start the server using the provided `run-sse-server.sh` script.
You need Java and the Spring AI framework. The server runs locally, and the client requires VS Code with the Cline extension and a valid Alibaba Cloud Bailian API token (trial or paid).
Data stays local. The MCP server runs on your machine, and the Spark task executes locally. Only model queries and tool call metadata are exchanged with the Bailian API.
The README specifically uses Bailian's Qwen model, but the architecture is model-agnostic. You can configure Cline to use any model provider that supports tool calling and SSE-based MCP servers.
Yes. The README notes that if you prefer not to use Spring AI, you can implement the same functionality directly using the MCP SDK.
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