What runtime dependencies does Spring AI MCP Batch Job Server require?
Java 21+, a running PostgreSQL instance, and an OpenAI API key set as the `OPENAI_API_KEY` environment variable.
@iAMSagar44
基本情報
A Spring Boot Model Context Protocol (MCP) server that provides batch processing tools for financial transactions.
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A Spring Boot Model Context Protocol (MCP) server that exposes batch processing tools for financial transactions. It integrates Spring AI’s MCP Server Boot Starter (STDIO transport) with Spring Batch and OpenAI to read CSV files, categorize transactions by type, and persist results in PostgreSQL. Designed for AI assistant workflows (e.g., Claude Desktop) that need to launch, monitor, or retry batch jobs.
Build the project with ./mvnw clean install to produce a JAR. Then configure an MCP client (e.g., Claude Desktop) with a JSON entry specifying the java command, the JAR path, and the OPENAI_API_KEY environment variable. No web server is started; the client launches the server automatically over STDIO.
startJob, restartJob, getJobStatusJava 21+, a running PostgreSQL instance, and an OpenAI API key set as the `OPENAI_API_KEY` environment variable.
It moves the input CSV to a safe location, reads and categorizes transactions using AI, writes data to PostgreSQL tables, then cleans up temporary files.
STDIO transport only. The server has `spring.main.web-application-type=none` and is intended to be launched automatically by an MCP client.
In a PostgreSQL database with tables: `financial_transactions`, `credit_transactions`, `credit_card_payments`, and `categories`. Spring Batch meta‑data tables are also created automatically.
Add a JSON entry under `mcpServers` with the `java` command, the JAR path, and the `OPENAI_API_KEY` environment variable as shown in the README.
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