What data does Spring AI MCP server provide?
It provides release version information and support generation data for Spring projects, sourced from https://api.spring.io.
@martinlippert
基本情報
MCP server implementation that serves up-to-date information about projects from api.spring.io
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Spring AI MCP server is an MCP (Model Context Protocol) server built with Spring AI MCP that retrieves data for Spring project releases and support generations from https://api.spring.io. It is intended for developers and AI assistants needing structured information about Spring project versions and their support lifecycles.
Build the project with ./mvnw clean package to produce a JAR. Then configure your MCP client (e.g., Cline in VS Code) to launch the server using java -jar <path-to-project>/target/spring-io-api-mcp-0.0.2-SNAPSHOT.jar. After configuration, the server responds to natural‑language queries about Spring project releases and support ranges.
It provides release version information and support generation data for Spring projects, sourced from https://api.spring.io.
Add a JSON entry to your MCP server configuration with the command `java -jar <path-to-project>/target/spring-io-api-mcp-0.0.2-SNAPSHOT.jar`. An example configuration for Cline under VSCode is shown in the README.
You can ask about released versions of a Spring project, the latest release, support end dates for the latest version or a specific version (e.g., 2.7.x), and upcoming release availability.
The server requires Java and the Spring AI MCP framework. Building it requires Maven (`./mvnw`).
The README does not specify any authentication mechanism or transport details. It appears to communicate via standard I/O as typical for MCP servers.
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