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
Basic information
MCP server implementation that serves up-to-date information about projects from api.spring.io
No standard config provided
This server doesn't expose a parseable MCP config block in its README. See the repository for install instructions.
RepositoryTool list not available yet
This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.
We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
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.

Let your cloud agents talk to you. Grok Bot, Meta Muse, ChatGPT, Claude, Devin and others report progress to Heard, which reads it out loud on your Mac, and they pick up the replies you send back.
OrangePro local-first CLI + MCP server for behavior mapping, grounded test generation, and dynamic proof.
MeroFoundry is a remote MCP server available at https://platform.merofoundry.com/mcp.
Gives AI agents public URLs (tunnels) for localhost, live HTTP traffic inspection, snapshot publishing, and access control. Part of LocalCan, the ngrok alternative for Mac, Windows and Linux. Free plan.

SSH MCP server for AI agents: remote commands, file transfer, log search and server audits through OpenSSH.
Comments