# spring-ai-mcp

> spring-ai-mcp — rafiq15-spring-ai-mcp. Use this tool when you need to integrate Spring AI with Model Context Protocol (MCP) for streamlined model management and deployment. It solves problems related to model context and versioning, providing a seamless interface for git-based model tracking and updates. Ideal for use cases requiring AI model version control and collaboration, it takes in model configurations and outputs integrated AI models with MCP.

Canonical page: https://skillsregistry.net/skills/rafiq15-spring-ai-mcp  
JSON: https://api.skillsregistry.net/v1/skills/rafiq15-spring-ai-mcp

## Description

Spring AI integration with MCP (Model Context Protocol)

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/rafiq15/spring-ai-mcp)

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "rafiq15-spring-ai-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/rafiq15-spring-ai-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/rafiq15-spring-ai-mcp/pull`

---
SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt