# spring-ai-mcp-server-ws

> spring-ai-mcp-server-ws — umaxcode-spring-ai-mcp-server-ws. Use this tool when you need to integrate AI capabilities into your Spring-based application, specifically for managing and deploying AI models with AWS AgentCore. It solves problems related to model serving, inference, and management, providing a scalable and secure interface for AI model deployment. This tool accepts Git-based inputs and outputs AI model serving endpoints, ideal for use cases involving real-time inference and model updates.

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

## Description

spring mcp server with AWS AgentCore

## 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/UmaxCode/spring-ai-mcp-server-ws)

## 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": "umaxcode-spring-ai-mcp-server-ws"
    }
  }
}
```

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

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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