# Spring-AI-showcase-with-Chat-and-MCP-Server

> Spring-AI-showcase-with-Chat-and-MCP-Server — schieblerchris-spring-ai-showcase-with-chat-and-mcp-server. Use this tool when you need to experiment with large language models (LLMs) and test their ability to access local datasets and answer complex questions across multiple data sources. It provides a Spring AI showcase with integrated Chat and MCP-Server functionality, allowing for hands-on evaluation of LLM capabilities. Ideal for developers and researchers seeking to explore AI-powered data querying and retrieval.

Canonical page: https://skillsregistry.net/skills/schieblerchris-spring-ai-showcase-with-chat-and-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/schieblerchris-spring-ai-showcase-with-chat-and-mcp-server

## Description

A Spring AI showcase with Chat and MCP-Server to experiment with the tools and see how good the LLM can access the local dataset and answer complex questions ranging multiple data sources.

## Trust

- **Trust score (0–1):** 0.93
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** Apache-2.0
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/schieblerchris/Spring-AI-showcase-with-Chat-and-MCP-Server)

## 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": "schieblerchris-spring-ai-showcase-with-chat-and-mcp-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/schieblerchris-spring-ai-showcase-with-chat-and-mcp-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/schieblerchris-spring-ai-showcase-with-chat-and-mcp-server/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