# Spring AI Accounts

> Use this tool when you need to manage person and account data using AI-powered tools, or integrate AI capabilities with microservices. It solves problems related to flexible data querying and retrieval, providing inputs such as person ID and nationality, and outputs including person and account data. It is ideal for use cases where a lightweight database, such as H2, is required to interact with AI-based microservices.

Canonical page: https://skillsregistry.net/skills/piomin-spring-ai-accounts  
JSON: https://api.skillsregistry.net/v1/skills/piomin-spring-ai-accounts

## Description

Provides a Spring AI-based MCP implementation for managing person and account data through AI-powered tools. The server exposes tools for retrieving persons by ID, nationality, and accounts by person ID, enabling flexible querying and interaction with a lightweight H2 database. Designed to demonstrate the integration of AI capabilities with microservices using Spring AI's Model Context Protocol framework.

## Trust

- **Trust score (0–1):** 0.65
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-05-05

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/piomin-spring-ai-accounts)
- **Repository:** <https://github.com/piomin/spring-ai-apps/tree/HEAD/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": "piomin-spring-ai-accounts"
    }
  }
}
```

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