# spring-ai-mcp-client-server

> spring-ai-mcp-client-server — felipesalvadordev-spring-ai-mcp-client-server. Use this tool when you need to integrate Model Context Protocol (MCP) with Spring AI for seamless communication between client and server applications. It solves problems related to model management, deployment, and inference, enabling efficient exchange of model context information. This tool accepts model inputs and outputs context data, ideal for use cases involving AI model serving, testing, and validation in a Spring-based environment.

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

## Description

Using Model Context Protocol (MCP) with Spring AI

## Trust

- **Trust score (0–1):** 0.89
- **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/felipesalvadordev/spring-ai-mcp-client-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": "felipesalvadordev-spring-ai-mcp-client-server"
    }
  }
}
```

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