# Spring I/O

> Use this tool when you need to access Spring I/O 2025 conference session data, such as talks, workshops, and scheduling details, to build AI-powered conference navigation tools or smart scheduling assistants. It provides a single interface to retrieve all session data for the Barcelona conference, leveraging Spring Boot and MCP server integration. Ideal for use cases requiring conversational access to conference information, this tool returns comprehensive session data through a standardized output.

Canonical page: https://skillsregistry.net/skills/danvega-spring-io  
JSON: https://api.skillsregistry.net/v1/skills/danvega-spring-io

## Description

This Spring I/O MCP server provides AI assistants with access to Spring I/O 2025 conference session data through a Spring Boot application built by Dan Vega using Spring AI's MCP server integration. The implementation loads conference information from JSON including talks, workshops, speakers, room assignments, and scheduling details, exposing this data through a single tool that returns all sessions for the Barcelona conference. Built with Spring Boot 3.5 and configured for STDIO transport with disabled logging to prevent MCP protocol interference, it's valuable for building AI-powered conference navigation tools, smart scheduling assistants, or conference apps that need conversational access to session information.

## Trust

- **Trust score (0–1):** 0.98
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** monitoring
- **Updated:** 2026-09-19

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/danvega-spring-io)
- **Repository:** <https://github.com/danvega/spring-io-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": "danvega-spring-io"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/danvega-spring-io` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/danvega-spring-io/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