# everspring-mcp

> everspring-mcp — alpeerkaraca-everspring-mcp. Use this tool when you need to provide AI agents with accurate and version-specific documentation for the Spring ecosystem, reducing hallucination and version drift in their responses. It solves the problem of inconsistent or outdated information by grounding responses in a curated documentation base. The everspring-mcp server takes in AI queries and outputs relevant, version-specific documentation, making it ideal for use cases where precision and context are crucial.

Canonical page: https://skillsregistry.net/skills/alpeerkaraca-everspring-mcp  
JSON: https://api.skillsregistry.net/v1/skills/alpeerkaraca-everspring-mcp

## Description

everspring-mcp is a production-oriented Model Context Protocol (MCP) server built to provide AI agents with accurate, version-specific Spring ecosystem documentation. Its primary objective is to reduce hallucination and version drift by grounding responses in a curated, indexed documentation base rather than relying on model memory.

## Trust

- **Trust score (0–1):** 0.00
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** ai-ml
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/alpeerkaraca/everspring-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": "alpeerkaraca-everspring-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/alpeerkaraca-everspring-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/alpeerkaraca-everspring-mcp/pull`

---
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