# lever-mcp

> lever-mcp — stefanoamorelli-lever-mcp. Use this tool when you need to integrate with Lever ATS and manage model context protocols. It solves problems related to applicant tracking system integration, data synchronization, and workflow automation. The lever-mcp server takes in git repository inputs and outputs model context protocol data, ideal for use cases involving recruitment pipeline optimization and candidate data management.

Canonical page: https://skillsregistry.net/skills/stefanoamorelli-lever-mcp  
JSON: https://api.skillsregistry.net/v1/skills/stefanoamorelli-lever-mcp

## Description

A Lever ATS MCP (Model Context Protocol) Server. Built in golang.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** AGPL-3.0
- **Updated:** 2026-09-27

## Source

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

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