# Homerun ATS MCP Server

> Use this tool when you need to streamline candidate review processes by connecting AI agents to an applicant tracking system. It enables AI-assisted browsing of vacancies, inspection of applications, and leaving of review notes, solving recruitment efficiency and automation problems. The tool accepts vacancy and application data as inputs and outputs review notes, ideal for use in recruitment and hiring contexts.

Canonical page: https://skillsregistry.net/skills/softcery-homerun-ats-mcp  
JSON: https://api.skillsregistry.net/v1/skills/softcery-homerun-ats-mcp

## Description

MCP server that connects AI agents to Homerun, an applicant tracking system. Enables AI-assisted candidate review: browse vacancies, inspect applications, and leave review notes.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/g6ew7tej89)
- **Repository:** <https://github.com/softcery/homerun-ats-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": "softcery-homerun-ats-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/softcery-homerun-ats-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/softcery-homerun-ats-mcp/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