# hiring-mcp

> Use this tool when you need to streamline your hiring process and manage job applications efficiently. It enables candidates to apply to open roles through an AI agent, solving problems of manual application processing and candidate sourcing. With inputs of job postings and applicant data, and outputs of filtered candidate pools and review-ready applications, it provides an admin API for seamless role management and applicant review.

Canonical page: https://skillsregistry.net/skills/meetvaghani12-hiring-mcp  
JSON: https://api.skillsregistry.net/v1/skills/meetvaghani12-hiring-mcp

## Description

Enables candidates to apply to your open roles through an AI agent using Model Context Protocol, with Postgres, S3 storage, and an admin API for role management and applicant review.

## Trust

- **Trust score (0–1):** 0.76
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/s4ignlvqf9)
- **Repository:** <https://github.com/meetvaghani12/hiring_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": "meetvaghani12-hiring-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/meetvaghani12-hiring-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/meetvaghani12-hiring-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