# job-apply-agent-mcp

> job-apply-agent-mcp — pragnakalpdev64-job-apply-app-mcp. Use this tool when you need to automate job applications on Lever and Greenhouse ATS systems, saving time and reducing errors by filling forms from a candidate profile. It solves problems of manual application submission, verifying fields for accuracy, and supports testing with dry-run or live submission options. The tool accepts candidate profiles as input and outputs successfully submitted job applications, with optional integration with chat services via Hermes.

Canonical page: https://skillsregistry.net/skills/pragnakalpdev64-job-apply-app-mcp  
JSON: https://api.skillsregistry.net/v1/skills/pragnakalpdev64-job-apply-app-mcp

## Description

MCP server that automates applying to jobs on Lever and Greenhouse ATS systems. It fills forms from a candidate profile, verifies fields, and supports dry-run or live submission, with optional chat integration via Hermes.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** file-system
- **Updated:** 2026-08-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/sczc7twqud)
- **Repository:** <https://github.com/pragnakalpdev64/job-apply-app_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": "pragnakalpdev64-job-apply-app-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/pragnakalpdev64-job-apply-app-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/pragnakalpdev64-job-apply-app-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