# Application Tracker MCP

> Application Tracker MCP — jrootn-application-tracker-mcp. Use this tool when you need to manage and track multiple job, fellowship, or graduate school applications in a private and organized manner. It solves problems related to application status tracking, role fit analysis, and document generation, providing inputs such as application details and outputs like customized LaTeX CVs and cover letters. Ideal for use during job searches or academic application seasons, it streamlines the process and helps users stay on top of their applications.

Canonical page: https://skillsregistry.net/skills/jrootn-application-tracker-mcp  
JSON: https://api.skillsregistry.net/v1/skills/jrootn-application-tracker-mcp

## Description

A privacy-first MCP server for locally managing job, fellowship, and graduate-school applications. It offers tools for tracking application status, analyzing role fit, generating LaTeX CV/cover letters, interview prep, and discovering public jobs from ATS APIs.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/ov91oeq2ei)
- **Repository:** <https://github.com/jrootn/application-tracker-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": "jrootn-application-tracker-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/jrootn-application-tracker-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/jrootn-application-tracker-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