Job Tracker MCP Server

Job Tracker MCP Server

Enables tracking job applications through a pipeline, scheduling follow-ups, and summarizing job search progress via natural language.

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README

Job Tracker MCP Server

A Model Context Protocol (MCP) server for tracking job applications and follow-ups, built with FastMCP and SQLite. Lets Claude Desktop, Cursor, or any MCP client log applications, move them through the hiring pipeline, schedule follow-up reminders, and check the health of an active job search through natural conversation.

Features

  • Log job applications with company, role, applied date, status, job URL, and notes
  • Move applications through a fixed set of pipeline stages, with validation on transitions
  • List applications, optionally filtered by status, most recent first
  • Schedule follow-up reminders tied to a specific application
  • Query pending follow-ups due on or before a given date, so you can ask "what follow-ups do I have this week"
  • Mark follow-ups as done
  • Get a pipeline summary: counts of applications grouped by status
  • The valid pipeline stages exposed as an MCP resource for client discovery

Tools

Tool Description
add_application(company, role, date_applied, status, job_url, notes) Insert a new job application
update_status(application_id, new_status) Move an application to a new pipeline status
list_applications(status) List applications, optionally filtered by status, newest first
add_followup(application_id, follow_up_date, note) Schedule a follow-up reminder for an application
get_pending_followups(as_of_date) List follow-ups due on or before a date that are not yet done
mark_followup_done(followup_id) Mark a follow-up as completed
pipeline_summary() Count applications grouped by pipeline status

All dates use YYYY-MM-DD format and are validated on input. Valid pipeline stages are: applied, phone_screen, technical_interview, onsite, offer, rejected, withdrawn. Passing any other value to status or new_status raises a clear error.

Resources

  • pipeline://stages: JSON array of the ordered pipeline stages, so a client can discover valid status values without guessing.

Setup

Requires Python 3.11+ and uv.

uv sync

Claude Desktop config

{
  "mcpServers": {
    "job-tracker": {
      "command": "/path/to/job-tracker-mcp-server/run.sh"
    }
  }
}

Replace /path/to/job-tracker-mcp-server with the absolute path to this repo.

Storage

Data is stored in a local SQLite database (applications.db, created automatically on first run, gitignored). Override the location with the JOB_TRACKER_DB_PATH environment variable.

Testing

uv run pytest

License

MIT

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