Job Tracker AI

An AI-powered chat server for tracking job interview processes, integrated with Supabase.

A Model Context Protocol (MCP) server for tracking job interview processes using AI-powered chat interaction.

This service exposes structured tools (via MCP) that enable users to log, update, and query their ongoing job applications, interviews, contacts, and outcomes — all through natural language conversations with an LLM. Backed by Supabase for fast prototyping and persistent storage, it's designed to work seamlessly with LLMs like GPT Claude.

- Structured Event Tracking

- Applications
- Interviews
- Offers
- Follow-ups

- Company profiles
- Role details and requirements

- Compensation tracking
- Contact history
- Application status updates

- Context-aware Q&A
- Natural language interaction
- Intelligent insights

The Job Tracker is built with a modern, scalable architecture:

- Supabase Backend

- PostgreSQL database for robust data storage
- Row Level Security (RLS) for data privacy
- Built-in authentication and user management

┌──────────────┐ ┌──────────────┐ ┌──────────────┐ │ LLM Chat │────>│ MCP Tools │────>│ Supabase │ │ Interface │ │ Server │ │ Backend │ └──────────────┘ └──────────────┘ └──────────────┘

- MCP Tools Layer: Exposes structured endpoints for LLM interaction
- Data Models:

- Companies
- Roles (applications)
- Interview Events
- Contacts

The system leverages Supabase's serverless architecture, eliminating the need for traditional backend maintenance while providing enterprise-grade reliability and security.
- Node.js installed on your system
- A Supabase account and project
- Your Supabase project URL and user token

Setup in Your AI Development Environment

{ "mcpServers": { "job-tracker": { "command": "node", "args": ["<path-to-job-tracker>/dist/index.js", "access-token"] } } }

- <path-to-job-tracker>: Path to the installed job-tracker-mcp directory
- <access-token>: Your access token

Once configured, you can interact with the job tracker through natural language in your AI chat. Examples:

- "Add a new company I'm applying to"
- "Log a new interview for [company]"
- "Update the status of my application at [company]"
- "Show me all my upcoming interviews"
- "List all companies I've applied to"

The AI will automatically use the appropriate MCP tools to manage your job search data.

The log file is written tomcp-tool.login your user's home directory. To view the application's logs in real-time, you can use the following command in your terminal:

tail -f ~/.config/job-tracker-mcp/mcp-tool.log

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