h1b-mcp
An MCP server that enables users to query H1B visa sponsorship data, approval rates, and top roles using public Department of Labor records. It provides tools for looking up company-specific stats and filtering sponsors by job title, city, or state.
README
h1b-mcp
An MCP server that lets Claude answer H1B visa sponsorship questions using free public DOL data.
Ask things like:
- "Does Google sponsor H1Bs?"
- "What's Amazon's H1B approval rate and top roles?"
- "Which companies in Austin sponsor H1Bs for Data Engineers?"
Tools
| Tool | Description |
|---|---|
lookup_company |
Quick sponsorship check + certified/denied/withdrawn counts |
get_company_stats |
Approval rate, top 5 roles, avg annual wage, states |
search_sponsors |
Filter companies by job title, state, and/or city |
Setup
1. Clone and install
git clone https://github.com/<your-username>/h1b-mcp.git
cd h1b-mcp
python3 -m venv venv
source venv/bin/activate # Windows: venv\Scripts\activate
pip install -r requirements.txt
2. Build the database (one-time, ~2-3 min)
python loader.py
This downloads the FY2024 Q2 DOL H1B LCA data (~50MB) and loads it into a local SQLite database.
3. Verify the database
python -c "import sqlite3; db = sqlite3.connect('h1b.db'); print(db.execute('SELECT COUNT(*) FROM lca_applications').fetchone())"
Should print a non-zero count (e.g., (600000,)).
4. Connect to Claude Desktop
Edit ~/Library/Application Support/Claude/claude_desktop_config.json (macOS) or %APPDATA%\Claude\claude_desktop_config.json (Windows):
{
"mcpServers": {
"h1b": {
"command": "/absolute/path/to/h1b-mcp/venv/bin/python",
"args": ["/absolute/path/to/h1b-mcp/server.py"]
}
}
}
Important: Use the absolute path to the venv Python, not bare python. To find it:
cd h1b-mcp && source venv/bin/activate && which python
5. Restart Claude Desktop and start asking
"Which companies in New York sponsor H1Bs for software engineers?"
Data Source
Public DOL LCA Disclosure Data (FY2024 Q2). Source: https://www.dol.gov/agencies/eta/foreign-labor/performance
No API keys required. Data is a quarterly snapshot — re-run loader.py to refresh.
Running Tests
source venv/bin/activate
pytest tests/ -v
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