Jobdatalake

What is Jobdatalake?

Jobdatalake is an MCP server that provides access to over 1,000,000 enriched job listings from 20,000+ companies. It can be used directly from Claude, Cursor, Windsurf, or any MCP-compatible AI tool. It is free to use with no signup required.

How to use Jobdatalake?

Add the server to your MCP configuration using npx -y @jobdatalake/mcp-server. No API key is needed for the free tier. After configuration, you can ask natural language queries such as "Find me remote senior React jobs paying over $150k" or "Entry level data science jobs posted this week."

Key features of Jobdatalake

• 1,000,000+ active job listings from 20,000+ companies
• AI-enriched with salary (USD), skills, seniority, remote policy, job function
• Sub-100ms search responses with multiple filters
• Five tools: search_jobs, get_job, get_company, get_filter_options, find_similar_jobs
• Free tier: 500 calls/day without signup
• Updated hourly from 40+ ATS platforms

Use cases of Jobdatalake

• Find remote senior React jobs paying over $150k
• Discover entry level data science jobs posted this week
• Explore highest paying remote jobs sorted by salary
• Filter jobs by company, location, date, and skills
• Identify in-demand skills using filter options tool

FAQ from Jobdatalake

How do I get started?

Add the MCP server configuration with npx -y @jobdatalake/mcp-server to your Claude or other MCP-compatible tool. No API key is needed for the free tier.

Do I need an API key?

No, you can use the free tier (500 calls/day) without any signup. For unlimited access, sign up at jobdatalake.com for an API key.

What is the free tier limit?

500 API calls per day, resetting daily. With a paid API key, credits never expire.

What data does Jobdatalake contain?

Over 1 million active job listings from 20,000+ companies, sourced from 40+ ATS platforms and updated hourly. Each listing is AI-enriched with salary, skills, seniority, remote policy, and job function.

What tools are available?

The server provides five tools: search_jobs for filtering and searching jobs, get_job for full job details, get_company for company profiles, get_filter_options for exploring available filter values, and find_similar_jobs for AI-v similarity-based recommendations.