Jobdatalake
@echojobsio
About Jobdatalake
MCP server for JobDataLake — search 1M+ enriched job listings from AI tools
Config
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"jobdatalake": {
"url": "https://mcp.jobdatalake.com"
}
}
}Tools
5Search 1M+ job listings from 20K+ companies. Supports keyword search, AI semantic search, filters for location, salary, remote type, seniority, skills, and more.
Get full details for a specific job listing including description, requirements, salary, and apply link. Use the job_handle ID from search_jobs results.
Get company profile including open job count, industry, size, and career page URL.
Find jobs similar to a given job listing using AI vector similarity. Great for "more like this" discovery.
Get available filter values (seniority levels, job functions, skills, etc.) with job counts. Useful for discovering what values to use in search filters.
Overview
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.
Frequently asked questions
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.
Basic information
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