The JobDataLake MCP Server lets you search and explore 1M+ enriched job listings from 20,000+ companies (updated hourly) directly from AI tools like Claude or Cursor.
Search jobs (search_jobs): Query listings using keywords, semantic/natural language, or filters like location, salary range (USD), remote type (fully remote, hybrid, on-site), seniority, required skills, job function, employment type, company domain, and country codes.
Get job details (get_job): Retrieve full info for a specific listing — description, requirements, salary, and apply link — using a job ID or handle.
Get company profile (get_company): Look up a company by domain (e.g. stripe.com) or handle to see industry, size, funding, open job count, and career page URL.
Find similar jobs (find_similar_jobs): Discover related listings using AI vector similarity for "more like this" exploration.
Explore filter options: Identify available filter values and job counts (e.g., in-demand skills) to understand dataset contents.
Access: Free with no signup required (500 calls/day); use an API key for higher/unlimited limits.
Integrates with Greenhouse ATS platform as one of 40+ supported ATS systems, enabling access to job listings and application data from companies using Greenhouse for recruitment.
Provides capability to find jobs similar to Stripe backend roles using AI vector similarity, enabling targeted job search based on specific company role patterns.
Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type @ followed by the MCP server name and your instructions, e.g., "@JobDataLake MCP Server find remote senior React jobs paying over $150k"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
Search 1,000,000+ enriched job listings from 20,000+ companies directly from Claude, Cursor, Windsurf, or any MCP-compatible AI tool.
Free to use — no signup required. 500 calls/day included.
Add to your Claude Code or Claude Desktop MCP config:
{
"mcpServers": {
"jobdatalake": {
"command": "npx",
"args": ["-y", "@jobdatalake/mcp-server"]
}
}
}That's it. No API key needed. Then ask:
"Find me remote senior React jobs paying over $150k"
"Entry level data science jobs posted this week"
"Jobs at Anthropic paying over $200k"
Sign up at jobdatalake.com for your own API key, then add it:
{
"mcpServers": {
"jobdatalake": {
"command": "npx",
"args": ["-y", "@jobdatalake/mcp-server"],
"env": {
"JDL_API_KEY": "jdl_your_key_here"
}
}
}
}Related MCP server: JobSpy Cowork MCP Server
search_jobsSearch and filter jobs by keyword, skills, salary, remote type, seniority, location, date, and more.
Filters:
query — keyword search (title, company, skills)
skills — AND filter: Python,AWS,Kubernetes (all must match)
salary_min / salary_max — in USD (accepts full dollars, e.g. 150000)
remote_type — fully_remote, hybrid, on_site
seniority — Entry, Mid Level, Senior, Staff, Principal, Manager, Director, C Level
location — city, country, or continent (Europe, Asia, Latin America, Scandinavia, etc.)
countries — ISO codes: US,GB,DE
job_function — eng, data, design, sales, marketing, product, etc.
employment_type — full_time, part_time, contract, internship
posted_within — 24h, 7d, 30d
sort_by — posted_at:desc, salary_max_usd:desc, salary_min_usd:asc
company — filter by domain: stripe.com
get_jobGet full details for a specific job including description, requirements, salary, and apply link. Use the job_handle ID from search results.
get_companyGet company profile — industry, size, funding, career page. Accepts domain (stripe.com) or handle.
get_filter_optionsDiscover available filter values with job counts. Great for exploring what's in the dataset.
find_similar_jobsFind jobs similar to a given listing using AI vector similarity. Available for remote + tech jobs.
Free tier (no signup): 500 calls/day, resets daily.
With your own API key:
Free: 1,000 credits on signup
Starter: 1,000,000 credits — $200
Growth: 2,000,000 credits — $300
Business: 4,000,000 credits — $400
Credits never expire. Get your API key.
1M+ active job listings from 20,000+ companies
40+ ATS platforms (Greenhouse, Lever, Workday, Ashby, etc.)
Updated hourly
AI-enriched: salary (USD), skills, seniority, remote policy, job function
Sub-100ms search responses
Query | What it does |
"Remote Python jobs over $150k" | Skills + salary + remote filter |
"Jobs at Stripe" | Company filter |
"Entry level data science" | Seniority filter |
"New remote jobs today" | Date + remote filter |
"React AND TypeScript jobs in Europe" | Multi-skill AND + continent |
"Highest paying remote jobs" | Salary sort |
"What skills are most in demand?" | Filter options tool |
MIT — see LICENSE.
Questions: mg@jobdatalake.com
Website: jobdatalake.com
Find jobs similar to a given job listing using AI vector similarity. Great for "more like this" discovery.
Inputs: job_id (required), per_page.
Get company profile including open job count, industry, size, and career page URL.
Inputs: company (required).
Get full details for a specific job listing including description, requirements, salary, and apply link.
Inputs: job_id (required).
Search 1M+ job listings from 20K+ companies. Supports keyword search, AI semantic search, filters for location, salary, remote type, seniority, skills, and more.
Inputs: query, semantic_query, location, remote_type, +10 more.
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
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Scored across 4 tools
Each tool has a clearly distinct purpose: find_similar_jobs focuses on AI-based similarity matching for job discovery, get_company retrieves company profiles, get_job fetches specific job details, and search_jobs handles broad keyword/semantic search with filtering. There is no overlap in functionality, making tool selection unambiguous.
All tool names follow a consistent verb_noun pattern with snake_case (e.g., find_similar_jobs, get_company, get_job, search_jobs). The verbs (find, get, search) are appropriately descriptive and maintain a predictable naming convention throughout the set.
With 4 tools, the server is well-scoped for job data exploration, covering key operations like searching, retrieving details, finding similar items, and company profiling. It feels slightly lean but reasonable, as core workflows are supported without unnecessary bloat.
The toolset provides comprehensive coverage for job data querying and discovery, including search, detailed retrieval, similarity matching, and company context. Minor gaps exist, such as no explicit update or delete operations, but these are likely unnecessary for a read-only data lake, and agents can work effectively with the available tools.
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