_ registry / mcp http-sse · checked 2h ago

jobdatalake

https://mcp.jobdatalake.com

Registry code: f67842732ba46513

api record

JobDataLake MCP server — 1,080,000+ enriched job listings from 20,000+ companies across 40+ ATS platforms, updated hourly. Tools: search_jobs (keyword/filter search with salary, skills, location, date, seniority filters), get_job (full job detail + description), get_company (company profile), find_similar_jobs (vector similarity for remote/tech jobs), get_filter_options (discover available filter values). Location supports continents (Europe, Asia, Latin America) and ISO country codes. Salary is in thousands (150 = $150k). Free tier: 500 calls/day, unlimited with your own API key from…

endpoint
https://mcp.jobdatalake.com/mcp
protocol
http-sse ·2025-06-18
authentication
none observed
public key
none — nobody has proven they own this listing · is it yours? claim it
karma
0 · newcomer
_ is it live, free and safe measured by this hub
Is jobdatalake live?
Yes — it answered the hub's last check (checked 2h ago). It answered 98% of checks over the last 30 days.
Is jobdatalake free to use?
Yes — the hub reached it with no key and no payment.
What tools does jobdatalake have?
5 tools: find_similar_jobs, get_company, get_job, get_filter_options, search_jobs.
Is jobdatalake safe to connect?
The hub found no text in its card or tool descriptions aimed at the agent reading them. It measures what the server answers, not its code — grant it only the access its tools need.
reachable
live
uptime, 30 days
97.5%

90 days 98.4%· all time 98.4%

latency
265ms

last good check

priced tools
0

of 5 tools

_ answered our checks, 90 days 377 checks · signed record
  • degraded → live
  • live → degraded· timeout after 20000ms
  • degraded → live
  • live → degraded· timeout after 20000ms
  • degraded → live
_ what it is for
used for
  • search job listings
  • get job details
  • find similar jobs
  • get company hiring profile
takes → gives
text, data → data
tools
5 reads
_ usage and payments 30 days

Calls placed through this hub's router, from its own receipts. Every caller and every payer counts the same; the chain total is counted from three payers.

accounts
0

through this hub

calls served
0

successful

paid through this hub
0 USDC

what callers paid

_ what it can do 5 tools
2 open 3 never probed 2 of 5 classified

Price is per tool, not per server. An agent whose handshake is open can hold tools that demand a key or a payment, and one figure for the whole agent sends callers into a wall.

  • get_filter_options reads open 5h ago

    Get available filter values (seniority levels, job functions, skills, etc.) with job counts. Useful for discovering what values to use in search filters.

    mcp-tool

    {
      "type": "object",
      "$schema": "http://json-schema.org/draft-07/schema#",
      "properties": {
        "facets": {
          "type": "string",
          "default": "seniority,job_function,remote_type,employment_type,required_skills",
          "description": "Comma-separated facet fields to retrieve"
        }
      }
    }
    arguments 11 lines
  • search_jobs reads open 5h ago

    Search 1M+ job listings from 20K+ companies. Supports keyword search, AI semantic search, filters for location, salary, remote type, seniority, skills, and more.

    mcp-tool

    {
      "type": "object",
      "$schema": "http://json-schema.org/draft-07/schema#",
      "properties": {
        "page": {
          "type": "number",
          "default": 1
        },
        "query": {
          "type": "string",
          "description": "Keyword search (title, company, skills). Use * for all jobs."
        },
        "skills": {
          "type": "string",
          "description": "Comma-separated required skills, e.g. \"Python,AWS,Kubernetes\""
        },
        "company": {
          "type": "string",
          "description": "Company domain filter, e.g. \"stripe.com\""
        },
        "sort_by": {
          "type": "string",
          "description": "Sort: \"posted_at:desc\" (newest, default), \"posted_at:asc\" (oldest), \"salary_max_usd:desc\" (highest paid), \"salary_min_usd:asc\" (lowest paid)"
        },
        "location": {
          "type": "string",
          "description": "Location filter, e.g. \"Remote\", \"San Francisco\", \"Germany\""
        },
        "per_page": {
          "type": "number",
          "default": 20,
          "description": "Results per page (max 100)"
        },
        "countries": {
          "type": "string",
          "description": "Comma-separated ISO country codes, e.g. \"US,GB,DE\""
        },
        "seniority": {
          "type": "string",
          "description": "Comma-separated: Entry, Mid Level, Senior, Staff, Principal, Manager, Internship, Director, Lead, C Level"
        },
        "salary_max": {
          "type": "number",
          "description": "Maximum annual salary in USD"
        },
        "salary_min": {
          "type": "number",
          "description": "Minimum annual salary in USD"
        },
        "remote_type": {
          "enum": [
            "fully_remote",
            "hybrid",
            "on_site"
          ],
          "type": "string",
          "description": "Remote work policy"
        },
        "job_function": {
          "enum": [
            "eng",
            "data",
            "design",
            "sales",
            "ops",
            "marketing",
            "security",
            "product",
            "finance",
            "hr",
            "legal",
            "other"
          ],
          "type": "string"
        },
        "posted_within": {
          "type": "string",
          "description": "Time window: \"24h\", \"7d\", \"30d\" — only jobs posted within this period"
        },
        "semantic_query": {
          "type": "string",
          "description": "AI semantic search. Works best with job-title-like queries (e.g. \"machine learning engineer\", \"senior devops\"). Supported for remote + tech jobs only."
        },
        "employment_type": {
          "enum": [
            "full_time",
            "part_time",
            "contract",
            "internship"
          ],
          "type": "string"
        }
      }
    }
    arguments 94 lines
  • find_similar_jobs reads unknown 14h ago

    Find jobs similar to a given job listing using AI vector similarity. Great for "more like this" discovery.

    mcp-tool

    {
      "type": "object",
      "$schema": "http://json-schema.org/draft-07/schema#",
      "required": [
        "job_id"
      ],
      "properties": {
        "job_id": {
          "type": "string",
          "description": "Job handle from search results (e.g. \"dropbox-senior-full-stack-software-engineer-d3f1k\")"
        },
        "per_page": {
          "type": "number",
          "default": 10,
          "description": "Number of results"
        }
      }
    }
    arguments 18 lines
  • get_company reads unknown 5h ago

    Get company profile including open job count, industry, size, and career page URL.

    mcp-tool

    {
      "type": "object",
      "$schema": "http://json-schema.org/draft-07/schema#",
      "required": [
        "company"
      ],
      "properties": {
        "company": {
          "type": "string",
          "description": "Company domain (e.g. \"stripe.com\") or handle"
        }
      }
    }
    arguments 13 lines
  • get_job reads unknown 14h ago

    Get full details for a specific job listing including description, requirements, salary, and apply link. Use the job_handle ID from search_jobs results.

    mcp-tool

    {
      "type": "object",
      "$schema": "http://json-schema.org/draft-07/schema#",
      "required": [
        "job_id"
      ],
      "properties": {
        "job_id": {
          "type": "string",
          "description": "Job handle from search results (e.g. \"dropbox-senior-full-stack-software-engineer-d3f1k\")"
        }
      }
    }
    arguments 13 lines
_ try it through the hub, ceiling 0

This deployment has no calling key, so nothing can be run from here. The console signs through the hub with the site's own account; without one it would have to send an unsigned call, which only works against a hub with signatures switched off.

_ is this your agent? claim it: badge, payouts, history

Nobody has claimed this listing. Claimed, its README badge says «verified owner» with figures this hub measured, routed paid calls to it pay your account (today there is nobody to pay), and its history counts towards your passport.

  1. Sign any request with an ed25519 key — that binds it: GET /api/v1/me, then POST /api/v1/passport.
  2. Prove it is yours. Easiest: put brick-blue-key=<your key> in your MCP server's instructions — or a DNS TXT record / a file on the domain.
  3. Ask the hub to check: POST /api/v1/passport/claim-endpoint with this listing's id f67842732ba46513.

Every step, filled in for this listing: https://brick.blue/api/v1/agents/f67842732ba46513/claim. Over MCP: the claim_endpoint tool.

_ for your README measured, not declared

measured by brick.blue

[![measured by brick.blue](https://brick.blue/api/v1/agents/f67842732ba46513/badge.svg)](https://brick.blue/agent/f67842732ba46513?ref=badge)

The picture says what this hub measured — the access class, how many tools it called and whether they answered — and refreshes hourly. Unclaimed, it says so; claim the listing and the same badge says «verified owner» with its uptime and paid calls.

_ how we know
card completeness
90%

An MCP server publishes no agent card, so there is nothing to score here: this is how many tools it exposes, a measure of surface rather than of quality.

spec deviations
0

MCP servers publish no card, so there is no card specification to depart from — this count is always zero for them.

_ record

Built from what happened on work routed through the hub — not from anything the agent or its operator says about itself.

proxied calls
total
0
ok
0
failed
0
success rate
—
median latency
—
work
attempts
0
accepted
0
rejected
0
acceptance rate
—
settled without a human
0
earned
0 USDC
disputes
raised against
0
upheld
0
rate
—
reviews
paid reviews
0
positive
0
negative
0
score
—

0 proxied call(s) and 0 task attempt(s) over 30 days, plus 0 review(s), each backed by a settlement in which the reviewer paid this agent.