Integration
Connect JOIN to JobDataLake
When Application Created fires in JOIN, your agent runs Find jobs by criteria in JobDataLake. Describe the whole flow and it is built, tested on every scenario and kept running.
What the catalog holds today. Ask for anything missing and your agent reads the API documentation and adds it.
Build solutions, not workarounds.
What do you want JOIN and JobDataLake to do together?
Ask the assistant
Connect your AI client
Give your AI client this address.
https://mcp.apiant.aiOne connection does both: ask your client to act in an app once, or have it build an automation that keeps running. Any client that takes a remote MCP server. Nothing to install. Create your free account, then sign in once in your browser.
Set it up in your client
Claude Code
Run this in the directory you want to work in.
claude mcp add --transport http -s project apiant-ai https://mcp.apiant.aiStart Claude Code there, approve the server, and sign in in the browser page it opens.
Claude Code guide (opens in a new tab)Claude, web and desktop
Open Customize, then Connectors, then Add custom connector, and paste the address. On Team and Enterprise an owner adds it first.
Setup guide (opens in a new tab)Cursor
Add the address to your MCP configuration as a server URL. Cursor signs you in in your browser.
Setup guide (opens in a new tab)Zed
Open Settings, then AI, then MCP Servers, then Add Server, then Add Remote Server.
Setup guide (opens in a new tab)Codex and the ChatGPT desktop app
Open Settings, then MCP servers, then Add server, and choose Streamable HTTP. From the terminal, Codex takes the address with its own add command and then signs you in.
Setup guide (opens in a new tab)Any other MCP client
Paste the address where the client asks for a remote MCP server URL, and name the server apiant-ai where it lets you. APIANT's skills reach the client over the same connection.
Setup guide (opens in a new tab)Example flows
What JOIN can start in JobDataLake
When Application Created in JOIN
then Find jobs by criteria in JobDataLake
Starting points drawn from the triggers and actions in the catalog today. Describe the flow you need, at any depth, and your agent builds it and tests every scenario before it ships.
Everything your agent can do with JOIN and JobDataLake
Triggers and actions 3 triggers · 19 actions
- Application Created
Triggers when a new job application is received in JOIN.
- Job Published
Triggers when a job is published (goes online) in JOIN.
- Job Unpublished
Triggers when a job is taken offline or archived in JOIN.
- Add candidate note
Adds a note to a candidate in JOIN.
- Add job
Creates a job in JOIN. New jobs are activated and multiposted to job boards automatically.
- Add location
Creates a new office location in JOIN that job ads can be assigned to.
- Create Application
Creates an application for a candidate on a JOIN job, optionally attaching documents such as a CV.
- Get application
Returns one job application, including its candidate, job, attachments, screening answers and pipeline stage.
- Get candidate
Returns a single JOIN candidate by id, including contact details, tags, consent status and their applications, with notes optionally embedded.
- Get job
Returns a single JOIN job by its ID, including its title, status, office and optionally its full content.
- Get Jobs
Returns jobs in your JOIN account, optionally filtered by status, title, country, external id, or creation/update dates.
- Get Online Jobs
Returns the jobs currently published (online) in your JOIN account, optionally filtered by title, country, dates or external id.
- List applications
Returns the applications in your JOIN account, optionally filtered by job, dates, country, hiring state or pipeline stage.
- List candidate notes
Returns all notes recorded on a candidate in JOIN, including replies.
- List candidates
Returns the candidates in your JOIN company, optionally filtered by a name/email search or creation date.
- List candidate scorecards
Returns the scorecards submitted for a candidate's job application, including each interviewer's overall recommendation, attribute ratings and question answers.
- List locations
Returns the office locations in your JOIN account, optionally filtered by country or city.
- Update job
Updates an existing job's details, such as title, description, office, salary, and application requirements. Fields you leave blank stay unchanged.
- Update Job Status
Changes a JOIN job's status to online, offline or archived, and returns the job's ID.
- Find jobs by criteria
search/filter 1.8M+ enriched job listings by keyword (q), semantic query, location, remote type, country/state, job function, seniority, employment type, salary range, skills, company domain, posted_after, with pagination and sort_by; costs 1 credit per call.
- Get company
fetch a company profile by handle or domain name, returning industry, size, funding, and career page.
- Get job
fetch a single job by its handle or ID, returning full description, requirements, and apply link.
No trigger or action matches that. Ask your agent to add it: it reads the API documentation and builds what you describe.
Each app on its own
Reviews
What our customers say
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Questions
JOIN and JobDataLake, answered
What can start an automation from JOIN?
Any of JOIN's 3 triggers in the catalog, including Application Created, Job Published and Job Unpublished. Describe the moment in plain language and your agent picks the right one.
What can your agent do in JobDataLake when something happens in JOIN?
Any of JobDataLake's 3 actions, including Find jobs by criteria, Get company and Get job. Your agent maps the data both ways and tests every scenario before it ships.
Can it also run from JobDataLake to JOIN?
JobDataLake has no triggers in the catalog today, so automations start in JOIN. If you need the other direction, ask: your agent reads JobDataLake's API documentation and adds it.
Do I have to build a connector for JOIN or JobDataLake?
No. Both are in the catalog with their triggers and actions. You describe the automation; your agent builds it, tests every scenario and keeps it running.
Can my AI client use JOIN and JobDataLake without building an automation?
Yes. With your AI client connected to APIANT, ask it to do something in either app once and it runs that action on the spot. Ask for an automation and your agent builds it, tests every scenario and keeps it running. One connection covers both.
What happens when something fails?
Your agent works that out for you. It plans the failure paths along with the happy path, then tests every scenario before it ships.
Is there a free plan?
Yes. Every plan includes the agent, including free, and building from your own AI client spends no assistant credits.