Integration
Connect Airparser to Teamtailor
When Document Parsed fires in Airparser, your agent runs Find Candidate in Teamtailor. 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 Airparser and Teamtailor 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 Airparser can start in Teamtailor
When Document Parsed in Airparser
then Find Candidate in Teamtailor
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 Airparser and Teamtailor
Triggers and actions 1 trigger · 19 actions
- Document Parsed
Triggers when Airparser finishes parsing a document in the chosen inbox, giving you the extracted data.
- Create an Inbox
Creates a new Airparser inbox that documents can be sent to for parsing.
- Create or Update Extraction Schema
Sets which fields Airparser should pull out of documents sent to an inbox, replacing whatever schema was there before.
- Delete an Inbox
Deletes an Airparser inbox and the documents stored in it.
- Extract Data From a Document
Sends a document to an Airparser inbox, waits for it to be parsed, and returns the extracted data.
- Extract Data From a Document (Async)
Sends a document to an Airparser inbox and returns straight away without waiting for parsing. Use the Document Parsed trigger or Get Document to pick up the result.
- Get a Document
Returns a parsed Airparser document, including the data extracted from it.
- Get an Inbox
Returns one Airparser inbox with its settings, its email address prefix and its current extraction schema.
- List Documents
Lists the documents in an Airparser inbox, with the data extracted from each one.
- List Inboxes
Lists all the Airparser inboxes in the connected account.
- Find Candidate
Finds candidates by email, phone or other criteria and returns the first match plus all matches.
- Find Job
Finds jobs whose title contains the given text, optionally narrowed by status, department, location and other job filters.
- Get candidate
Returns a single Teamtailor candidate by id, including contact details, tags and custom field values.
- Get job
Returns a single Teamtailor job by its id, including its title, status, description, career-site links and custom field values.
- List candidates
Returns candidates in your Teamtailor account, optionally filtered by email, department, location, dates and more.
- List departments
Returns all departments in your Teamtailor account.
- List job applications
Returns job applications in your Teamtailor account, optionally filtered by stage type and created, updated or stage-change dates.
- List jobs
Returns jobs in your Teamtailor account, optionally filtered by status, department, location, tags and dates.
- List stages
Returns the hiring pipeline stages in your Teamtailor account, optionally limited to one job or stage type.
- List users
Returns the users in your Teamtailor account, optionally filtered by email, department or external id.
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
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Questions
Airparser and Teamtailor, answered
What can start an automation from Airparser?
Any of Airparser's 1 trigger in the catalog, including Document Parsed. Describe the moment in plain language and your agent picks the right one.
What can your agent do in Teamtailor when something happens in Airparser?
Any of Teamtailor's 10 actions, including Find Candidate, Find Job, Get candidate and Get job. Your agent maps the data both ways and tests every scenario before it ships.
Can it also run from Teamtailor to Airparser?
Teamtailor has no triggers in the catalog today, so automations start in Airparser. If you need the other direction, ask: your agent reads Teamtailor's API documentation and adds it.
Do I have to build a connector for Airparser or Teamtailor?
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 Airparser and Teamtailor 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.