Integration
Connect Breezy HR to Umeå Open Data
When New Candidate fires in Breezy HR, your agent runs Find records by dataset in Umeå Open Data. 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 Breezy HR and Umeå Open Data 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 Breezy HR can start in Umeå Open Data
When New Candidate in Breezy HR
then Find records by dataset in Umeå Open Data
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 Breezy HR and Umeå Open Data
Triggers and actions 2 triggers · 14 actions
- New Candidate
Triggers when a new candidate is added to the selected position in Breezy HR.
- New Candidate in Stage
Triggers when a candidate on the chosen position is in the chosen pipeline stage.
- Add candidate note
Adds an internal team note to a candidate's activity stream on a position. The note is not visible to the candidate.
- Add position
Creates a new position (job opening) in a Breezy HR company and returns the created position.
- Find candidates by criteria
Returns candidates across the whole Breezy HR company that match a free-text search on name, email, phone, headline, tags, questionnaire answers, work history, education or position location.
- Get position
Returns a single Breezy HR position with its full details, including name, type, state, location, department, description, application form and salary.
- List candidate activity
Returns a candidate's activity stream on a position: stage moves, notes, interviews, documents, questionnaires and other events, newest first.
- List candidates
Returns the candidates on a Breezy HR position, with each candidate's name, contact details, pipeline stage, source and score.
- List pipelines
Returns the hiring pipelines configured for a Breezy HR company, including each pipeline's stages.
- List positions
Returns the positions (job openings) in a Breezy HR company, optionally limited to one state such as published or draft.
- Update candidate stage
Moves a candidate to a different stage in their position's hiring pipeline and returns the updated candidate.
- Update position
Updates an existing Breezy HR position (job requisition). Only the details you fill in are changed; everything else on the position is left as it is.
- Find records by dataset
Query the records in one dataset, with filtering and sorting.
- Get dataset
Retrieve metadata and schema information for one dataset by its id.
- Get record
Read a single record from a dataset by its record id.
- List datasets
List and search the open datasets published in Umeå's catalog.
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
Breezy HR and Umeå Open Data, answered
What can start an automation from Breezy HR?
Any of Breezy HR's 2 triggers in the catalog, including New Candidate and New Candidate in Stage. Describe the moment in plain language and your agent picks the right one.
What can your agent do in Umeå Open Data when something happens in Breezy HR?
Any of Umeå Open Data's 4 actions, including Find records by dataset, Get dataset, Get record and List datasets. Your agent maps the data both ways and tests every scenario before it ships.
Can it also run from Umeå Open Data to Breezy HR?
Umeå Open Data has no triggers in the catalog today, so automations start in Breezy HR. If you need the other direction, ask: your agent reads Umeå Open Data's API documentation and adds it.
Do I have to build a connector for Breezy HR or Umeå Open Data?
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 Breezy HR and Umeå Open Data 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.