Integration
Connect Particle to HrFlow.ai
When New device event (instant) fires in Particle, your agent runs Ask Questions to a Job Indexed in a Board in HrFlow.ai. 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 Particle and HrFlow.ai 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 Particle can start in HrFlow.ai
When New device event (instant) in Particle
then Ask Questions to a Job Indexed in a Board in HrFlow.ai
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 Particle and HrFlow.ai
Triggers and actions 1 trigger · 15 actions
- New device event (instant)
Fires when a matching device event is published, delivered via a Particle webhook integration.
- Execute a logic function
Run a configured Particle Logic function and return its result.
- Get ledger instance
Retrieve the current data for a ledger instance (shared cloud/device key-value state).
- List devices
List all devices in your account or product fleet.
- Publish an event
Publish a custom event to the device cloud so other devices or integrations can subscribe to it.
- Set ledger instance data
Update the data stored in a ledger instance.
- Ask Questions to a Job Indexed in a Board
Asks one or more questions about a job already indexed in a HrFlow.ai board and returns the answers, in the order the questions were asked.
- Ask Questions to a Profile Indexed in a Source
Asks one or more free-text questions about a candidate profile already indexed in an HrFlow.ai source, and returns the answers in the order the questions were asked.
- Get a Profile
Returns a profile stored in a source, looked up by its key or your own reference.
- Index a Job Into a Board
Adds a job to a board in your HrFlow.ai workspace, with its title, location, description sections, skills and tags, and returns the job HrFlow.ai created.
- Index a Profile Into a Source
Adds a candidate profile to a source in HrFlow.ai and returns the indexed profile.
- Make an API Call
Makes any HrFlow.ai API call you specify, for endpoints that do not yet have their own action. You supply the method, the path and any data; the connected account's credentials are applied for you.
- OCR a Text
Reads the text out of a document or image, such as a scanned resume, and returns it along with the detected language and a page-by-page breakdown.
- Search Jobs in Boards
Searches the jobs indexed in one or more HrFlow.ai boards by keywords, title, skills, location and tags, and returns the matching jobs.
- Search Profiles in Sources
Searches the candidate profiles indexed in your HrFlow.ai sources by keywords, skills, tags, stage, location and experience, and returns the matching profiles.
- Vectorize a Text
Turns text such as a job description or a resume into a numeric vector, so it can be compared, clustered or searched by meaning.
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
Particle and HrFlow.ai, answered
What can start an automation from Particle?
Any of Particle's 1 trigger in the catalog, including New device event (instant). Describe the moment in plain language and your agent picks the right one.
What can your agent do in HrFlow.ai when something happens in Particle?
Any of HrFlow.ai's 10 actions, including Ask Questions to a Job Indexed in a Board, Ask Questions to a Profile Indexed in a Source, Get a Profile and Index a Job Into a Board. Your agent maps the data both ways and tests every scenario before it ships.
Can it also run from HrFlow.ai to Particle?
HrFlow.ai has no triggers in the catalog today, so automations start in Particle. If you need the other direction, ask: your agent reads HrFlow.ai's API documentation and adds it.
Do I have to build a connector for Particle or HrFlow.ai?
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 Particle and HrFlow.ai 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.