Integration
Connect Recruiterflow to Optimizely
When Deal Stage Changed fires in Recruiterflow, your agent runs Add page in Optimizely. 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 Recruiterflow and Optimizely 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 Recruiterflow can start in Optimizely
When Deal Stage Changed in Recruiterflow
then Add page in Optimizely
When New Candidate Created in Recruiterflow
then Add project in Optimizely
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 Recruiterflow and Optimizely
Triggers and actions 6 triggers · 45 actions
Trigger
Deal Stage ChangedTriggers when a deal moves to a new pipeline stage in Recruiterflow.
Trigger
New Candidate CreatedTriggers when a new candidate is added to Recruiterflow.
Trigger
New Contact CreatedTriggers when a new contact is added in Recruiterflow.
Trigger
New Deal CreatedTriggers when a new deal is created in Recruiterflow.
Trigger
Placement Record CreatedTriggers when a new placement record is created in Recruiterflow.
Trigger
Placement Record UpdatedTriggers when a placement record is created or edited in Recruiterflow.
Action
Add callLogs a call in Recruiterflow against candidates, clients, contacts, deals or jobs.
Action
Add candidate noteAdds a note to a candidate record in Recruiterflow.
Action
Add candidate to jobAdds a candidate to a job's pipeline, under the Sourced stage by default or as Applied.
Action
Add contactCreates a contact in Recruiterflow and returns the new contact's id.
Action
Add dealCreates a new deal in Recruiterflow with its amount, stage, owner, linked contacts and custom field values.
Action
Get candidateReturns a candidate's full profile, including contact details, jobs, files, notes and custom fields.
Action
Get clientReturns a client company's full details, including contacts, open and closed jobs, notes and custom fields.
Action
Get contactReturns a contact's full record, including company, notes and custom fields.
Action
Get dealReturns the details of a single Recruiterflow deal, including its pipeline stage, owner, client company, amount and custom fields.
Action
List candidatesReturns all candidates in the Recruiterflow account, optionally with their files and notes.
Action
List contactsReturns the contacts in your Recruiterflow account with their details and custom fields.
Action
List jobsReturns the jobs in your Recruiterflow account, optionally only open ones, with their details and custom fields.
Action
List usersReturns all users in the Recruiterflow account, with their names, emails and roles.
Action
Update candidateUpdates an existing candidate in Recruiterflow. Any field you fill in replaces that field's current value; fields left blank are not changed.
Action
Update candidate stageMoves a candidate to a stage in a job's pipeline in Recruiterflow.
Action
Update clientUpdates an existing client company in Recruiterflow, including its details, location, tags and custom fields.
Action
Update contactUpdates an existing contact in Recruiterflow. Only the fields you fill in are changed; a filled-in field replaces its existing value.
Action
Update dealUpdates an existing Recruiterflow deal's name, amount, stage, dates, owner, linked contacts and custom fields.
Action
Update jobUpdates an existing job in Recruiterflow, such as its title, status, openings, salary range, locations, hiring team or custom fields.
Action
Add attributeCreates a new attribute in an Optimizely project, which can be used to target audiences.
Action
Add audienceAdds a new audience to an Optimizely project and returns the id of the audience that was created.
Action
Add campaignCreates a new personalization campaign in an Optimizely project and returns its id.
Action
Add experimentCreates a new experiment in an Optimizely project and returns its id.
Action
Add featureCreates a new feature flag in an Optimizely project. Works only with legacy Full Stack projects, and returns the id of the new feature.
Action
Add pageCreates a new page in an Optimizely project, defining the URL where experiments and campaigns can run and when it activates. Returns the created page.
Action
Add projectCreates a new Optimizely project in your account and returns the created project.
Action
Delete experimentArchives an Optimizely experiment by its ID. Optimizely keeps archived experiments rather than permanently removing them.
Action
Get audienceReturns a single Optimizely audience by its ID, including its name, targeting conditions and status. An error occurs if the audience is not found.
Action
Get campaignReturns a single Optimizely campaign by its ID, including its status, metrics, targeting and custom field values.
Action
Get experimentReturns a single experiment by its ID, including its status, variations, metrics and targeting. Fails if the experiment is not found.
Action
Get experiment resultsReturns the results of an Optimizely experiment, including metric performance per variation, reach and statistical significance, optionally limited to a time range or visitor segment.
Action
Get featureReturns a single feature by its ID, including its variables and its rollout rules in each environment. Works only with legacy Full Stack projects.
Action
Get projectReturns all the properties of a single Optimizely project, including its platform, status and web snippet settings.
Action
List attributesReturns all attributes in an Optimizely project, including their keys, names and archived status.
Action
List audiencesReturns the audiences in an Optimizely project, optionally filtered by archived or journey status.
Action
List campaignsReturns all campaigns in an Optimizely project, optionally narrowed by journey or archived status.
Action
List environmentsReturns all of the environments that have been created in an Optimizely project.
Action
List eventsReturns all events in an Optimizely project, including pageview events and, optionally, classic goals.
Action
List experimentsReturns all experiments in an Optimizely project or campaign.
Action
List featuresReturns all features created in an Optimizely project, including their variables and per-environment rollout rules.
Action
List pagesReturns the pages defined in an Optimizely project, optionally including single-use pages generated for campaign URL targeting.
Action
List projectsReturns all the projects in your Optimizely account, with their settings and status.
Action
Update campaignUpdates an existing Optimizely campaign's details, targeting and metrics, and can publish, start, pause, resume or unarchive it. Returns the updated campaign.
Action
Update experimentUpdates an Optimizely experiment's settings, such as its name, audiences, metrics, variations and schedule, and can optionally publish, start, pause, resume or unarchive it. Returns the updated experiment.
Action
Update featureUpdates an existing feature's name, key, description, variables, environment rollout rules or archived state, and returns the updated feature.
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
Recruiterflow and Optimizely, answered
What can start an automation from Recruiterflow?
Any of Recruiterflow's 6 triggers in the catalog, including Deal Stage Changed, New Candidate Created, New Contact Created and New Deal Created. Describe the moment in plain language and your agent picks the right one.
What can your agent do in Optimizely when something happens in Recruiterflow?
Any of Optimizely's 26 actions, including Update campaign, Update experiment, Update feature and Add attribute. Your agent maps the data both ways and tests every scenario before it ships.
Can it also run from Optimizely to Recruiterflow?
Optimizely has no triggers in the catalog today, so automations start in Recruiterflow. If you need the other direction, ask: your agent reads Optimizely's API documentation and adds it.
Do I have to build a connector for Recruiterflow or Optimizely?
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 Recruiterflow and Optimizely 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.