Integration
Connect Aura to Optimizely
When New Call fires in Aura, 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 Aura 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)Grok
Open grok.com/connectors, choose New Connector, then Custom, and paste the address. Grok signs you in in your browser.
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 Aura can start in Optimizely
When New Call in Aura
then Add page in Optimizely
When New Lead in Aura
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 Aura and Optimizely
Triggers and actions 3 triggers · 62 actions
Trigger
New CallTriggers when a new call is booked in Aura.
Trigger
New LeadTriggers when a new lead is added in Aura.
Trigger
New PaymentTriggers when a new payment is recorded in Aura.
Action
Add Lead NoteAdds a note to an Aura lead.
Action
Archive LeadArchives an Aura lead.
Action
Cancel CallCancels a booked Aura call.
Action
Create LeadCreates a new lead in Aura.
Action
Get CallReturns one Aura call by its ID.
Action
Get Call AnalysisReturns the AI analysis of an Aura call.
Action
Get Call Form AnswersReturns the booking-form answers submitted for an Aura call.
Action
Get Dashboard AnalyticsReturns Aura's dashboard analytics.
Action
Get LeadReturns one Aura lead by its ID.
Action
Get OpportunityReturns one Aura opportunity by its ID.
Action
Get PaymentReturns one Aura payment by its ID.
Action
Get ProductReturns one Aura product by its ID.
Action
Get Revenue AnalyticsReturns Aura revenue grouped by currency.
Action
Get SchedulerReturns one Aura scheduler by its ID.
Action
Get Scheduler AvailabilityReturns the bookable time slots of an Aura scheduler.
Action
Get Scheduler FieldsReturns the booking-form fields of an Aura scheduler.
Action
Get Team MemberReturns one Aura team member by its ID.
Action
Get Team PerformanceReturns a performance summary for the Aura team.
Action
List CallsReturns a page of Aura calls, optionally filtered.
Action
List Lead NotesReturns the notes on an Aura lead.
Action
List LeadsReturns a page of Aura leads, optionally filtered by status or pipeline stage.
Action
List OpportunitiesReturns a page of Aura opportunities.
Action
List PaymentsReturns a page of payments recorded in Aura.
Action
List ProductsReturns the products in the Aura account.
Action
List SchedulersReturns the schedulers (booking links) in the Aura account.
Action
List Team MembersReturns the team members in the Aura account.
Action
Qualify LeadChecks whether a lead would qualify for a scheduler and returns the result.
Action
Reassign Call CloserMoves a booked Aura call to a different closer.
Action
Record PaymentRecords a payment in Aura.
Action
Reschedule CallMoves a booked Aura call to a new time.
Action
Send Test WebhookSends a test event to an Aura webhook subscription and returns how its endpoint responded.
Action
Set Call OutcomeRecords the outcome of an Aura call (for example won, lost or no-show).
Action
Update CallUpdates an existing Aura call.
Action
Update LeadUpdates an existing Aura lead's details.
Action
Update PaymentUpdates a payment recorded in Aura.
Action
Verify PaymentMarks an Aura payment as verified.
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
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Questions
Aura and Optimizely, answered
What can start an automation from Aura?
Any of Aura's 3 triggers in the catalog, including New Call, New Lead and New Payment. Describe the moment in plain language and your agent picks the right one.
What can your agent do in Optimizely when something happens in Aura?
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 Aura?
Optimizely has no triggers in the catalog today, so automations start in Aura. 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 Aura 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 Aura 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.