Integration
Connect Willo to Optimizely
When List Users fires in Willo, 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 Willo 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 Willo can start in Optimizely
When List Users in Willo
then Add page in Optimizely
When List Users in Willo
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 Willo and Optimizely
Triggers and actions 1 trigger · 45 actions
Trigger
List UsersTriggers when a new user is added to your Willo account.
Action
Accept CandidateMarks a participant in a Willo interview as Accepted and returns the updated participant. Can also update the participant's name, phone number and custom ID in the same step.
Action
Add departmentCreates a new department in your Willo organisation and returns the department, including its key and branding.
Action
Add interview from templateCreates a new interview in Willo from one of your interview templates and returns the new interview.
Action
Create CompanyCreates a new company as a child organisation under your Willo organisation, with the owner you name.
Action
Create InterviewCreates a new video interview in Willo with its questions, department, message templates and settings.
Action
Delete interviewDeletes an interview from your Willo account.
Action
Delete participantDeletes a participant from Willo. Returns whether the deletion was confirmed.
Action
Get interviewReturns a Willo interview by its key, including its questions, owner, department, reviewers, message templates and settings. An error occurs if the interview is not found.
Action
Get participantReturns a Willo participant (candidate) with their contact details, status, interview, department, scores and answers.
Action
Get userReturns a Willo user's details, including email, full name, phone, role and status.
Action
Invite SomeoneInvites a person to a Willo interview as a participant and returns the new participant with their invite link.
Action
List departmentsReturns the departments in your Willo organisation, optionally filtered by name, owner email or owner.
Action
List interviewsReturns the interviews in your Willo account, optionally narrowed by department, owner or a search term, and sorted the way you choose.
Action
List message templatesReturns the message templates (email and SMS) in your Willo account, optionally filtered by title, type or trigger.
Action
List participantsReturns the participants in your Willo account, optionally narrowed to an interview, department or owner, or by a text search.
Action
List usersReturns the users in your Willo account with their key, email and full name.
Action
Reject CandidateRejects a candidate by setting the participant's status to Rejected, optionally updating their name, phone or custom ID.
Action
Update interviewUpdates an existing interview's details, questions, reviewers, message templates and settings, changing only the values you provide. Returns the updated interview.
Action
Update participantUpdates a participant's name, phone, status (Accepted or Rejected) or your own reference ID.
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
Willo and Optimizely, answered
What can start an automation from Willo?
Any of Willo's 1 trigger in the catalog, including List Users. Describe the moment in plain language and your agent picks the right one.
What can your agent do in Optimizely when something happens in Willo?
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 Willo?
Optimizely has no triggers in the catalog today, so automations start in Willo. 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 Willo 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 Willo 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.