Integration
Connect Clockwork Recruiting to Optimizely
When New Candidacy fires in Clockwork Recruiting, 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 Clockwork Recruiting 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 Clockwork Recruiting can start in Optimizely
When New Candidacy in Clockwork Recruiting
then Add page in Optimizely
When New Person Record in Clockwork Recruiting
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 Clockwork Recruiting and Optimizely
Triggers and actions 6 triggers · 77 actions
Trigger
Candidate Status ChangeTriggers when a candidate's status changes on the chosen project.
Trigger
New CandidacyTriggers when a new candidate is added to the chosen project.
Trigger
New Person RecordTriggers when a new person record is added to your Clockwork firm.
Trigger
Updated CandidacyTriggers when any candidacy on the chosen project is updated.
Trigger
Updated Person RecordTriggers when a person record in your Clockwork firm is updated.
Trigger
Updated Person With VerbosityTriggers when a person record is updated, returning the person with their preferred email, phone, LinkedIn, address, primary position and tags.
Action
Create Person WebsiteCreate Person Website
Action
Delete a CandidateReturn status message
Action
Delete a PersonDelete Person.
Action
Delete a Person AddressDelete Address.
Action
Delete a Person AttachmentDelete attachment.
Action
Delete a Person CompensationDelete Compensation.
Action
Delete a Person EmailDelete EmailAddress.
Action
Delete a Person LinkedinDelete LinkedinUrl.
Action
Delete a Person NoteDelete Note.
Action
Delete Person EducationDelete Education.
Action
Delete Person Phone NumberDelete Phone Number.
Action
Delete Person PositionDelete Position.
Action
Delete Person WebsiteDelete Web Site.
Action
Find a CandidateReturns a single candidacy and the associated metadata.
Action
Find a CompanyReturns a single company and the associated metadata.
Action
Find a PersonReturns a single person and the associated metadata.
Action
Find a Person AddressReturns a single address and the associated metadata.
Action
Find a Person AttachmentReturns a single attachment.
Action
Find a Person CompensationReturns a single compensation and the associated metadata.
Action
Find a Person EmailReturns a single email address and the associated metadata.
Action
Find a Person NoteReturns a single note and the associated metadata.
Action
Find a ProjectReturns a single project and the associated metadata.
Action
Find a Project AdminReturns the project settings
Action
Find a Project ClientReturns a single client and the associated metadata.
Action
Find a Project UserReturns a single user and the associated metadata.
Action
Find a SchoolReturns a single school and the associated metadata.
Action
Find a TagReturns a single tag and the associated metadata.
Action
Find Person EducationReturns a single education and the associated metadata.
Action
Find Person LinkedinReturns a single linkedin_url and the associated metadata.
Action
Find Person Phone NumberReturns a single phone_number and the associated metadata.
Action
Find Person PositionReturns a single position and the associated metadata.
Action
Find Person WebsiteReturns a single web site and the associated metadata.
Action
Get All CompaniesReturns paginated companies data. Optionally filter the list by `name`, `do_not_contact`, and/or `associated_to_project`. Filters can be combined; omitting all of them returns every company.
Action
Get All PeopleReturns the list of all People of a Firm
Action
Get All SchoolsReturns paginated schools data
Action
Get All TagsReturns the tags defined in your Clockwork firm.
Action
People SearchReturns the list of all People of a Firm
Action
Update a CandidateReturn updated candidate
Action
Update a CompanyReturns a single company and the associated metadata.
Action
Update a Person EducationReturns a single education and the associated metadata.
Action
Update a TagReturns a single tag and the associated metadata.
Action
Update PersonReturns a single person and the associated metadata.
Action
Update Person AddressReturns a single address and the associated metadata.
Action
Update Person CompensationReturns a single compensation and the associated metadata.
Action
Update Person EmailReturns a single email address and the associated metadata.
Action
Update Person LinkedinReturns a single linkedin_url and the associated metadata.
Action
Update Person NoteReturns a single note and the associated metadata.
Action
Update Person Phone NumberReturns a single phone_number and the associated metadata.
Action
Update Person PositionReturns a single position and the associated metadata.
Action
Update Person WebsiteReturns a single web site and the associated metadata.
Action
Update SchoolReturns a single school and the associated metadata.
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
Clockwork Recruiting and Optimizely, answered
What can start an automation from Clockwork Recruiting?
Any of Clockwork Recruiting's 6 triggers in the catalog, including New Candidacy, New Person Record, Updated Candidacy and Updated Person Record. Describe the moment in plain language and your agent picks the right one.
What can your agent do in Optimizely when something happens in Clockwork Recruiting?
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 Clockwork Recruiting?
Optimizely has no triggers in the catalog today, so automations start in Clockwork Recruiting. 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 Clockwork Recruiting 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 Clockwork Recruiting 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.