Integration
Connect awork to Optimizely
When New Client fires in awork, 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 awork 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 awork can start in Optimizely
When New Client in awork
then Add page 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 awork and Optimizely
Triggers and actions 8 triggers · 47 actions
- New Client
Fires when a new company/client is created in awork. Poll/webhook on companies resource creation event.
- New Project
Triggers when a new project is created.
- New Task
Triggers when a new task is created. The trigger only fires for tasks with a project assigned, not for private tasks.
- New Time Entry
Triggers when a new time entry is created.
- Updated Client
Fires when an existing company/client is updated in awork. Poll/webhook on companies resource update event.
- Updated Project
Fires when a project is updated in the awork workspace.
- Updated Task
Triggers when a task is updated. The trigger only fires for tasks with a project assigned, not for private tasks.
- Updated Time Entry
Triggers when a time entry is updated.
- Create Client
Creates a client (company) in awork and returns the created company.
- Create Project
Creates a new project.
- Create Project Task
Creates a task in an awork project.
- Create Time Entry
Creates a time entry for a user, optionally against a project/task, using startDateUtc+duration or startDateUtc+endDateUtc.
- Delete Client
Deletes a client (company) in awork, optionally moving, detaching or deleting its linked projects and tasks.
- Delete Project
Deletes an awork project and its tasks, optionally deleting its time entries too.
- Delete Project Task
Deletes an awork task by id.
- Delete Time Entry
Deletes a time entry in awork.
- Find Project Tasks by criteria
Returns up to 100 tasks of a project that match the specified filter criteria.
- Find Time Entries by criteria
Returns up to 100 time entries in the workspace that match the specified filter criteria.
- Get Client by ID
Finds a client by id
- Get Project by ID
Finds a project by id
- Get Task by ID
Returns a single awork task (project or private task) by its id, including status, assignees, project, tags, lists and custom field values.
- Get Time Entry
Returns a single awork time entry by its id, including its task, project, user, type of work and breaks.
- Search Clients
Returns up to 100 clients (companies) whose name contains the specified text.
- Search Projects
Returns up to 100 projects whose name contains the specified text, optionally narrowed by an additional filter.
- Search Users by Email
Returns the awork users whose contact information includes the specified email address.
- Update Client
Updates an existing client (company) by ID. Fields left blank keep their current values.
- Update Project
Updates fields (name, status, workflow, etc) on an existing awork project.
- Update Project Task
Updates fields (name, status, assignee, due date, etc) on an existing awork task.
- Update Time Entry
Updates an existing awork time entry: its times or duration, type of work, project, task, note and billing flags.
- Add attribute
Creates a new attribute in an Optimizely project, which can be used to target audiences.
- Add audience
Adds a new audience to an Optimizely project and returns the id of the audience that was created.
- Add campaign
Creates a new personalization campaign in an Optimizely project and returns its id.
- Add experiment
Creates a new experiment in an Optimizely project and returns its id.
- Add feature
Creates a new feature flag in an Optimizely project. Works only with legacy Full Stack projects, and returns the id of the new feature.
- Add page
Creates a new page in an Optimizely project, defining the URL where experiments and campaigns can run and when it activates. Returns the created page.
- Add project
Creates a new Optimizely project in your account and returns the created project.
- Delete experiment
Archives an Optimizely experiment by its ID. Optimizely keeps archived experiments rather than permanently removing them.
- Get audience
Returns a single Optimizely audience by its ID, including its name, targeting conditions and status. An error occurs if the audience is not found.
- Get campaign
Returns a single Optimizely campaign by its ID, including its status, metrics, targeting and custom field values.
- Get experiment
Returns a single experiment by its ID, including its status, variations, metrics and targeting. Fails if the experiment is not found.
- Get experiment results
Returns the results of an Optimizely experiment, including metric performance per variation, reach and statistical significance, optionally limited to a time range or visitor segment.
- Get feature
Returns a single feature by its ID, including its variables and its rollout rules in each environment. Works only with legacy Full Stack projects.
- Get project
Returns all the properties of a single Optimizely project, including its platform, status and web snippet settings.
- List attributes
Returns all attributes in an Optimizely project, including their keys, names and archived status.
- List audiences
Returns the audiences in an Optimizely project, optionally filtered by archived or journey status.
- List campaigns
Returns all campaigns in an Optimizely project, optionally narrowed by journey or archived status.
- List environments
Returns all of the environments that have been created in an Optimizely project.
- List events
Returns all events in an Optimizely project, including pageview events and, optionally, classic goals.
- List experiments
Returns all experiments in an Optimizely project or campaign.
- List features
Returns all features created in an Optimizely project, including their variables and per-environment rollout rules.
- List pages
Returns the pages defined in an Optimizely project, optionally including single-use pages generated for campaign URL targeting.
- List projects
Returns all the projects in your Optimizely account, with their settings and status.
- Update campaign
Updates an existing Optimizely campaign's details, targeting and metrics, and can publish, start, pause, resume or unarchive it. Returns the updated campaign.
- Update experiment
Updates 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.
- Update feature
Updates 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
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Questions
awork and Optimizely, answered
What can start an automation from awork?
Any of awork's 8 triggers in the catalog, including New Client, New Project, New Task and New Time Entry. Describe the moment in plain language and your agent picks the right one.
What can your agent do in Optimizely when something happens in awork?
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 awork?
Optimizely has no triggers in the catalog today, so automations start in awork. 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 awork 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 awork 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.