Integration
Connect Looker and Targetprocess
When New Dashboard fires in Looker, your agent runs Create Task in Targetprocess, or New Bug in Targetprocess to Create Credentials - Email in Looker. 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 Looker and Targetprocess 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 Looker and Targetprocess can do together
From Looker to Targetprocess
When New Dashboard in Looker
then Create Task in Targetprocess
When New Look in Looker
then Create User Story in Targetprocess
From Targetprocess to Looker
When New Bug in Targetprocess
then Create Credentials - Email in Looker
When New Build in Targetprocess
then Create Render Task in Looker
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 Looker and Targetprocess
Triggers and actions 14 triggers · 28 actions
Trigger
New DashboardTriggers when a new dashboard is created in Looker.
Trigger
New LookTriggers when a new Look is saved in Looker.
Trigger
New UserTriggers when a new user is added to Looker.
Action
Add GroupCreates a new user group in Looker (admin only).
Action
Add Role(s) to UserSets the roles assigned directly to a Looker user, replacing their current direct roles.
Action
Add Scheduled PlanCreates a scheduled plan that delivers a Look, dashboard, LookML dashboard or query to one or more destinations on a recurring schedule.
Action
Add User to GroupAdds a user to a Looker group.
Action
Create Credentials - EmailAdds an email login to a Looker user.
Action
Create Render TaskStarts rendering a Look to an image or PDF; use Get Render Task Results with the returned ID once it finishes.
Action
Create UserCreates a new user in Looker with the given name and details.
Action
Delete UserDeletes a user from Looker.
Action
Execute SQL QueryCreates a SQL Runner query on a Looker connection and returns its slug for running.
Action
Find UserFinds Looker users matching an email or name.
Action
Get DashboardReturns the full details of a Looker dashboard, including its tiles, filters and layouts.
Action
Get LookReturns a saved Look's details, including its title, folder, owner, URLs and the query behind it.
Action
Get UserReturns a Looker user's details by user ID, including name, email, roles, groups and credentials.
Action
List DashboardsReturns all active dashboards in your Looker instance with summary details such as id, title and folder.
Action
List GroupsReturns the user groups in your Looker instance, optionally filtered by ID or content access.
Action
List LooksReturns all active Looks the connected user has access to, with their titles, folders and owners.
Action
Run inline queryRuns a query defined on the spot (model, explore, fields, filters) and returns its results in the chosen format.
Action
Run LookRuns a saved Look and returns its result rows.
Action
Send Password Reset or Account Setup EmailSends a Looker user a password reset email, or an account setup email if they have not set up their account yet.
Action
Update UserUpdates a Looker user's name, home folder, locale or disabled status, and returns the updated user.
Trigger
New BugTriggers when a new Bug is added in Targetprocess.
Trigger
New BuildTriggers when a new Build is added in Targetprocess.
Trigger
New CommentTriggers when a new Comment is added in Targetprocess.
Trigger
New FeatureTriggers when a new Feature is added in Targetprocess.
Trigger
New IterationTriggers when a new Iteration is added in Targetprocess.
Trigger
New ReleaseTriggers when a new Release is added in Targetprocess.
Trigger
New RequestTriggers when a new Request is added in Targetprocess.
Trigger
New TaskTriggers when a new Task is added in Targetprocess.
Trigger
New Team IterationTriggers when a new Team Iteration is added in Targetprocess.
Trigger
New TimeTriggers when a new Time record is added in Targetprocess.
Trigger
New User StoryTriggers when a new User Story is added in Targetprocess.
Action
Add Requester to RequestCreates a Requester and attaches them to an existing Request.
Action
Change StateChanges the workflow state of an existing entity.
Action
Create BugCreates a new Bug in a Targetprocess project.
Action
Create BuildCreates a Build in a Targetprocess project.
Action
Create FeatureCreates a Feature, a high-level requirement that groups User Stories.
Action
Create RequestCreates a Request (an idea, issue or question from users).
Action
Create TaskCreates a Task under an existing User Story.
Action
Create User StoryCreates a User Story in a project.
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
Looker and Targetprocess, answered
What can start an automation from Looker?
Any of Looker's 3 triggers in the catalog, including New Dashboard, New Look and New User. Describe the moment in plain language and your agent picks the right one.
What can your agent do in Targetprocess when something happens in Looker?
Any of Targetprocess's 8 actions, including Create Bug, Create Build, Create Feature and Create Request. Your agent maps the data both ways and tests every scenario before it ships.
Can it also run from Targetprocess to Looker?
Yes. When something happens in Targetprocess, your agent can act in Looker too. This page covers both directions: Targetprocess's triggers and Looker's actions are listed here as well.
Do I have to build a connector for Looker or Targetprocess?
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 Looker and Targetprocess 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.