Integration
Connect Cursor and Looker
When Agent Pull Request Created fires in Cursor, your agent runs Create Credentials - Email in Looker, or New Dashboard in Looker to Add Followup Instruction to Agent in Cursor. 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 Cursor and Looker 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 Cursor and Looker can do together
From Cursor to Looker
When Agent Pull Request Created in Cursor
then Create Credentials - Email in Looker
When New Agent in Cursor
then Create Render Task in Looker
From Looker to Cursor
When New Dashboard in Looker
then Add Followup Instruction to Agent in Cursor
When New Look in Looker
then Launch Agent in Cursor
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 Cursor and Looker
Triggers and actions 6 triggers · 30 actions
Trigger
Agent Pull Request CreatedTriggers when the selected Cursor cloud agent opens a new GitHub pull request.
Trigger
Agent Status EqualsTriggers when a run on the chosen Cursor agent reaches the status you select, such as Finished or Error.
Trigger
New AgentTriggered when a new Cursor cloud agent is created.
Action
Add Followup Instruction to AgentSends a follow-up instruction to an existing Cursor cloud agent, either starting a new run or steering the run in progress. Returns the new run or how the steer was delivered.
Action
Cancel runCancels the active run of a Cursor cloud agent. The run ends in the Cancelled state; start a new run to continue the conversation.
Action
Delete AgentPermanently deletes a Cursor cloud agent. This cannot be undone. Returns the ID of the deleted agent.
Action
Find Agent StatusLooks up a Cursor cloud agent by its ID and returns its status, name, repositories, latest run and link.
Action
Get runReturns the status, timestamps, duration, final reply and pushed branches for one run of a Cursor cloud agent.
Action
Launch AgentCreates a Cursor cloud agent and immediately starts its first run on the task you describe. Returns the new agent and its run.
Action
List agentsReturns the Cursor cloud agents for the connected user, newest first, optionally filtered by pull request URL.
Action
List artifactsReturns the files a Cursor cloud agent has produced, with each file's path, size and last modified time. Returns at most 100 artifacts.
Action
List modelsReturns the recommended Cursor models you can choose from when creating an agent, including their names, aliases, parameters and variants.
Action
List repositoriesReturns the GitHub repositories the connected Cursor user can access through Cursor's GitHub App installation.
Action
List runsReturns the runs of a Cursor cloud agent, newest first, including each run's status, duration, and final reply.
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
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 Render Task ResultsReturns the image or PDF file produced by a completed render task.
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 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.
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
Cursor and Looker, answered
What can start an automation from Cursor?
Any of Cursor's 3 triggers in the catalog, including Agent Pull Request Created, New Agent and Agent Status Equals. Describe the moment in plain language and your agent picks the right one.
What can your agent do in Looker when something happens in Cursor?
Any of Looker's 19 actions, including Create Credentials - Email, Create Render Task, Create User and Send Password Reset or Account Setup Email. Your agent maps the data both ways and tests every scenario before it ships.
Can it also run from Looker to Cursor?
Yes. When something happens in Looker, your agent can act in Cursor too. This page covers both directions: Looker's triggers and Cursor's actions are listed here as well.
Do I have to build a connector for Cursor or Looker?
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 Cursor and Looker 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.