Integration
Connect Pipeliner to Browserbase
When New account fires in Pipeliner, your agent runs Fetch page in Browserbase. 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 Pipeliner and Browserbase to do together?
Ask the assistant
Connect your AI client
Give your AI client this address.
https://mcp.apiant.aiAny 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 Pipeliner can start in Browserbase
When New account in Pipeliner
then Fetch page in Browserbase
When New contact in Pipeliner
then Add context in Browserbase
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 Pipeliner and Browserbase
Triggers and actions 5 triggers · 30 actions
Trigger
New accountFires when a new Account is created in Pipeliner.
Trigger
New contactFires when a new Contact is created in Pipeliner.
Trigger
New leadFires when a new Lead is created in Pipeliner.
Trigger
New opportunityFires when a new Opportunity is created in Pipeliner.
Trigger
Updated opportunityFires when an Opportunity is updated in Pipeliner.
Action
Add accountAdds a new account
Action
Add contactCreate a new Contact record.
Action
Add leadCreate a new Lead record.
Action
Add noteAdds a note to an account, contact, lead, opportunity, project, quote or custom entity record in Pipeliner.
Action
Add opportunityCreate a new Opportunity record.
Action
Add productCreate a new Product record.
Action
Delete accountDeletes a Pipeliner account by its id.
Action
Delete contactRemove Contact with given id.
Action
Find accounts by nameReturns up to 30 accounts whose name matches the specified name.
Action
Find contacts by emailReturns up to 30 contacts whose primary email matches the specified email.
Action
Get accountRetrieves a single account by its id.
Action
Get contactReturn Contact with given id.
Action
Get leadReturn Lead with given id.
Action
Get opportunityReturn Opportunity with given id.
Action
Update accountUpdate an existing Account record.
Action
Update contactUpdate an existing Contact record.
Action
Update leadUpdate an existing Lead record.
Action
Update opportunityUpdate an existing Opportunity record.
Action
Add contextCreates a new browser Context that persists cookies and storage across Browserbase sessions.
Action
Add sessionCreates a new Browserbase browser session and returns its id along with the URLs used to connect to it.
Action
Delete contextDeletes a browser context (saved cookies and browser state) from your Browserbase project.
Action
Fetch pageFetches a web page through Browserbase and returns its content (raw, markdown, or schema-extracted JSON), status code and headers.
Action
Get contextReturns a Browserbase context (saved browser state) by its id, including its name, project and timestamps.
Action
Get runReturns the current status and details of an agent run, including its result and the browser session it used.
Action
Get sessionReturns a Browserbase browser session, including its status, region, timestamps and connection URLs.
Action
List downloadsReturns the files downloaded during a Browserbase session, optionally filtered by filename, MIME type, size or creation time.
Action
List sessionsReturns the browser sessions in your Browserbase project, optionally filtered by status or by user metadata.
Action
Run agentStarts a Browserbase browser agent run that completes a natural-language task using web search and browser tools. Returns the new run, which starts in a pending state.
Action
Search webRuns a web search through Browserbase and returns the matching pages with their titles and URLs.
Action
Update sessionUpdates a Browserbase session, such as requesting that it be released before its timeout to stop further charges.
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
Pipeliner and Browserbase, answered
What can start an automation from Pipeliner?
Any of Pipeliner's 5 triggers in the catalog, including New account, New contact, New lead and New opportunity. Describe the moment in plain language and your agent picks the right one.
What can your agent do in Browserbase when something happens in Pipeliner?
Any of Browserbase's 12 actions, including Update session, Add context, Add session and Fetch page. Your agent maps the data both ways and tests every scenario before it ships.
Can it also run from Browserbase to Pipeliner?
Browserbase has no triggers in the catalog today, so automations start in Pipeliner. If you need the other direction, ask: your agent reads Browserbase's API documentation and adds it.
Do I have to build a connector for Pipeliner or Browserbase?
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.
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.