Integration
Connect Pipeliner to AI Engine
When New account fires in Pipeliner, your agent runs Add facial repository in AI Engine. 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 AI Engine 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 AI Engine
When New account in Pipeliner
then Add facial repository in AI Engine
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 AI Engine
Triggers and actions 5 triggers · 26 actions
- New account
Fires when a new Account is created in Pipeliner.
- New contact
Fires when a new Contact is created in Pipeliner.
- New lead
Fires when a new Lead is created in Pipeliner.
- New opportunity
Fires when a new Opportunity is created in Pipeliner.
- Updated opportunity
Fires when an Opportunity is updated in Pipeliner.
- Add account
Adds a new account
- Add contact
Create a new Contact record.
- Add lead
Create a new Lead record.
- Add note
Adds a note to an account, contact, lead, opportunity, project, quote or custom entity record in Pipeliner.
- Add opportunity
Create a new Opportunity record.
- Add product
Create a new Product record.
- Delete account
Deletes a Pipeliner account by its id.
- Delete contact
Remove Contact with given id.
- Find accounts by name
Returns up to 30 accounts whose name matches the specified name.
- Find contacts by email
Returns up to 30 contacts whose primary email matches the specified email.
- Get account
Retrieves a single account by its id.
- Get contact
Return Contact with given id.
- Get lead
Return Lead with given id.
- Get opportunity
Return Opportunity with given id.
- Update account
Update an existing Account record.
- Update contact
Update an existing Contact record.
- Update lead
Update an existing Lead record.
- Update opportunity
Update an existing Opportunity record.
- Add facial repository
Creates a new facial repository for storing and searching faces.
- Analyze faces
Analyzes the faces in an image and returns attributes such as estimated age, gender and emotions.
- Compare faces
Compares the face in a source image with the faces in a target image and returns how similar they are.
- Detect labels
Detects and categorizes the content of an image, returning labels with confidence scores.
- Detect objects
Detects and locates objects in an image, returning their labels, confidence scores and bounding boxes.
- Detect unsafe content
Checks an image for explicit or unsafe content and returns the moderation labels with confidence scores.
- Extract text from image
Extracts the text found in an image (OCR), including handwriting, receipts and complex layouts in 100+ languages.
- Extract text from PDF
Extracts the text from a PDF document, optionally limited to a range of pages.
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 AI Engine, 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 AI Engine when something happens in Pipeliner?
Any of AI Engine's 8 actions, including Add facial repository, Analyze faces, Compare faces and Detect labels. Your agent maps the data both ways and tests every scenario before it ships.
Can it also run from AI Engine to Pipeliner?
AI Engine has no triggers in the catalog today, so automations start in Pipeliner. If you need the other direction, ask: your agent reads AI Engine's API documentation and adds it.
Do I have to build a connector for Pipeliner or AI Engine?
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.