Integration
Connect Pipeliner to Markup AI
When something happens in Pipeliner, your agent does the next thing in Markup AI. Describe it 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 Markup AI 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 Markup AI
When New account in Pipeliner
then Add domain in Markup AI
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 Markup AI
Triggers and actions 5 triggers · 40 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 domain
Create a brand-terms domain.
- Add term
Adds a preferred or prohibited term to a Markup AI term set.
- Add term set
Create a new term set in Markup AI terminology, optionally with initial terms and linked domains.
- Cancel agent workflow
Cancel a running Markup AI agent workflow.
- Delete domain
Deletes a terminology domain.
- Delete term
Delete a term.
- Delete term set
Deletes a term set from your Markup AI terminology.
- Get agent
Get an agent's metadata by its ID.
- Get agent workflow status
Get the status and result of an agent workflow.
- Get style guide
Get a style guide's full configuration, including its goals, goal groups and guidelines.
- Get term
Retrieves a single term from a term set.
- Get term set
Get a brand-terms term set by id.
- List agent categories
List all available agent categories.
- List agents
Lists the Markup AI agents your organization can run, optionally filtered by category.
- List agent workflows
Lists agent workflow executions, optionally filtered by status, agent, or creation time. Returns up to 100 workflows.
- List domains
Lists the terminology domains in the Markup AI account, optionally filtered by name. Returns up to 100 domains.
- List style guides
Lists the style guides available to your organization.
- List term sets
Returns all term sets, with their terms and domains.
- Run Content Analysis Agents
Runs a Markup AI content agent (for example Brand Voice, Style, Claims or Freshness) against a piece of text and returns the resulting workflow, including the analysis result when the run is set to wait for completion.
- Update domain
Updates an existing terminology domain by ID.
- Update term
Updates an existing term in a term set by ID.
- Update term set
Update a brand-terms term set.
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 Markup AI, 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 Markup AI when something happens in Pipeliner?
Any of Markup AI's 22 actions, including Update domain, Update term, Update term set and Add domain. Your agent maps the data both ways and tests every scenario before it ships.
Can it also run from Markup AI to Pipeliner?
Markup AI has no triggers in the catalog today, so automations start in Pipeliner. If you need the other direction, ask: your agent reads Markup AI's API documentation and adds it.
Do I have to build a connector for Pipeliner or Markup AI?
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.