Integration
Connect v0.dev to Pipeless Recommendations
When New Chat fires in v0.dev, your agent runs Create Event in Pipeless Recommendations. 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 v0.dev and Pipeless Recommendations 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 v0.dev can start in Pipeless Recommendations
When New Chat in v0.dev
then Create Event in Pipeless Recommendations
When New Project in v0.dev
then Create Events (With Line Item Support) in Pipeless Recommendations
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 v0.dev and Pipeless Recommendations
Triggers and actions 2 triggers · 20 actions
Trigger
New ChatTriggers when a new chat is created.
Trigger
New ProjectTriggers when a new project is created.
Action
Create ChatCreate a new chat with v0 to generate code, components, or applications.
Action
Create ProjectCreates a new v0 project with an optional description, icon, environment variables, and instructions. Projects help organize chats and manage context.
Action
Delete ChatDeletes an existing v0 chat using its chatId. This action is irreversible and will remove the chat and all associated data.
Action
Delete ProjectDeletes an existing v0 project using its projectId. This action is irreversible and will remove the project and all associated data.
Action
Get chatRetrieve a chat by id.
Action
Get projectRetrieve a project by id.
Action
List chat messagesList messages in a chat.
Action
List chatsList all chats.
Action
List projectsList all projects.
Action
Send MessageSend a message to an existing chat in v0.
Action
Update ChatUpdates the metadata of an existing chat using its chatId. Supports changes to the chat name and privacy setting.
Action
Update ProjectUpdates the metadata of an existing project using its projectId. Supports changes to the project name, description, instructions, and privacy setting.
Action
Create EventCreates a single event linking a start object to an end object through a relationship (for example, a user who liked a post) in your Pipeless app.
Action
Create Events (With Line Item Support)Creates up to 10 events in one call, such as several line items a user purchased.
Action
Delete eventDeletes the event(s) matching a start object, relationship type and end object.
Action
Delete objectDeletes an object and all the relationships and events connected to it.
Action
Get Activity on ObjectReturns the activity that has taken place on an object, such as who followed or liked it.
Action
Get objectReturns basic info (type, created and modified dates) for a single Pipeless object.
Action
List recent eventsReturns the most recent events (user–relationship–object interactions) that have been sent to your Pipeless app.
Action
Update objectUpdates an existing Pipeless object's id or its created/modified timestamps.
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
v0.dev and Pipeless Recommendations, answered
What can start an automation from v0.dev?
Any of v0.dev's 2 triggers in the catalog, including New Chat and New Project. Describe the moment in plain language and your agent picks the right one.
What can your agent do in Pipeless Recommendations when something happens in v0.dev?
Any of Pipeless Recommendations's 8 actions, including Create Event, Create Events (With Line Item Support), Update object and Get Activity on Object. Your agent maps the data both ways and tests every scenario before it ships.
Can it also run from Pipeless Recommendations to v0.dev?
Pipeless Recommendations has no triggers in the catalog today, so automations start in v0.dev. If you need the other direction, ask: your agent reads Pipeless Recommendations's API documentation and adds it.
Do I have to build a connector for v0.dev or Pipeless Recommendations?
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 v0.dev and Pipeless Recommendations 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.