Build solutions, not workarounds.
What do you want Vercel and Wasi 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)If you ship your listing sites on Vercel and run your agency on Wasi, this connection lets deployment activity in Vercel reach the people who work the listings. A new deployment or project in Vercel can create tasks on an agent's Wasi schedule, update a property record, or pull up the client behind the site.
Example flows
What Vercel can start in Wasi
When New Deployment in Vercel
then Add task in Wasi
When New Project in Vercel
then Add Contact in Wasi
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 Vercel and Wasi
Triggers and actions 2 triggers · 15 actions
Trigger
New DeploymentTriggers when a new deployment is created in Vercel.
Trigger
New ProjectTriggers when a new project is created in Vercel.
Action
Create DeploymentCreates a new deployment in Vercel from a Git source.
Action
Create ProjectCreates a new project in Vercel.
Action
Find ProjectSearches for a project by name.
Action
Add ContactRegisters a contact from a client in Wasi, creating the client if they do not already exist, and optionally associates them with a property.
Action
Add propertyCreates a new property listing in Wasi and returns its id.
Action
Add taskCreates a task (call, meeting, visit, etc.) in a Wasi user's schedule.
Action
Delete taskDeletes a task from a user's schedule in Wasi, identified by its id and assigned date.
Action
Get clientReturns a single Wasi client, including contact details, location, client types and tags.
Action
Get propertyReturns a single Wasi property by its id, including its location, prices, images and features.
Action
Get taskReturns one task from the Wasi schedule, including its type, status, assigned user and linked clients and properties.
Action
Get userReturns a Wasi user (employee) by id, including name, email, role and contact details.
Action
List tasksReturns the tasks on a user's Wasi schedule between a start and end date, optionally limited to one task type.
Action
List usersReturns all users (agents and administrators) of your Wasi company, with their email, type and profile details.
Action
Update propertyUpdates an existing Wasi property. Only the fields you fill in are changed.
Action
Update taskUpdates an existing task in the Wasi schedule, changing only the fields you fill in.
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
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Questions
Vercel and Wasi, answered
Can something in Wasi start an automation in Vercel?
No, Wasi only offers actions here, so every scenario begins with a Vercel trigger such as a new deployment or a new project. From there the agent can add, update or read tasks, properties, clients and users in Wasi.
How do I make sure a Wasi task goes to the right agent?
The agent can look up the person with Get user in Wasi before creating the task, so the task lands on that agent's schedule. It tests every scenario, including deployments where no matching Wasi user is found.
What can start an automation from Vercel?
Any of Vercel's 2 triggers in the catalog, including New Deployment and New Project. Describe the moment in plain language and your agent picks the right one.
What can your agent do in Wasi when something happens in Vercel?
Any of Wasi's 12 actions, including Add property, Add task, Get client and Update property. Your agent maps the data both ways and tests every scenario before it ships.
Can it also run from Wasi to Vercel?
Wasi has no triggers in the catalog today, so automations start in Vercel. If you need the other direction, ask: your agent reads Wasi's API documentation and adds it.
Do I have to build a connector for Vercel or Wasi?
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 Vercel and Wasi 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.