Integration
Connect Skyvern and Wonderchat
When New or Updated Skyvern Workflow fires in Skyvern, your agent runs Update Message Feedback in Wonderchat, or New Chatlog in Wonderchat to Create and Run a Task in Skyvern. 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 Skyvern and Wonderchat 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)Grok
Open grok.com/connectors, choose New Connector, then Custom, and paste the address. Grok signs you in in your browser.
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 Skyvern and Wonderchat can do together
From Skyvern to Wonderchat
When New or Updated Skyvern Workflow in Skyvern
then Update Message Feedback in Wonderchat
When New or Updated Skyvern Workflow in Skyvern
then Get Messages in Wonderchat
From Wonderchat to Skyvern
When New Chatlog in Wonderchat
then Create and Run a Task in Skyvern
When New Chatlog in Wonderchat
then Create and Run Task V2 in Skyvern
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 Skyvern and Wonderchat
Triggers and actions 2 triggers · 25 actions
Trigger
New or Updated Skyvern WorkflowTriggers when a Skyvern workflow (agent) is created or a new version of it is saved.
Action
Add browser sessionCreates a Skyvern browser session that persists across multiple task and workflow runs, and returns its session id and live-view link.
Action
Add credentialCreates a new stored credential (login, credit card or secret) in your Skyvern organization for use by tasks and agents.
Action
Add workflowCreates a new Skyvern workflow (agent) from a JSON or YAML definition and returns the saved workflow.
Action
Cancel runCancels a running Skyvern task run or workflow run by its id.
Action
Create and Run a TaskStarts a Skyvern browser-automation task from a plain-language prompt and returns the new run, including its id, status and link in the Skyvern app.
Action
Create and Run Task V2Starts a Skyvern 2.0 browser task from a natural-language prompt and returns the new run's id and status.
Action
Delete workflowDeletes a Skyvern workflow (agent) by its ID.
Action
Get a Browser SessionReturns the details of a Skyvern browser session, including its status, browser address for connecting, downloaded files and recordings.
Action
Get a TaskReturns a Skyvern task run by its id, including its status, extracted output, downloaded files, recording and screenshots.
Action
Get a Task V2Returns the status, output, recording and screenshots of a Skyvern task run.
Action
Get a WorkflowReturns a Skyvern workflow (agent) by its permanent id, including its blocks, parameters and settings.
Action
List credentialsReturns the credentials stored in your Skyvern organization, optionally filtered by vault, type or search text. Secrets are never included.
Action
List runsReturns your organization's task and agent runs, newest first, optionally filtered by status, run type, agent, tags, failure category or a search term.
Action
List workflowsReturns the workflows (agents) in your Skyvern organization, optionally filtered by search text, folder, status or tags. Returns up to 100 workflows.
Action
Run a WorkflowStarts a run of one of your Skyvern workflows (agents) with the parameters you supply, and returns the new run's id, status and link.
Trigger
New ChatlogTriggers when a new conversation (chatlog) starts on a Wonderchat chatbot.
Action
Add PagesAdds web pages to a Wonderchat chatbot's knowledge base.
Action
Add Tags to ChatlogAdds one or more tags to a Wonderchat chatlog.
Action
Ask QuestionAsks a Wonderchat chatbot a question and returns its answer, the conversation ID and the sources it used.
Action
Delete PagesRemoves web pages from a Wonderchat chatbot's knowledge base.
Action
Delete Tags from ChatlogRemoves one or more tags from a Wonderchat chatlog.
Action
Get MessagesReturns every message in a Wonderchat chatlog, user and bot, with timestamps.
Action
List ChatlogsReturns Wonderchat chatlogs, newest first, with contact details and message transcripts.
Action
Update Chat FeedbackSets a Wonderchat chatlog's feedback to Good or Bad.
Action
Update Chatlog InfoSets contact and lead details (name, email, phone, your own user ID) on a Wonderchat chatlog; fields left blank are not changed.
Action
Update Message FeedbackMarks a single Wonderchat bot message as helpful or not helpful, with an optional comment.
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
Skyvern and Wonderchat, answered
What can start an automation from Skyvern?
Any of Skyvern's 1 trigger in the catalog, including New or Updated Skyvern Workflow. Describe the moment in plain language and your agent picks the right one.
What can your agent do in Wonderchat when something happens in Skyvern?
Any of Wonderchat's 10 actions, including Update Chat Feedback, Update Chatlog Info, Update Message Feedback and Add Pages. Your agent maps the data both ways and tests every scenario before it ships.
Can it also run from Wonderchat to Skyvern?
Yes. When something happens in Wonderchat, your agent can act in Skyvern too. This page covers both directions: Wonderchat's triggers and Skyvern's actions are listed here as well.
Do I have to build a connector for Skyvern or Wonderchat?
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 Skyvern and Wonderchat 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.