Integration
Connect Cursor to Landbot
When Agent Pull Request Created fires in Cursor, your agent runs Assign customer to agent in Landbot. 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 Cursor and Landbot 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 Cursor can start in Landbot
When Agent Pull Request Created in Cursor
then Assign customer to agent in Landbot
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 Cursor and Landbot
Triggers and actions 3 triggers · 26 actions
- Agent Pull Request Created
Triggers when the selected Cursor cloud agent opens a new GitHub pull request.
- Agent Status Equals
Triggers when a run on the chosen Cursor agent reaches the status you select, such as Finished or Error.
- New Agent
Triggered when a new Cursor cloud agent is created.
- Add Followup Instruction to Agent
Sends a follow-up instruction to an existing Cursor cloud agent, either starting a new run or steering the run in progress. Returns the new run or how the steer was delivered.
- Cancel run
Cancels the active run of a Cursor cloud agent. The run ends in the Cancelled state; start a new run to continue the conversation.
- Delete Agent
Permanently deletes a Cursor cloud agent. This cannot be undone. Returns the ID of the deleted agent.
- Find Agent Status
Looks up a Cursor cloud agent by its ID and returns its status, name, repositories, latest run and link.
- Get run
Returns the status, timestamps, duration, final reply and pushed branches for one run of a Cursor cloud agent.
- Launch Agent
Creates a Cursor cloud agent and immediately starts its first run on the task you describe. Returns the new agent and its run.
- List agents
Returns the Cursor cloud agents for the connected user, newest first, optionally filtered by pull request URL.
- List artifacts
Returns the files a Cursor cloud agent has produced, with each file's path, size and last modified time. Returns at most 100 artifacts.
- List models
Returns the recommended Cursor models you can choose from when creating an agent, including their names, aliases, parameters and variants.
- List repositories
Returns the GitHub repositories the connected Cursor user can access through Cursor's GitHub App installation.
- List runs
Returns the runs of a Cursor cloud agent, newest first, including each run's status, duration, and final reply.
- Archive customer
Archives a Landbot customer so their conversation moves out of the active inbox.
- Assign customer to agent
Assigns a Landbot customer conversation to a specific agent.
- Assign customer to bot
Assigns a Landbot customer to a bot, optionally starting the bot right away or from a specific node.
- Delete customer
Deletes a Landbot customer.
- Find customers by name, email or phone
Finds customers whose name, email or phone starts with the text you give. Returns up to 100 matching customers.
- Get channel
Returns a Landbot channel's details, including its name, type, active status and appearance settings.
- Get customer
Returns a Landbot customer's profile, including name, channel, assigned agent, archive status and custom field values.
- Get customer field
Returns the name, type and current value of one custom field stored on a Landbot customer.
- List channels
Returns the channels in your Landbot workspace, optionally filtered by type and active status.
- List customer messages
Returns the full conversation transcript for a Landbot customer — every message exchanged with them.
- List customers
Returns the customers in your Landbot workspace, optionally filtered by channel, assigned agent, archive or WhatsApp opt-in status, or a name/email/phone prefix.
- List WhatsApp templates
Returns the WhatsApp message templates available to send to customers, optionally limited to one channel.
- Send text message
Sends a text message to a Landbot customer on their channel.
- Send WhatsApp template
Sends an approved WhatsApp template message to a Landbot customer, filling in its placeholders. Use it to reach a customer outside WhatsApp's 24-hour messaging window.
- Update customer field
Changes the value of an existing custom field on a Landbot customer. The field must already exist on the customer.
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
Cursor and Landbot, answered
What can start an automation from Cursor?
Any of Cursor's 3 triggers in the catalog, including Agent Pull Request Created, New Agent and Agent Status Equals. Describe the moment in plain language and your agent picks the right one.
What can your agent do in Landbot when something happens in Cursor?
Any of Landbot's 15 actions, including Send text message, Send WhatsApp template, Update customer field and Assign customer to agent. Your agent maps the data both ways and tests every scenario before it ships.
Can it also run from Landbot to Cursor?
Landbot has no triggers in the catalog today, so automations start in Cursor. If you need the other direction, ask: your agent reads Landbot's API documentation and adds it.
Do I have to build a connector for Cursor or Landbot?
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 Cursor and Landbot 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.