How to Use the Typebot MCP in Cursor

Q: How do I list Typebot folders when using Cursor?

To see how your bots are organized, call listfolders. This function provides a quick map of related bot groups within the workspace. It's essential for understanding project scope.

Q: What tool should I use to get specific Typebot information in Cursor?

Use gettypebotdetails. This function pulls all the technical logic and structure of a single bot, giving your agent enough context to write accurate consuming code.

Q: If I need to deploy changes to Typebot from Cursor, what do I run?

You use publishtypebot. This function takes the unique bot ID and pushes the latest development changes live. You'll want this before running integration tests.

Q: Can I list all Typebot workspaces using Cursor?

Yes, run listworkspaces. It lists every accessible container for your conversational bots, letting you scope your development correctly within the project environment.

Inject live Typebot capabilities directly into code using Cursor's Agent mode.

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Connect Typebot MCP to Cursor

Create your Vinkius account to connect Typebot to Cursor and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Typebot with Cursor

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Interacting with Bot Flows

Your AI client can use `start_chat_session` to simulate bot interactions. This means you can test conversational logic right inside your code editor without leaving it. The agent gets a live API response—not mock data—so the code you write is based on real Typebot behavior.

Managing Bot Structure

Need to know what bots exist in a project scope? Run `list_typebots` and filter by your workspace ID. This provides immediate context for refactoring or building new code that depends on bot existence. It keeps your entire codebase current with the available conversational tools.

Analyzing Bot Outputs

When a bot gathers data, you don't want to manually check it. Call `list_typebot_results` and inject those results directly into your script. Your code then processes real-world user input. This makes the data available for immediate use in testing or build steps.

Setup guide

Set up Typebot MCP in Cursor

Prerequisites

Cursor installed (macOS, Windows, or Linux)
Active Vinkius subscription with a valid endpoint token

1

Open MCP Settings

Go to Cursor Settings → MCP or open the Command Palette (Cmd+Shift+P / Ctrl+Shift+P) and search for "MCP: Add Server".
2

Add the Typebot MCP

Cursor will create or open .cursor/mcp.json in your project root. Paste the JSON snippet on the right. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.
3

Enable Agent mode

Open Composer (Cmd+I / Ctrl+I) and switch to Agent mode using the dropdown at the top. MCP tools are only available in Agent mode.
4

Verify the connection

Ask Cursor something like "List my recent Typebot transactions." If the MCP tools are loaded correctly, Cursor will call the Typebot tools automatically. You can also check Settings → MCP for a green status indicator.

.cursor/mcp.json

{
  "mcpServers": {
    "typebot-mcp": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Typebot. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about Typebot MCP in Cursor

To see how your bots are organized, call `list_folders`. This function provides a quick map of related bot groups within the workspace. It's essential for understanding project scope.

Use `get_typebot_details`. This function pulls all the technical logic and structure of a single bot, giving your agent enough context to write accurate consuming code.

You use `publish_typebot`. This function takes the unique bot ID and pushes the latest development changes live. You'll want this before running integration tests.

Yes, run `list_workspaces`. It lists every accessible container for your conversational bots, letting you scope your development correctly within the project environment.

The server touches user responses and conversation logs (data type: collected user responses). Because you're working in a local code editor, the context of this data remains scoped to your project.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

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