How to Use the Ada MCP in Cursor

Q: Can Cursor automatically update my Ada knowledge base?

Yes, you can use the createarticle tool within Cursor to push new documentation directly from your workspace. Your agent can read your local code changes and draft the corresponding support article for you.

Q: How do I debug failed Ada webhooks inside Cursor?

Run the listconversations tool to pull the exact chat history that triggered the error. Your Cursor agent can analyze the payload and help you write a patch immediately.

Q: Can I fetch user metadata?

The getenduser tool pulls custom variables and user profiles directly into your editor. This makes it easy to verify how your backend handles different customer tiers.

Write code that reacts to live Ada support tickets and updates help articles directly inside your Cursor editor.

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Connect Ada MCP to Cursor

Create your Vinkius account to connect Ada 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 Ada with Cursor

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Debug live Ada chat pipelines in Cursor

The `list_conversations` tool fetches real-time and past customer support chats directly into your Cursor composer. You don't have to guess why a webhook failed when you can pull the exact payload into your active editor. By feeding these live chat logs straight to your Cursor agent, you can write regression tests based on actual customer interactions. It makes fixing support integration bugs a matter of seconds instead of hours.

Sync help docs with code changes using this MCP Server

This MCP Server uses `create_article` to generate and upload fresh documentation directly from your markdown files in Cursor. When you ship a new feature, your agent updates the knowledge base before the code even deploys. You can also call `list_articles` to verify that your code changes don't conflict with existing support documentation. It keeps your engineering team and your automated support bot perfectly aligned.

Inspect active user states during Cursor sessions

The `get_end_user` tool retrieves profile data and custom metadata for any specific user ID directly inside your Cursor workspace. This lets you mock real user environments when writing custom support integrations. Instead of hardcoding dummy data, your Cursor agent pulls live variables to test your support routing logic. It ensures your custom code works flawlessly against real-world customer profiles.

Setup guide

Set up Ada 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 Ada 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 Ada transactions." If the MCP tools are loaded correctly, Cursor will call the Ada tools automatically. You can also check Settings → MCP for a green status indicator.

.cursor/mcp.json

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

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Common questions about Ada MCP in Cursor

Add the MCP Server details to your Cursor config file in your project root or global settings. Once saved, enable Agent mode in Cursor chat to begin calling the support tools.

Yes, you can use the `create_article` tool within Cursor to push new documentation directly from your workspace. Your agent can read your local code changes and draft the corresponding support article for you.

Run the `list_conversations` tool to pull the exact chat history that triggered the error. Your Cursor agent can analyze the payload and help you write a patch immediately.

The `get_end_user` tool pulls custom variables and user profiles directly into your editor. This makes it easy to verify how your backend handles different customer tiers.

All customer support conversations and end-user profiles processed by this MCP Server are handled in an ephemeral sandbox. Your customer records are never saved to disk, keeping your support database completely private.

Use it with your favorite AI tools

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

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