How to Use the Feathery MCP in Cursor

Q: How do I set up the Feathery tool inside Cursor?

Add the MCP server configuration to your .cursor/mcp.json file in your project root. Once saved, enable Agent mode in the Cursor chat sidebar to let the editor invoke the tools.

Q: Can Cursor write API integration tests using Feathery?

Yes. The agent can use listforms to get your form IDs and then write automated Jest or Vitest tests that target those specific endpoints.

Q: Can I check which account is active in my editor?

Run the getme tool in the chat. This displays your active API token details so you know which environment you are writing code for.

Generate code that interacts with real form submissions and workflows using the Feathery MCP Server in Cursor.

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Connect Feathery MCP to Cursor

Create your Vinkius account to connect Feathery 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 Feathery with Cursor

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Claude

Perplexity

Write Code with Real Form Payloads

Stop relying on stale mock JSON files when writing your frontend handlers. Cursor uses the `get_form_details` tool to fetch the exact schema of your active forms directly into your editor. Your agent reads the real structure and writes typescript interfaces that match your live form perfectly. If you need to write logic for resume-state features, call `get_form_session` to see how progress is saved. Having this live context in your editor means zero guesswork when mapping form fields to your database.

Debug Integration Code in Cursor Agent Mode

When your local webhook handler fails, you can ask the Cursor agent to analyze the failure using live data. The agent runs `list_connector_logs` to grab the recent API errors and compares them against your local workspace code. This MCP Server integration allows the agent to inspect `get_workflow_details` and suggest the exact lines of code you need to change to fix the broken workflow. It is debugging without context switching.

Sync Local DB Schemas with Feathery Users

Keeping your local database tables aligned with user profiles is a chore. Use the `list_users` tool within Cursor to pull current user profiles and verify that your local user migration scripts match the live data structure. You can also run `get_user_data` to inspect how complex multi-form submissions are structured. The agent then writes the SQL migrations or Prisma schemas required to store this data locally.

Setup guide

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

.cursor/mcp.json

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

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Feathery. 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 Feathery MCP in Cursor

Add the MCP server configuration to your `.cursor/mcp.json` file in your project root. Once saved, enable Agent mode in the Cursor chat sidebar to let the editor invoke the tools.

Yes. The agent can use `list_forms` to get your form IDs and then write automated Jest or Vitest tests that target those specific endpoints.

The MCP Server communicates directly with the Feathery API using your token. If you hit rate limits while generating code, the connector logs retrieved via `list_connector_logs` will show the rate limit errors directly in your editor.

Run the `get_me` tool in the chat. This displays your active API token details so you know which environment you are writing code for.

Yes. Your API key remains stored in your local configuration file. All user submission records accessed via `get_user_data` are transmitted directly to your local editor instance over an encrypted, ephemeral V8 isolate tunnel.

Use it with your favorite AI tools

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

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