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How to Use the Feathery MCP in Windsurf

Let Cascade run your onboarding loops. Connect Feathery to Windsurf and watch your agent handle form logic and user sessions on autopilot.

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Works with every AI agent you already use

…and any MCP-compatible client

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Windsurf

Connect Feathery MCP to Windsurf

Create your Vinkius account to connect Feathery to Windsurf 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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Autonomous form state tracking in Windsurf

Cascade doesn't just read code; it checks your actual live form states with `list_forms`. When a user gets stuck, your agent pulls the exact session state using `get_form_session` to see where they dropped off. You don't have to prompt it step-by-step. The agent maps the session data to your database schema, updates your local files, and writes the fix. It does all this in a single run because Windsurf understands the context of your entire codebase alongside your active forms.

Instant user data mapping and sync

Stop writing manual scripts to sync user responses to your backend by using `get_user_data` to fetch fields. Ask Cascade to update your user profiles, and it queries `list_users` to find the target. This MCP Server lets your agent write the migration code and verify it against real API payloads in one go. It handles the boring data-entry plumbing so you can focus on building features.

Automated webhook and connector debugging

When a third-party integration breaks, you can use `list_connector_logs` to scan your pipeline. Once it finds the issue, the agent checks `get_workflow_details` to map out the broken step. It then writes a patch for your local webhook handler, tests the fix, and gets your data flowing again. The entire troubleshooting loop happens inside Cascade.

Setup guide

Set up Feathery MCP in Windsurf

Prerequisites

  • Windsurf IDE installed (macOS, Windows, or Linux)
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Open MCP configuration

    Click the Cascade assistant icon in the sidebar, then click the hammer icon (🔨) at the top of the panel. Select "Configure" to open ~/.codeium/windsurf/mcp_config.json.

  2. 2

    Add the Feathery MCP

    Paste the JSON snippet shown on the right into the mcpServers object. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.

  3. 3

    Refresh MCPs

    Go back to the hammer icon (🔨) in Cascade and click "Refresh". Windsurf will detect the new server. No full restart is needed — the connection is hot-reloaded.

  4. 4

    Verify in Cascade

    Start a new Cascade conversation and ask something like "Show my Feathery payment history." If connected, Cascade will call the Feathery tools directly. You will see a green dot next to the server name in the MCP panel.

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

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.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Feathery MCP in Windsurf

Open your `~/.codeium/windsurf/mcp_config.json` file and add the server configuration under the `mcpServers` key. Alternatively, use the Settings UI under Cascade to add the endpoint. Click refresh in the MCP panel, and Cascade will immediately discover all eleven tools.
Yes. Cascade can read your local code trigger points, inspect your active workflows using `list_workflows`, and map out the exact payload structure using `get_workflow_details`. It chains these steps to automate your business logic without manual intervention.
Cascade intercepts the API error, reads the failure message, and adjusts its plan. If the failure is due to a broken integration, it will query `list_connector_logs` to troubleshoot the root cause and present you with the solution.
No. Vinkius handles the authorization layer. Your team uses a single endpoint token, and the platform securely routes requests to the API, meaning you don't have to distribute raw API keys to every workspace.
All operations run in sandboxed V8 isolates that spin down immediately after execution. Your user-submitted form data and field values are never stored on our servers, ensuring absolute isolation from other network traffic.

Start using the Feathery MCP today

We host it, we monitor it, we maintain it. You just paste one token.

Built & Managed by Vinkius 30s setup 11 tools

We've already built the connector for Feathery. Just plug in your AI agents and start using Vinkius.

No hosting. No infrastructure. No complex setup.
All 11 tools are live and waiting. You're up and running in seconds.

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