How to Use the Feathery MCP in VS Code Copilot

Q: How do we configure Feathery for our entire team in VS Code Copilot?

Create a .vscode/mcp.json file in your repository root. Add the server under the MCP servers key, and once your team pulls the branch, Copilot will recognize the tools automatically.

Q: Can we toggle environments inside VS Code Copilot using Feathery?

Yes. Run listenvironments in Copilot Chat to see which environments are configured, helping your team verify settings before pushing code to production.

Q: Does Feathery support debugging webhooks from VS Code Copilot?

Yes. Your team can run listconnectorlogs via the VS Code Copilot agent to inspect webhook payload failures and fix the integration logic instantly.

Q: How do we verify our team's API permissions?

Use the getaccountinfo and getme tools to check the active token permissions and account tier directly from the chat window.

Equip your entire engineering team to debug forms and monitor connector logs using VS Code Copilot.

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Connect Feathery MCP to VS Code Copilot

Create your Vinkius account to connect Feathery to VS Code Copilot 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 VS Code Copilot

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Team-Wide Form Diagnostics via MCP Server

Share your form debugging setup across the entire engineering team. By committing a `.vscode/mcp.json` config file to your repository, every developer gets instant access to `list_forms` and `get_form_details` directly inside VS Code Copilot. This shared MCP Server configuration ensures that everyone on the team can inspect form schemas without needing individual dashboard access. It keeps your team aligned during complex frontend rollouts.

Monitor Workflows and Logs Collectively

Avoid long Slack threads trying to figure out why an integration failed. Developers can ask Copilot to run `list_connector_logs` to pull the latest errors and share the root cause directly in the workspace chat. By calling `list_workflows` and `get_workflow_details`, your team can map out the entire lifecycle of a user's submission. Setting up this MCP connection makes tracking down asynchronous processing bottlenecks a collaborative, low-friction task.

Inspect Live User States During Code Reviews

When reviewing pull requests for user profiles, you often need to verify how actual data is structured. Use `get_user_data` to fetch real submissions and verify that the new PR handles edge cases correctly. You can also run `list_users` to find test accounts in your staging environment. Having this capability inside VS Code Copilot means you can run live audits during your review cycles.

Setup guide

Set up Feathery MCP in VS Code Copilot

Prerequisites

VS Code 1.99 or later with GitHub Copilot extension
Active Vinkius subscription with a valid endpoint token

1

Open MCP configuration

Open the Command Palette (Cmd+Shift+P / Ctrl+Shift+P) and run "MCP: Add Server". Select HTTP (Streamable) as the server type. VS Code will create .vscode/mcp.json in your workspace.
2

Add the Feathery MCP

Paste the JSON snippet shown on the right into your .vscode/mcp.json. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.
3

Switch to Agent mode

Open Copilot Chat (Cmd+Shift+I / Ctrl+Shift+I) and switch to Agent mode using the dropdown. MCP tools are only available in Agent mode — they do not appear in Edit or Ask modes.
4

Verify the connection

In the Copilot Chat input, type # to list available tools. You should see the Feathery tools listed. Try asking: "List my recent Feathery transactions" and Copilot will invoke them automatically.

.vscode/mcp.json

{
  "mcpServers": {
    "feathery-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 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 VS Code Copilot

Create a `.vscode/mcp.json` file in your repository root. Add the server under the MCP servers key, and once your team pulls the branch, Copilot will recognize the tools automatically.

Yes. Run `list_environments` in Copilot Chat to see which environments are configured, helping your team verify settings before pushing code to production.

Yes. Your team can run `list_connector_logs` via the VS Code Copilot agent to inspect webhook payload failures and fix the integration logic instantly.

Use the `get_account_info` and `get_me` tools to check the active token permissions and account tier directly from the chat window.

The server executes within a zero-trust, ephemeral sandbox. This ensures that any workflow logs or user profiles fetched via `get_workflow_details` are processed strictly in-memory and never cached or stored on Vinkius servers.

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