How to Use the Feathery MCP in Claude Code

Q: What is the command to add the Feathery MCP Server to Claude Code?

Run claude mcp add --transport http feathery-mcp -- . Make sure all flags come before the server name, and use claude mcp list to confirm the connection.

Automate your backend form pipelines straight from the terminal. Connect Claude Code to Feathery to run headless data audits.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Feathery MCP to Claude Code

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

GDPR Free for Subscribers

Setup Feathery with Claude Code

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Headless data auditing with Claude Code

Run schema validation scripts directly from your shell using `list_users` to fetch accounts. This MCP Server lets your terminal agent use `get_user_data` to pull their submitted fields. You can pipe this output straight to local CLI utilities or database seeds. It makes writing migrations, cleaning old records, and generating reports fast and completely scriptable.

Automated CI/CD workflow testing

Integrate form logic verification into your deployment pipelines using `list_workflows`. Claude Code uses `get_workflow_details` to verify that your staging environments match production before you push code. If a step is missing, the agent flags the discrepancy in your terminal. You can run these checks inside GitHub Actions or local pre-commit hooks to catch breaking changes early.

Instant terminal-based log analysis

Stop opening your browser to check why a webhook failed and run `list_connector_logs` instead. Your CLI agent uses `get_me` to verify your API credentials. It analyzes the stack trace right in your terminal window, suggests the exact fix, and can even execute the shell command to redeploy your serverless function. That saves you from clicking through multiple browser tabs.

Setup guide

Set up Feathery MCP in Claude Code

Prerequisites

Claude Code CLI installed (npm install -g @anthropic-ai/claude-code)
Active Vinkius subscription with a valid endpoint token

1

Run the add command

Open your terminal and run the command shown on the right. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com. Use --scope user to make it available across all projects.
2

Verify the connection

Start a Claude Code session and type /mcp to list connected servers. You should see feathery-mcp with a green status indicator.
3

Start using tools

Ask Claude Code something like "Check my latest Feathery transactions." It will automatically discover and invoke the available Feathery tools.

Terminal

claude mcp add --transport http feathery-mcp https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp

Get your connection token →

Prerequisites

Claude Code CLI installed
Active Vinkius subscription with a valid endpoint token

1

Open the config file

Create or edit .mcp.json in your project root for project-level scope, or ~/.claude.json for user-level scope.
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

Restart Claude Code

Start a new Claude Code session. Type /mcp to confirm the server is connected. The tools will be automatically available in your conversation.

.mcp.json

{
  "mcpServers": {
    "feathery-mcp": {
      "type": "url",
      "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.

Why Choose Vinkius

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

Connect Feathery now

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 Claude Code

Run `claude mcp add --transport http feathery-mcp -- `. Make sure all flags come before the server name, and use `claude mcp list` to confirm the connection.

Yes. You can trigger the terminal agent in headless mode to run audits. The agent will use tools like `list_forms` and output clean JSON that you can pipe directly to other CLI tools.

Authentication is handled completely by Vinkius. You only need to provide your single Vinkius endpoint token when configuring the server, removing the need to manage raw API keys in your local environment.

Yes. While the hosted server runs over secure HTTP, the CLI client communicates seamlessly with the endpoint, giving you the speed of local execution with the security of a hosted sandbox.

Every request is isolated within zero-trust, ephemeral containers. Your user profiles and form workflow definitions are decrypted in-memory only for the duration of the API call and are never written to persistent logs.

Use it with your favorite AI tools

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

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript