How do I obtain my Feathery API Key?

Log in to your Feathery dashboard, navigate to **Settings > API**, and generate a new key. Ensure you copy the token immediately as it is only shown once.

Can I see the data submitted by a specific user?

Yes! Use the `get_user_data` tool with the specific User ID to retrieve all field values submitted by that user across any of your forms.

How can I troubleshoot integration errors via chat?

The `list_connector_logs` tool retrieves recent error logs for your API connectors. This allows your agent to identify exactly which field mapping or endpoint caused a failure.

Feathery MCP Server for Cursor 11 tools — connect in under 2 minutes

Name: Feathery
Availability: InStock
Author: Vinkius

docs.cursor.com/context/model-context-protocol

Built by Vinkius GDPR 11 Tools IDE

Cursor is an AI-first code editor built on VS Code that integrates LLM-powered coding assistance directly into the development workflow. Its Agent mode enables autonomous multi-step coding tasks, and MCP support lets agents access external data sources and APIs during code generation.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

RecommendedModern Approach — Zero Configuration

Vinkius Desktop App

The modern way to manage MCP Servers — no config files, no terminal commands. Install Feathery and 2,500+ MCP Servers from a single visual interface.

Download Free Open SourceNo signup required

Classic Setup·json

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

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Feathery MCP Server

Connect your Feathery.io account to any AI agent and take full control of your form automation and user data management through natural conversation.

Cursor's Agent mode turns Feathery into an in-editor superpower. Ask Cursor to generate code using live data from Feathery and it fetches, processes, and writes — all in a single agentic loop. 11 tools appear alongside file editing and terminal access, creating a unified development environment grounded in real-time information.

What you can do

User Orchestration — List all users in your environment and fetch detailed profiles including submission history natively
Submission Intelligence — Retrieve granular field data submitted by specific users across all your automated forms flawlessly
Session Monitoring — Query current form sessions to understand user progress and friction points in real-time
Connector Auditing — List API connector logs to verify data synchronization and troubleshoot integration errors synchronously
Form Management — List all active forms and retrieve structural details and metadata directly from the cloud
Workflow Tracking — Inspect automated workflows and their execution status to ensure seamless user journeys
Identity Context — Verify your API token user profile and account information through the agent flawlessly

The Feathery MCP Server exposes 11 tools through the Vinkius. Connect it to Cursor in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect Feathery to Cursor via MCP

Follow these steps to integrate the Feathery MCP Server with Cursor.

Open MCP Settings

Press Cmd+Shift+P (macOS) or Ctrl+Shift+P (Windows/Linux) → search "MCP Settings"

Add the server config

Paste the JSON configuration above into the mcp.json file that opens

Save the file

Cursor will automatically detect the new MCP server

Start using Feathery

Open Agent mode in chat and ask: "Using Feathery, help me..." — 11 tools available

Why Use Cursor with the Feathery MCP Server

Cursor AI Code Editor provides unique advantages when paired with Feathery through the Model Context Protocol.

Agent mode turns Cursor into an autonomous coding assistant that can read files, run commands, and call MCP tools without switching context

Cursor's Composer feature can generate entire files using real-time data fetched through MCP — no copy-pasting from external dashboards

MCP tools appear alongside built-in tools like file reading and terminal access, creating a unified agentic environment

VS Code extension compatibility means your existing workflow, keybindings, and extensions all work alongside MCP tools

Feathery + Cursor Use Cases

Practical scenarios where Cursor combined with the Feathery MCP Server delivers measurable value.

Code generation with live data: ask Cursor to generate a security report module using live DNS and subdomain data fetched through MCP

Automated documentation: have Cursor query your API's tool schemas and generate TypeScript interfaces or OpenAPI specs automatically

Infrastructure-as-code: Cursor can fetch domain configurations and generate corresponding Terraform or CloudFormation templates

Test scaffolding: ask Cursor to pull real API responses via MCP and generate unit test fixtures from actual data

Feathery MCP Tools for Cursor (11)

These 11 tools become available when you connect Feathery to Cursor via MCP:

get_account_info

Get Feathery account details

get_form_details

Get details for a specific form

get_form_session

Retrieve the current state/session of a specific form for a user

get_me

Get current API token identity info

get_user_data

Get all field values submitted by a specific user across forms

get_workflow_details

Get details for a specific workflow

list_connector_logs

List recent API connector error logs for a specific form

list_environments

List available Feathery environments

list_forms

List all forms in your Feathery account

list_users

List all users in your Feathery environment

list_workflows

List all automated workflows

Example Prompts for Feathery in Cursor

Ready-to-use prompts you can give your Cursor agent to start working with Feathery immediately.

"List all active forms in my account."

"Show me the data submitted by user user_99."

"Check if there are any connector errors for the Onboarding form."

Troubleshooting Feathery MCP Server with Cursor

Common issues when connecting Feathery to Cursor through the Vinkius, and how to resolve them.

Tools not appearing in Cursor

Ensure you are in Agent mode (not Ask mode). MCP tools only work in Agent mode.

Server shows as disconnected

Check Settings → Features → MCP and verify the server status. Try clicking the refresh button.

Feathery + Cursor FAQ

Common questions about integrating Feathery MCP Server with Cursor.

What is Agent mode and why does it matter for MCP?

Agent mode is Cursor's autonomous execution mode where the AI can perform multi-step tasks: reading files, editing code, running terminal commands, and calling MCP tools. Without Agent mode, Cursor operates in a simpler ask-and-answer mode that doesn't support tool calling. Always ensure you're in Agent mode when working with MCP servers.

Where does Cursor store MCP configuration?

Cursor looks for MCP server configurations in a mcp.json file. You can configure servers at the project level (.cursor/mcp.json in your project root) or globally (~/.cursor/mcp.json). Project-level configs take precedence.

Can Cursor use MCP tools in inline edits?

No. MCP tools are only available in Agent mode through the chat panel. Inline completions and Tab suggestions do not trigger MCP tool calls. This is by design — tool calls require user visibility and approval.

How do I verify MCP tools are loaded?

Open Settings → Features → MCP and look for your server name. A green indicator means the server is connected. You can also check Agent mode's available tools by clicking the tools dropdown in the chat panel.