Feathery MCP Server for Windsurf 11 tools — connect in under 2 minutes
Windsurf brings agentic AI coding to a purpose-built IDE. Connect Feathery through Vinkius and Cascade will auto-discover every tool. ask questions, generate code, and act on live data without leaving your editor.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
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.
{
"mcpServers": {
"feathery": {
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
}
}
}
* 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.
Windsurf's Cascade agent chains multiple Feathery tool calls autonomously. query data, analyze results, and generate code in a single agentic session. Paste Vinkius Edge URL, reload, and all 11 tools are immediately available. Real-time tool feedback appears inline, so you see API responses directly in your editor.
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 Windsurf 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 Windsurf via MCP
Follow these steps to integrate the Feathery MCP Server with Windsurf.
Open MCP Settings
Go to Settings → MCP Configuration or press Cmd+Shift+P and search "MCP"
Add the server
Paste the JSON configuration above into mcp_config.json
Save and reload
Windsurf will detect the new server automatically
Start using Feathery
Open Cascade and ask: "Using Feathery, help me...". 11 tools available
Why Use Windsurf with the Feathery MCP Server
Windsurf provides unique advantages when paired with Feathery through the Model Context Protocol.
Windsurf's Cascade agent autonomously chains multiple tool calls in sequence, solving complex multi-step tasks without manual intervention
Purpose-built for agentic workflows. Cascade understands context across your entire codebase and integrates MCP tools natively
JSON-based configuration means zero code changes: paste a URL, reload, and all 11 tools are immediately available
Real-time tool feedback is displayed inline, so you see API responses directly in your editor without switching contexts
Feathery + Windsurf Use Cases
Practical scenarios where Windsurf combined with the Feathery MCP Server delivers measurable value.
Automated code generation: ask Cascade to fetch data from Feathery and generate models, types, or handlers based on real API responses
Live debugging: query Feathery tools mid-session to inspect production data while debugging without leaving the editor
Documentation generation: pull schema information from Feathery and have Cascade generate comprehensive API docs automatically
Rapid prototyping: combine Feathery data with Cascade's code generation to scaffold entire features in minutes
Feathery MCP Tools for Windsurf (11)
These 11 tools become available when you connect Feathery to Windsurf 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 Windsurf
Ready-to-use prompts you can give your Windsurf 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 Windsurf
Common issues when connecting Feathery to Windsurf through the Vinkius, and how to resolve them.
Server not connecting
Feathery + Windsurf FAQ
Common questions about integrating Feathery MCP Server with Windsurf.
How does Windsurf discover MCP tools?
mcp_config.json file on startup and connects to each configured server via Streamable HTTP. Tools are listed in the MCP panel and available to Cascade automatically.Can Cascade chain multiple MCP tool calls?
Does Windsurf support multiple MCP servers?
mcp_config.json. Each server's tools appear in the MCP panel and Cascade can use tools from different servers in a single flow.Connect Feathery with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Feathery to Windsurf
Get your token, paste the configuration, and start using 11 tools in under 2 minutes. No API key management needed.