Compatible with every major AI agent and IDE
Get account info on Feathery
Get Feathery account details
Get form details on Feathery
Get details for a specific form
Get form session on Feathery
Retrieve the current state/session of a specific form for a user
Get me on Feathery
Get current API token identity info
Get user data on Feathery
Get all field values submitted by a specific user across forms
Get workflow details on Feathery
Get details for a specific workflow
List connector logs on Feathery
List recent API connector error logs for a specific form
List environments on Feathery
List available Feathery environments
List forms on Feathery
List all forms in your Feathery account
List users on Feathery
List all users in your Feathery environment
List workflows on Feathery
List all automated workflows
How Vinkius protects your data
Can I set different limits for each virtual assistant on my team?
Absolutely. You have full control in our command center. You can create an AI agent that only "reads" data so the support team can answer questions, and another superpowered agent that can "edit" and "create" information exclusively for your operations team. Each AI gets exactly the level of access you allow.
Can I audit what my AI agents are doing with this integration?
Yes, Vinkius provides an immutable, HMAC-chained audit log. Every tool execution, payload, and response is tracked in real-time on your dashboard, giving you complete visibility into your agent's actions.
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.
What if the AI ends up reading customer data or confidential information?
We have a built-in digital "bodyguard" called DLP (Data Loss Prevention). If a tool fetches data and the response contains social security numbers, credit cards, or personal customer info, Vinkius magically blocks and erases that information before it is delivered to the AI. The AI works only with what is strictly necessary, and your sensitive data never leaks.
Supported Use Cases for Feathery
Build automated workflows with Cursor and Claude Code by connecting to the Feathery MCP server.
Intelligent form builder Management
The Feathery toolkit translates Claude's commands into form builder operations. The MCP server ensures accurate delivery within the business operations ecosystem.
AI-Driven user onboarding Workflows
The Feathery server supports direct MCP connections for user onboarding. This provides Claude with the required permissions to execute business operations functions.
Feathery. Runs on everything.
From IDE to framework. Every connection governed by Vinkius.
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.
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