Feathery MCP Server for Mastra AI 11 tools — connect in under 2 minutes
Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Feathery through the Vinkius and Mastra agents discover all tools automatically — type-safe, streaming-ready, and deployable anywhere Node.js runs.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import { Agent } from "@mastra/core/agent";
import { createMCPClient } from "@mastra/mcp";
import { openai } from "@ai-sdk/openai";
async function main() {
// Your Vinkius token — get it at cloud.vinkius.com
const mcpClient = await createMCPClient({
servers: {
"feathery": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "Feathery Agent",
instructions:
"You help users interact with Feathery " +
"using 11 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with Feathery?"
);
console.log(result.text);
}
main();
* 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.
Mastra's agent abstraction provides a clean separation between LLM logic and Feathery tool infrastructure. Connect 11 tools through the Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution — deployable to any Node.js host in one command.
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 Mastra AI 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 Mastra AI via MCP
Follow these steps to integrate the Feathery MCP Server with Mastra AI.
Install dependencies
Run npm install @mastra/core @mastra/mcp @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.ts and run with npx tsx agent.ts
Explore tools
Mastra discovers 11 tools from Feathery via MCP
Why Use Mastra AI with the Feathery MCP Server
Mastra AI provides unique advantages when paired with Feathery through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure — add Feathery without touching business code
Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation
TypeScript-native: full type inference for every Feathery tool response with IDE autocomplete and compile-time checks
One-command deployment to any Node.js host — Vercel, Railway, Fly.io, or your own infrastructure
Feathery + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the Feathery MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query Feathery, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed Feathery as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query Feathery on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using Feathery tools alongside other MCP servers
Feathery MCP Tools for Mastra AI (11)
These 11 tools become available when you connect Feathery to Mastra AI 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 Mastra AI
Ready-to-use prompts you can give your Mastra AI 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 Mastra AI
Common issues when connecting Feathery to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpFeathery + Mastra AI FAQ
Common questions about integrating Feathery MCP Server with Mastra AI.
How does Mastra AI connect to MCP servers?
MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.Can Mastra agents use tools from multiple servers?
Does Mastra support workflow orchestration?
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 Mastra AI
Get your token, paste the configuration, and start using 11 tools in under 2 minutes. No API key management needed.