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 Google ADK 11 tools — connect in under 2 minutes

Name: Feathery
Availability: InStock
Author: Vinkius

google.github.io/adk-docs/tools/mcp-tools

Built by Vinkius GDPR 11 Tools SDK

Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add Feathery as an MCP tool provider through Vinkius and your ADK agents can call every tool with full schema introspection.

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.

python

from google.adk.agents import Agent
from google.adk.tools.mcp_tool import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import (
    StreamableHTTPConnectionParams,
)

# Your Vinkius token. get it at cloud.vinkius.com
mcp_tools = McpToolset(
    connection_params=StreamableHTTPConnectionParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    )
)

agent = Agent(
    model="gemini-2.5-pro",
    name="feathery_agent",
    instruction=(
        "You help users interact with Feathery "
        "using 11 available tools."
    ),
    tools=[mcp_tools],
)

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.

Google ADK natively supports Feathery as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 11 tools with Gemini's long-context reasoning for complex multi-tool workflows, with production-ready session management and evaluation built in.

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 Google ADK 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 Google ADK via MCP

Follow these steps to integrate the Feathery MCP Server with Google ADK.

Install Google ADK

Run pip install google-adk

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Create the agent

Save the code above and integrate into your ADK workflow

Explore tools

The agent will discover 11 tools from Feathery via MCP

Why Use Google ADK with the Feathery MCP Server

Google ADK provides unique advantages when paired with Feathery through the Model Context Protocol.

Google ADK natively supports MCP tool servers. declare a tool provider and the framework handles discovery, validation, and execution

Built on Gemini models, ADK provides long-context reasoning ideal for complex multi-tool workflows with Feathery

Production-ready features like session management, evaluation, and deployment come built-in. not bolted on

Seamless integration with Google Cloud services means you can combine Feathery tools with BigQuery, Vertex AI, and Cloud Functions

Feathery + Google ADK Use Cases

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

Enterprise data agents: ADK agents query Feathery and cross-reference results with internal databases for comprehensive analysis

Multi-modal workflows: combine Feathery tool responses with Gemini's vision and language capabilities in a single agent

Automated compliance checks: schedule ADK agents to query Feathery regularly and flag policy violations or configuration drift

Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including Feathery

Feathery MCP Tools for Google ADK (11)

These 11 tools become available when you connect Feathery to Google ADK 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 Google ADK

Ready-to-use prompts you can give your Google ADK 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 Google ADK

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

McpToolset not found

Update: pip install --upgrade google-adk

Feathery + Google ADK FAQ

Common questions about integrating Feathery MCP Server with Google ADK.

How does Google ADK connect to MCP servers?

Import the MCP toolset class and pass the server URL. ADK discovers and registers all tools automatically, making them available to your agent's tool-use loop.

Can ADK agents use multiple MCP servers?

Yes. Declare multiple MCP tool providers in your agent configuration. ADK merges all tool schemas and the agent can call tools from any server in a single turn.

Which Gemini models work best with MCP tools?

Gemini 2.0 Flash and Pro models both support function calling required for MCP tools. Flash is recommended for latency-sensitive use cases, Pro for complex reasoning.