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Fera.ai MCP Server for Google ADK 12 tools — connect in under 2 minutes

Built by Vinkius GDPR 12 Tools SDK

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

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="feraai_agent",
    instruction=(
        "You help users interact with Fera.ai "
        "using 12 available tools."
    ),
    tools=[mcp_tools],
)
Fera.ai
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 Fera.ai MCP Server

Connect your Fera.ai account to any AI agent and take full control of your customer reviews, ratings, and user-generated content (UGC) through natural conversation.

Google ADK natively supports Fera.ai as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 12 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

  • Review Orchestration — List all customer reviews and fetch detailed sentiment metadata for specific feedback natively
  • Rating Intelligence — Query aggregated product ratings and review counts to analyze catalog performance flawlessly
  • UGC Monitoring — List and inspect customer-submitted photos and videos to manage your visual social proof natively
  • Customer Insights — Access detailed profiles of customers who have submitted feedback to personalize engagement synchronously
  • Multi-Store Management — List and query data across all stores managed under your partner or business account flawlessly
  • Integration Audit — Monitor active external integrations with platforms like Shopify, Wix, and BigCommerce directly from the cloud
  • Identity Context — Verify your API secret key identity and account subscription details through the agent flawlessly

The Fera.ai MCP Server exposes 12 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 Fera.ai to Google ADK via MCP

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

01

Install Google ADK

Run pip install google-adk

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Create the agent

Save the code above and integrate into your ADK workflow

04

Explore tools

The agent will discover 12 tools from Fera.ai via MCP

Why Use Google ADK with the Fera.ai MCP Server

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

01

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

02

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

03

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

04

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

Fera.ai + Google ADK Use Cases

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

01

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

02

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

03

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

04

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

Fera.ai MCP Tools for Google ADK (12)

These 12 tools become available when you connect Fera.ai to Google ADK via MCP:

01

get_account_info

Get Fera account and subscription details

02

get_customer

Get details for a specific customer profile

03

get_me

Get current API token identity info

04

get_product_rating

Get aggregated rating and review count for a product

05

get_review

Get details for a specific review

06

list_customers

List customers who have submitted feedback

07

list_external_integrations

List active external integrations (Shopify, etc.)

08

list_media

List customer-submitted photos and videos (UGC)

09

list_products

List products being tracked by Fera

10

list_reviews

List all customer reviews for your store

11

list_site_content

List social proof content and widgets

12

list_stores

List stores managed under your account

Example Prompts for Fera.ai in Google ADK

Ready-to-use prompts you can give your Google ADK agent to start working with Fera.ai immediately.

01

"List the latest 5 reviews for my store."

02

"Show me the average rating for product SKU-123."

03

"Check my active integrations on Fera."

Troubleshooting Fera.ai MCP Server with Google ADK

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

01

McpToolset not found

Update: pip install --upgrade google-adk

Fera.ai + Google ADK FAQ

Common questions about integrating Fera.ai MCP Server with Google ADK.

01

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.
02

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.
03

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.

Connect Fera.ai to Google ADK

Get your token, paste the configuration, and start using 12 tools in under 2 minutes. No API key management needed.