3,400+ MCP servers ready to use
Vinkius
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Bring Market Research
to Google ADK

Learn how to connect QuestionPro to Google ADK and start using 13 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.

Check Questionpro StatusCreate SurveyGet QuestionGet ResponseGet SurveyGet Survey StatsList Email ListsList FoldersList QuestionsList ResponsesList SurveysList Surveys By FolderList Users

What is the QuestionPro MCP Server?

Bring advanced survey analytics into your AI workflow with QuestionPro. Your agents can orchestrate end-to-end feedback loops by filtering folders for active campaigns, compiling real-time response statistics, retrieving granular participant data, and maintaining contact lists—all executed conversationally.

What you can do

  • Create, retrieve, and organize surveys with folder filtering
  • Analyze real-time survey statistics and completion rates
  • Collect and inspect individual respondent data
  • Manage question banks and user administration
  • Organize email outreach lists efficiently

How it works

1. Log in to your QuestionPro account 2. Go to Integrations to generate your unique API key 3. Link the key in Vinkius to enable AI-powered survey management

Who is it for?

Ideal for market researchers, HR teams, and product managers needing fast, AI-driven insights from customer and employee feedback.

Built-in capabilities (13)

check_questionpro_status

Verify connectivity

create_survey

Create a survey

get_question

Get question details

get_response

Get response details

get_survey

Get survey details

get_survey_stats

Get survey statistics

list_email_lists

List email lists

list_folders

List folders

list_questions

List survey questions

list_responses

List survey responses

list_surveys

List surveys

list_surveys_by_folder

List surveys by folder

list_users

List account users

Why Google ADK?

Google ADK natively supports QuestionPro as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 13 tools with Gemini's long-context reasoning for complex multi-tool workflows, with production-ready session management and evaluation built in.

  • 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 QuestionPro

  • 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 QuestionPro tools with BigQuery, Vertex AI, and Cloud Functions

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See it in action

QuestionPro in Google ADK

AI AgentVinkius
High Security·Kill Switch·Plug and Play
Why Vinkius

QuestionPro and 3,400+ other MCP servers. One platform. One governance layer.

Teams that connect QuestionPro to Google ADK through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.

3,400+MCP Servers ready
<40msCold start
60%Token savings
Raw MCP
Vinkius
Server catalogFind and host yourself3,400+ managed
InfrastructureSelf-hostedSandboxed V8 isolates
Credential handlingPlaintext in configVault + runtime injection
Data loss preventionNoneConfigurable DLP policies
Kill switchNoneGlobal instant shutdown
Financial circuit breakersNonePer-server limits + alerts
Audit trailNoneEd25519 signed logs
SIEM log streamingNoneSplunk, Datadog, Webhook
HoneytokensNoneCanary alerts on leak
Custom domainsNot applicableDNS challenge verified
GDPR complianceManual effortAutomated purge + export
Enterprise Security

Why teams choose Vinkius for QuestionPro in Google ADK

The QuestionPro 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. All 13 tools execute in hardened sandboxes optimized for native MCP execution.

Your AI agents in Google ADK only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.

QuestionPro
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

The Vinkius Advantage

How Vinkius secures QuestionPro for Google ADK

Every tool call from Google ADK to the QuestionPro MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.

< 40msCold start
Ed25519Signed audit chain
60%Token savings
FAQ

Frequently asked questions

01

Can I view response details?

Yes, access individual survey responses with complete answer data and timestamps, or list all responses for analysis.

02

Can I export data from folders?

Yes, you can filter and retrieve all surveys or specific responses contained within a specific folder.

03

How to handle API Limits?

The API includes rate limits depending on your plan. The MCP handles basic pagination efficiently to avoid exceeding them.

04

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.

05

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.

06

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.

07

McpToolset not found

Update: pip install --upgrade google-adk