How do I get an Access Token for GetFeedback?

Log in to GetFeedback, navigate to your account settings or profile, and look for the API section to generate your Personal Access Token.

Can I see incomplete survey responses?

Yes! The 'list_survey_responses' tool allows you to filter by status. You can view responses that were 'started' but not yet finished, as well as 'completed' ones.

How do I send a survey to a list of people?

Use the 'send_survey_invites' tool. Provide the Survey ID and a JSON array of email addresses to trigger the invitations instantly.

Is the data returned in real-time?

Yes, all feedback data retrieved through this MCP server is fetched directly from the GetFeedback Reporting API, providing you with the latest available records.

GetFeedback MCP Server for OpenAI Agents SDK 12 tools — connect in under 2 minutes

Name: GetFeedback
Availability: InStock
Author: Vinkius

openai.github.io/openai-agents-python/mcp

Built by Vinkius GDPR 12 Tools SDK

The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect GetFeedback through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.

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

import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MCPServerStreamableHttp(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as mcp_server:

        agent = Agent(
            name="GetFeedback Assistant",
            instructions=(
                "You help users interact with GetFeedback. "
                "You have access to 12 tools."
            ),
            mcp_servers=[mcp_server],
        )

        result = await Runner.run(
            agent, "List all available tools from GetFeedback"
        )
        print(result.final_output)

asyncio.run(main())

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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 GetFeedback MCP Server

Connect your GetFeedback account to any AI agent to automate your customer feedback and survey reporting workflows through the Model Context Protocol (MCP). GetFeedback is a powerful, mobile-friendly survey platform that helps brands collect and analyze customer sentiment in real-time. This MCP server enables you to retrieve survey results, monitor completion statuses, and trigger survey invitations directly through natural conversation.

The OpenAI Agents SDK auto-discovers all 12 tools from GetFeedback through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries GetFeedback, another analyzes results, and a third generates reports, all orchestrated through Vinkius.

Key Features

Survey Orchestration — List all active surveys in your account and fetch detailed structural metadata for each form.
Real-time Response Tracking — Retrieve customer feedback as it arrives, including detailed answer payloads and completion timestamps.
Advanced Filtering — List survey responses filtered by status (started, completed) or created after a specific date for targeted reporting.
Automated Invitations — Trigger survey emails to a list of recipients programmatically from your chat interface.
Identity Oversight — Access global profile information for the authenticated GetFeedback user to ensure correct account context.
Data Connectivity — Verify your API connection and account health to maintain seamless feedback loops.
Asynchronous Monitoring — Fetch high-level response counts and status metrics to track survey performance instantly.

The GetFeedback MCP Server exposes 12 tools through the Vinkius. Connect it to OpenAI Agents SDK 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 GetFeedback to OpenAI Agents SDK via MCP

Follow these steps to integrate the GetFeedback MCP Server with OpenAI Agents SDK.

Install the SDK

Run pip install openai-agents in your Python environment

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Run the script

Save the code above and run it: python agent.py

Explore tools

The agent will automatically discover 12 tools from GetFeedback

Why Use OpenAI Agents SDK with the GetFeedback MCP Server

OpenAI Agents SDK provides unique advantages when paired with GetFeedback through the Model Context Protocol.

Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety

Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure

Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate

First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output

GetFeedback + OpenAI Agents SDK Use Cases

Practical scenarios where OpenAI Agents SDK combined with the GetFeedback MCP Server delivers measurable value.

Automated workflows: build agents that query GetFeedback, process the data, and trigger follow-up actions autonomously

Multi-agent orchestration: create specialist agents. one queries GetFeedback, another analyzes results, a third generates reports

Data enrichment pipelines: stream data through GetFeedback tools and transform it with OpenAI models in a single async loop

Customer support bots: agents query GetFeedback to resolve tickets, look up records, and update statuses without human intervention

GetFeedback MCP Tools for OpenAI Agents SDK (12)

These 12 tools become available when you connect GetFeedback to OpenAI Agents SDK via MCP:

check_api_limits

Verify connectivity

get_my_identity

Get user identity

get_response_details

Get response metadata

get_survey_details

Get survey metadata

get_survey_stats

Get response count

list_completed_feedback

Filter for completed

list_feedback_page

Paginated responses

list_recent_feedback

Filter by date

list_survey_responses

List feedback data

list_surveys

List all surveys

send_survey_invites

Trigger survey email

verify_api_connection

Check connection

Example Prompts for GetFeedback in OpenAI Agents SDK

Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with GetFeedback immediately.

"List all active surveys in my GetFeedback account."

"Show me the last 5 completed responses for survey '12345'."

"Send the 'Onboarding Survey' (ID: 98765) to ['user1@test.com', 'user2@test.com']."

Troubleshooting GetFeedback MCP Server with OpenAI Agents SDK

Common issues when connecting GetFeedback to OpenAI Agents SDK through the Vinkius, and how to resolve them.

MCPServerStreamableHttp not found

Ensure you have the latest version: pip install --upgrade openai-agents

Agent not calling tools

Make sure your prompt explicitly references the task the tools can help with.

GetFeedback + OpenAI Agents SDK FAQ

Common questions about integrating GetFeedback MCP Server with OpenAI Agents SDK.

How does the OpenAI Agents SDK connect to MCP?

Use MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.