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 AutoGen 12 tools — connect in under 2 minutes

Name: GetFeedback
Availability: InStock
Author: Vinkius

microsoft.github.io/autogen/docs/tools/mcp-tools

Built by Vinkius GDPR 12 Tools Framework

Microsoft AutoGen enables multi-agent conversations where agents negotiate, delegate, and execute tasks collaboratively. Add GetFeedback as an MCP tool provider through Vinkius and every agent in the group can access live data and take action.

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 autogen_agentchat.agents import AssistantAgent
from autogen_ext.tools.mcp import McpWorkbench

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with McpWorkbench(
        server_params={"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"},
        transport="streamable_http",
    ) as workbench:
        tools = await workbench.list_tools()
        agent = AssistantAgent(
            name="getfeedback_agent",
            tools=tools,
            system_message=(
                "You help users with GetFeedback. "
                "12 tools available."
            ),
        )
        print(f"Agent ready with {len(tools)} tools")

asyncio.run(main())

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* 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.

AutoGen enables multi-agent conversations where agents negotiate, delegate, and collaboratively use GetFeedback tools. Connect 12 tools through Vinkius and assign role-based access. a data analyst queries while a reviewer validates, with optional human-in-the-loop approval for sensitive operations.

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 AutoGen 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 AutoGen via MCP

Follow these steps to integrate the GetFeedback MCP Server with AutoGen.

Install AutoGen

Run pip install "autogen-ext[mcp]"

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Integrate into workflow

Use the agent in your AutoGen multi-agent orchestration

Explore tools

The workbench discovers 12 tools from GetFeedback automatically

Why Use AutoGen with the GetFeedback MCP Server

AutoGen provides unique advantages when paired with GetFeedback through the Model Context Protocol.

Multi-agent conversations: multiple AutoGen agents discuss, delegate, and collaboratively use GetFeedback tools to solve complex tasks

Role-based architecture lets you assign GetFeedback tool access to specific agents. a data analyst queries while a reviewer validates

Human-in-the-loop support: agents can pause for human approval before executing sensitive GetFeedback tool calls

Code execution sandbox: AutoGen agents can write and run code that processes GetFeedback tool responses in an isolated environment

GetFeedback + AutoGen Use Cases

Practical scenarios where AutoGen combined with the GetFeedback MCP Server delivers measurable value.

Collaborative analysis: one agent queries GetFeedback while another validates results and a third generates the final report

Automated review pipelines: a researcher agent fetches data from GetFeedback, a critic agent evaluates quality, and a writer produces the output

Interactive planning: agents negotiate task allocation using GetFeedback data to make informed decisions about resource distribution

Code generation with live data: an AutoGen coder agent writes scripts that process GetFeedback responses in a sandboxed execution environment

GetFeedback MCP Tools for AutoGen (12)

These 12 tools become available when you connect GetFeedback to AutoGen 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 AutoGen

Ready-to-use prompts you can give your AutoGen 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 AutoGen

Common issues when connecting GetFeedback to AutoGen through the Vinkius, and how to resolve them.

McpWorkbench not found

Install: pip install "autogen-ext[mcp]"

GetFeedback + AutoGen FAQ

Common questions about integrating GetFeedback MCP Server with AutoGen.

How does AutoGen connect to MCP servers?

Create an MCP tool adapter and assign it to one or more agents in the group chat. AutoGen agents can then call GetFeedback tools during their conversation turns.

Can different agents have different MCP tool access?

Yes. AutoGen's role-based architecture lets you assign specific MCP tools to specific agents, so a querying agent has different capabilities than a reviewing agent.