GetFeedback MCP. Manage customer feedback data right from your chat window.
Gemini Works with every AI agent you already use
…and any MCP-compatible client
Just plug in your AI agents and start using Vinkius.
GetFeedback. Manage online surveys, track real-time responses, and handle customer sentiment reporting directly through your AI agent. This MCP server lets you retrieve survey results, list active forms, monitor completions, and trigger invitations—all without leaving your chat client.
It's built for CX teams needing fast, actionable data on customer feedback.
What your AI agents can do
Check api limits
Checks the current operational limits and usage quota for the GetFeedback account.
Get my identity
Retrieves the basic profile information for the connected GetFeedback user.
Get response details
Fetches the detailed metadata for a specific survey response record.
Retrieves a list of every survey currently set up in your GetFeedback account.
Pulls the specific metadata and structure for any single survey ID.
Gathers high-level metrics, telling you how many responses a survey has received.
Retrieves the most recent survey responses, allowing you to see the latest customer sentiment.
Lists only the responses that users have marked as finished.
Checks and returns the global profile information for the account connected to the MCP server.
Triggers email invitations to a list of specified email addresses for a given survey.
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Supported MCP Clients
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GetFeedback MCP Server: 12 Tools for Survey Management
Use these tools to list surveys, check API limits, filter responses by date, and send invites—all managed by your AI agent.
019d75a3check api limits
Checks the current operational limits and usage quota for the GetFeedback account.
019d75a3get my identity
Retrieves the basic profile information for the connected GetFeedback user.
019d75a3get response details
Fetches the detailed metadata for a specific survey response record.
019d75a3get survey details
Gets the full metadata, structure, and settings for a particular survey.
019d75a3get survey stats
Calculates and returns high-level statistics, including the total count of responses for a survey.
019d75a3list completed feedback
Filters and lists all survey responses that the user has marked as complete.
019d75a3list feedback page
Provides a paginated list of survey responses for browsing large datasets.
019d75a3list recent feedback
Filters and lists survey responses based on a specific date range.
019d75a3list survey responses
Lists a general set of survey feedback data, allowing for broad data queries.
019d75a3list surveys
Retrieves a list of every active survey that can be managed by the account.
019d75a3send survey invites
Programmatically triggers and sends survey invitation emails to a list of recipients.
019d75a3verify api connection
Checks the live connection status and authentication credentials for the GetFeedback service.
Choose How to Get Started
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Build Your Own
Turn any API into an MCP. Import a spec, define Agent Skills, or deploy with MCPFusion.
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Make Your AI Do More
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- Works with Claude, ChatGPT, Cursor, and more
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What you can do with this MCP connector
GetFeedback MCP Server: Survey Data & Reporting
Your AI agent gives you full control over customer feedback. You can list every active survey in your GetFeedback account, get the full structure and metadata for any single survey, and check high-level metrics to see how many responses a survey has racked up.
Need to know what people are saying right now? You can fetch the most recent customer responses, or you can filter for responses that users have already marked as finished. Want to scope out a huge amount of data? You can list general survey feedback, or you can filter responses based on a specific date range.
You can also trigger email invites to a list of people for any survey you've got set up.
When you need to check the system, you can list all active surveys you manage, and you can check the basic profile information for the account connected to the MCP server. You can send bulk survey invitations to a list of specified emails, and you can verify the live connection status and authentication credentials for the GetFeedback service.
You can also check the current operational limits and usage quota for your GetFeedback account.
How GetFeedback MCP Works
- 1 First, subscribe to the GetFeedback server on the Vinkius Marketplace and input your GetFeedback Access Token.
- 2 Next, tell your agent the task—for example, 'Show me the last 10 completed responses for Survey ID 98765.'
- 3 The agent executes the necessary tool (e.g.,
list_completed_feedback), retrieves the data payload, and presents the results in natural conversation.
The bottom line is: you use natural language to manage complex survey data without writing code.
Who Is GetFeedback MCP For?
CX Managers need this. They're the ones who wake up checking dashboards, frustrated that data is siloed across multiple reports. Support Leads need it too—they need an instant overview of feedback tied to a recent customer interaction, not a manual export. Marketing Analysts use it to automate weekly reports, getting the raw data for brand health tracking without leaving their chat window.
Uses the agent to quickly check for new survey completions or to pull high-level sentiment summaries on demand.
Gets a real-time overview of feedback associated with recent customer issues via simple AI commands, bypassing ticketing system exports.
Automates the retrieval of survey data for weekly reporting cycles and tracks overall brand health metrics.
What Changes When You Connect
- See real-time sentiment shifts. Instead of exporting data and running a separate analysis, use
list_recent_feedbackto pull the latest responses and spot immediate trends in customer pain points. - Automate outreach. Need to send a survey to 50 people? Use
send_survey_invitesto queue the emails instantly. You manage the invites without leaving your chat client. - Get the full picture instantly. Use
list_surveysto see all active forms, then useget_survey_detailsto pull the structure of one specific survey—all in one conversational flow. - Never lose context. Use
get_my_identityto confirm the agent is operating under the correct account context before running sensitive data queries likelist_survey_responses. - Monitor account health. Run
verify_api_connectionfirst. It confirms your credentials and connection are live, preventing failed queries and wasted time. - Deep dive into data. When you need to analyze a specific response, use
get_response_detailsto pull all the raw metadata, not just the answers.
Real-World Use Cases
The Support Lead needs to quickly assess a customer's full history.
A support lead needs to know if a customer complained about the pricing model last month. They ask the agent to use list_recent_feedback for that customer's ID. The agent runs the tool, pulls the data, and summarizes the complaints immediately, saving the lead from manually digging through past tickets and reports.
The Marketing Analyst needs to track a campaign's success.
Marketing is launching a new feature and needs to know if the feedback is positive. They ask the agent to run get_survey_stats against the new survey ID. The agent returns the total response count and key metrics, allowing the analyst to gauge success instantly and report numbers without waiting for data exports.
CX Manager must ensure the data is structured correctly before deployment.
Before a major report, the CX Manager wants to double-check the survey structure. They ask the agent to run get_survey_details for the target survey. The agent returns the full metadata, confirming the correct question types and options, preventing the team from analyzing incomplete or incorrectly structured data.
Large group needs to be onboarded to a new process.
The team needs to send out the new onboarding survey to 200 employees. Instead of manually creating 200 emails and tracking sends, the manager tells the agent to use send_survey_invites and specifies the email list. The tool sends the invites and confirms the batch send, saving hours of administrative work.
Comparing different data sets for a quarterly review.
A user needs to compare the data from the 'NPS Survey' versus the 'UX Survey'. They ask the agent to use list_surveys first to confirm the IDs, and then run list_survey_responses for both IDs sequentially. The agent aggregates the findings, giving a unified comparison summary.
The Tradeoffs
Manual Data Aggregation
Jumping between the GetFeedback dashboard, Excel, and the internal CRM to pull response counts, filter by date, and then manually combine the data points for a report.
→
Use the agent to run list_recent_feedback and get_survey_stats in a single chat session. The agent pulls the filtered, aggregated data and presents the report summary directly, eliminating the need to copy/paste between tools.
Ignoring API Limits
Running dozens of manual reports or queries without checking the quota, resulting in a service outage because the API key hits its daily limit.
→
Always start by calling check_api_limits. This tool tells you exactly how much quota you have left, ensuring your agent runs queries like list_survey_responses safely and within bounds.
Assuming Data Completeness
Writing code that expects a specific field (like 'NPS Score') to exist in every response, only to find that some surveys are missing that field or have changed its name.
→
Use get_survey_details to validate the expected metadata and fields before running data queries. This confirms the structure of the survey, so your agent doesn't fail when the underlying form changes.
When It Fits, When It Doesn't
Use this server if your primary job is reading, filtering, or acting on existing customer feedback data. You need an agent to read survey results, list forms, or send invites. You're in the CX space, dealing with sentiment, NPS, or product usability.
Don't use this if you need to build a complex, custom data pipeline that involves external systems outside of GetFeedback (e.g., integrating survey data with payment gateway logs). For that, you'll need a general data integration tool or a custom script. Also, don't use this just because you need a simple list of emails—use a dedicated email tool instead of send_survey_invites if your goal is broader communication.
Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by GetFeedback. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.
VINKIUS INFRASTRUCTURE
Cloud Hosted
Managed infra
V8 Isolated
Sandboxed per request
Zero-Trust Proxy
No stored credentials
DLP Enforced
Policy on every call
GDPR Compliant
EU data residency
Token Compression
~60% cost reduction
Works with Claude, ChatGPT, Cursor, and more
The Model Context Protocol standardizes how applications expose capabilities to LLMs. Instead of operating in isolation, your AI gains direct access to external platforms, live data, and real-world actions through secure, standardized connections.
This server provides 12 capabilities that interface natively with Claude, ChatGPT, Cursor, and any MCP client. No middleware. No custom integration required.
Available Capabilities
Pulling customer feedback shouldn't require 15 clicks and three different tabs.
Today, getting a comprehensive view of customer sentiment is a painful process. You have to log into the survey platform, navigate to the 'Responses' tab, then switch to 'Advanced Filtering' to narrow down the results by date or status. If you need to share that data, you copy the whole table, paste it into a spreadsheet, and then send the file out. It's a manual, slow, multi-step mess.
With the GetFeedback MCP Server, you ask your agent: 'Show me all completed responses from the last week.' The agent runs `list_completed_feedback` and `list_recent_feedback`. You get the filtered, analyzed data right back in your chat window. No exports, no spreadsheets, just the answer.
GetFeedback MCP Server: Manage Survey Data with `list_surveys`
Manually checking if a survey exists, or what its structure is, requires logging in and clicking through the account's form list, then clicking into the settings panel to find the metadata. If you forget which survey ID is which, you're stuck.
Now, you just ask your agent to run `list_surveys` and `get_survey_details`. The agent instantly lists all active surveys and provides the full structural metadata. You know exactly what you're working with before you pull a single piece of data.
Common Questions About GetFeedback MCP
How do I use GetFeedback MCP Server to check the API limits? +
Run check_api_limits first. This tool tells you your current quota and usage. It’s smart to check this before running large queries like list_survey_responses to avoid hitting the limit.
Can I use GetFeedback MCP Server to send invites to a specific group? +
Yes, use send_survey_invites. You just need to specify the target email list and the survey ID. The agent handles the queueing and sending process for you.
What is the difference between `list_survey_responses` and `list_recent_feedback`? +
list_survey_responses lists general data sets, while list_recent_feedback filters the responses specifically by a date range. Use the date filter when you care about timeliness.
Do I need to call `get_my_identity` before using GetFeedback MCP Server? +
While not mandatory for every query, calling get_my_identity is good practice. It confirms the agent is using the correct user context and account profile for all subsequent actions.
How do I get the structure of a survey using GetFeedback MCP Server? +
Run get_survey_details. This tool fetches the detailed metadata and structural schema for a specific survey ID, ensuring you know exactly what data points to expect.
How do I use `get_survey_details` to check the structure of a specific survey? +
The get_survey_details tool retrieves the full structural metadata for any survey ID. This lets you see exactly which fields, question types, and logic branches the survey contains, which is useful for understanding how the data is formatted.
What is the difference between `list_survey_responses` and `list_feedback_page`? +
list_survey_responses provides a comprehensive list of all feedback data records. list_feedback_page fetches these responses in paginated chunks, which is necessary when dealing with large datasets that exceed a single API call limit.
Can I use `get_survey_stats` to track overall performance metrics? +
Yes, get_survey_stats gives you high-level response counts and overall status metrics for a survey. You can quickly check how many people have started or completed it without fetching every single record.
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.
Use it with your favorite AI tools
Connect this server to Cursor, Claude, VS Code, and more.
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