Zenloop MCP. Analyze NPS feedback and manage survey responses.
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Zenloop connects your AI agent directly to your Net Promoter System (NPS) and customer feedback data. This MCP Server lets you list surveys, retrieve detailed account information, fetch specific responses by date range, and programmatically submit new answers across email, website embed, link, or overlay channels.
Manage all customer insights from natural language.
What your AI agents can do
Create email answer
Creates a new survey response specifically destined for the Email Embed channel.
Create embed answer
Creates a new survey response meant for a Website Embed channel.
Create link answer
Generates and submits a new survey response through a direct Link channel.
Retrieves a list of every configured survey within the Zenloop account using the list_surveys tool.
Fetches detailed metadata and configuration for one designated survey using get_survey_details.
Lists individual survey responses, allowing filtering by a specified date range via the list_survey_answers tool.
Creates new survey responses across four specific channels: Email (create_email_answer), Website Embed (create_embed_answer), Link (create_link_answer), and Overlay (create_overlay_answer).
Retrieves high-level configuration information for the entire Zenloop project using get_account_details.
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Supported MCP Clients
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Zenloop MCP Server: 8 Tools for Customer Insights
These tools let your agent list surveys, fetch specific details, pull filtered customer feedback, and programmatically submit test responses.
019d7627create email answer
Creates a new survey response specifically destined for the Email Embed channel.
019d7627create embed answer
Creates a new survey response meant for a Website Embed channel.
019d7627create link answer
Generates and submits a new survey response through a direct Link channel.
019d7627create overlay answer
Creates a new survey response for a Website Overlay channel.
019d7627get account details
Retrieves general configuration and metadata about the entire Zenloop account setup.
019d7627get survey details
Gets specific details, including metadata, for a single designated survey ID.
019d7627list survey answers
Lists all recorded survey answers (responses) and allows filtering by a specific date range.
019d7627list surveys
Returns an exhaustive list of every active and historical surveys configured in the account.
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What you can do with this MCP connector
Listen up. Zenloop connects your AI agent straight into your Net Promoter System (NPS) data and customer survey feedback. This whole MCP Server lets your agent run complex operations using only natural language—no dashboard clicks needed, you dig?
It's built around giving your agent granular control over everything from account setup to submitting brand-new answers across multiple channels.
Getting the Lay of the Land
If you need high-level info on the whole Zenloop project, you use get_account_details. That tool pulls general configuration and metadata for your entire account setup. It's where you check to make sure everything is connected right.
When it comes to surveys themselves, you first gotta find them. You call list_surveys when you need an exhaustive list of every single survey—whether it’s active or historical—that's configured in the account. If you know exactly which survey you want details on, you use get_survey_details. This tool pulls specific metadata and configuration info for one designated survey ID.
Pulling the Answers
The raw data is where it gets useful. You can retrieve individual survey responses using list_survey_answers. Don't just look at everything; this function lets you filter out responses by a precise date range, so you only see the answers relevant to when you need 'em.
Submitting Feedback: The Channels
You don’t have to manually type in those scores anymore. Your agent can programmatically submit new survey responses across four different delivery channels. If the feedback is meant for an email embed, it's create_email_answer. For a website embedded widget, you use create_embed_answer. To generate and send a response through a simple direct link, you call create_link_answer.
Finally, if the survey pops up as an overlay on your site, you use create_overlay_answer to submit that data.
Basically, this setup turns what used to be complex dashboard interactions into simple conversational commands for your agent. You're telling it what to find or what to send, and the server handles the rest. It’s all about controlling the flow of customer insight using tools like list_surveys to map out options, and then drilling down with get_survey_details when you know what you're after.
You can pull every single response record using list_survey_answers, narrowing it down by date range until you find exactly what you need for your analysis.
How Zenloop MCP Works
- 1 Subscribe to this server and enter your Zenloop API Token.
- 2 Tell your AI agent what you need (e.g., 'List all NPS surveys' or 'Get responses from last week').
- 3 The agent routes the request to the appropriate tool, executes the call, and returns structured data for you to read.
The bottom line is: your AI client handles the API calls; you just talk to it like a person.
Who Is Zenloop MCP For?
Customer Success Managers who are tired of manually opening dashboards to check NPS trends. Product Managers needing rapid access to customer comments tied to specific features. Data Analysts who need to automate the extraction and formatting of survey responses for reports.
Monitors real-time feedback and overall NPS trends without logging into the Zenloop dashboard.
Quickly pulls customer comments related to specific product features or recent updates for sprint planning meetings.
Automates the retrieval of large sets of survey responses, ensuring they are formatted correctly for sentiment analysis and reporting tools.
What Changes When You Connect
- Real-time Sentiment Tracking: Use
list_survey_answersto pull all responses from a specific date range. This lets you calculate average NPS scores instantly, instead of manually exporting CSVs and running pivots. - Full Survey Inventory: The
list_surveystool gives you an immediate overview of every survey active in your account. You never have to guess which survey ID you're working with again. - Cross-Channel Data Entry: Need to submit a fake response for testing? Use the four dedicated tools (
create_*_answer) to simulate feedback across email, website links, and overlays. - Targeted Deep Dives: Instead of wading through general data,
get_survey_detailslets you focus on one survey at a time, giving deep metadata context without calling out every single field. - Quick Account Check: Use
get_account_detailswhen starting a session. You verify your project's high-level configuration and confirm API access status immediately.
Real-World Use Cases
Investigating a sudden dip in NPS scores
A customer service lead notices the average score dropped yesterday. They ask their agent to 'List survey answers for the last 24 hours.' The agent uses list_survey_answers and returns all low-scoring responses, allowing the team to immediately identify common pain points.
Onboarding a new product feature
A Product Manager wants to gauge initial reaction. They first run 'List all configured surveys' using list_surveys to find the right survey ID, then use get_survey_details to confirm its status before asking their agent to monitor submissions.
Automating a QA test of feedback collection
A development team needs to simulate user input. They instruct their agent to 'Submit a sample response via the Website Embed channel.' The agent executes create_embed_answer, confirming the workflow is sound before deployment.
Reporting on quarterly customer health
A data analyst needs raw, clean data for a presentation. They ask their agent to 'Get all answers for Survey XYZ between Q1 and Q2.' The tool executes list_survey_answers with the date filters, providing perfectly structured output ready for reporting.
The Tradeoffs
Asking for a general list of data
Saying 'Give me all customer feedback.' This is too vague. The agent won't know which survey, what date range, or if you mean the raw text or just the scores.
→
You must specify: 'List answers for Survey XYZ from last month.' Using list_survey_answers and referencing specific IDs ensures the data is scoped correctly.
Forgetting which channel to use
Just trying to 'submit a score' without telling the system how. This leads to errors because Zenloop requires knowing if it’s an email, link, or embed.
→
Always specify the target using one of the creation tools: create_email_answer for emails, or create_link_answer for direct links.
Misunderstanding scope
Asking 'What is my account status?' when you actually need to know about a specific survey. This results in getting general project data instead of actionable feedback metrics.
→
Check the tool name carefully. Use get_account_details for overall project info, but use get_survey_details when your query is focused on one specific survey.
When It Fits, When It Doesn't
Use this server if your job involves managing or analyzing Net Promoter Score (NPS) data and customer surveys. Specifically, you need to list existing surveys (list_surveys), pull historical responses with date filtering (list_survey_answers), or programmatically submit sample answers across multiple channels (create_*_answer tools).
Don't use this server if your primary goal is analyzing unstructured data like live chat transcripts, voice recordings, or general web page content. For those tasks, you need a different tool designed for text extraction from non-survey sources (like a CRM integration or a document parser). If you only need to list simple contacts without survey metrics, another directory API might be better.
Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Zenloop. 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.
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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 8 capabilities that interface natively with Claude, ChatGPT, Cursor, and any MCP client. No middleware. No custom integration required.
Available Capabilities
Wrestling with NPS data usually means clicking through three separate dashboards just to get the raw numbers.
Today's process requires you to log into Zenloop, navigate to 'Surveys,' select a survey ID, then filter by date range. You copy the necessary parameters (like the specific Survey ID and date boundaries) and paste them into an external spreadsheet for analysis. If you need five different metrics—average score, comment count, top feature mentions—you repeat this tedious process five times.
With Zenloop MCP, your agent handles all of that. You simply ask: 'List survey answers for the last 30 days and summarize the average NPS score.' The system executes `list_survey_answers` in the background, returning clean, structured data instantly. No clicking required.
Using Zenloop MCP Server lets you execute complex feedback actions with simple commands.
Manually testing a feedback submission across multiple channels is a nightmare: you have to open the email embed page, then the link widget, and then the overlay test environment just to make sure your API works. You're constantly copy-pasting mock data.
Now, telling your agent 'Submit a sample score of 9 via the Link channel,' executes `create_link_answer` directly. The process is contained in one prompt, giving you immediate confirmation that the entire submission workflow works.
Common Questions About Zenloop MCP
How do I list all available surveys using the Zenloop MCP Server? +
You use list_surveys. This tool returns a comprehensive list of every survey configured in your account, giving you all the IDs needed for subsequent calls.
Can I filter responses by date when listing survey answers? How does list_survey_answers work? +
Yes. The list_survey_answers tool allows filtering by a specific date range. You just need to provide the start and end dates in your prompt, and it filters out irrelevant data.
What is the difference between create_link_answer and create_embed_answer? +
They are for different delivery mechanisms. Use create_link_answer when submitting a response via a direct URL link, and use create_embed_answer when simulating input through a website embedded widget.
I need to check my Zenloop account settings first. Which tool should I use? +
You should run get_account_details. This retrieves the high-level configuration metadata for your entire project, confirming your overall access and setup status.
When I use get_survey_details, what specific metadata about a survey can I retrieve? +
The tool returns comprehensive structural data for the specified survey. You'll get details like its unique ID, creation date, associated channels, and current status flags—all necessary context before you start listing answers.
What is the functional difference between using create_overlay_answer versus other answer creation tools? +
Overlay answers are designed specifically for website overlays. While link or embed responses go into standard fields, creating an overlay response targets a specific UI layer on your site. It's for when you need to capture feedback that appears as a pop-up element.
If I run list_survey_answers frequently, how do I handle potential rate limits or API errors? +
The Zenloop API documentation specifies rate limit headers. When hitting those limits, your agent should pause and implement an exponential backoff strategy. This prevents continuous failed calls and ensures reliable data retrieval.
Before I use any tool, how do I ensure my credentials are set up correctly using get_account_details? +
Use the get_account_details tool first to validate your connection. This call confirms that the API token is active and properly scoped for all required actions, catching authentication failures before you submit survey data.
How do I find my Survey Hash ID? +
Use the list_surveys tool to see a comprehensive list of all surveys in your account along with their unique hash IDs.
Can I filter survey responses by date? +
Yes, the list_survey_answers tool accepts optional date_from and date_to parameters in YYYY-MM-DD format.
Is it possible to programmatically submit an NPS score? +
Absolutely. You can use the specific create tools (e.g., create_link_answer) to submit scores and comments for any survey channel.
Use it with your favorite AI tools
Connect this server to Cursor, Claude, VS Code, and more.
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