Wootric MCP for AI. See exactly why customers are unhappy, instantly.
Gemini Works with every AI agent you already use
…and any MCP-compatible client
How this MCP server connects to your AI agent
Wootric manages customer feedback by letting your AI agent query survey scores and user profiles directly. Track Net Promoter Score (NPS), Customer Satisfaction (CSAT), and detailed comments to pinpoint exact pain points in your product or service.
You'll get a real-time view of end user sentiment, declining users, and full feedback history without exporting CSVs.
What AI agents can do with Wootric Automation
Update project
Makes changes to the settings or details of a specified project.
Update response
Modifies an already recorded survey response, perhaps correcting a score or comment.
Update tag
Updates the name or properties of a specific tag used for categorization.
You can create new user profiles or pull lists of all existing users to keep your internal CRM data current.
Query specific survey results, including NPS or CSAT scores, across multiple users in real time.
Retrieve all past feedback for a single user, giving you the full context before any call or meeting.
Monitor and manage which users declined to take a survey, helping refine your outreach strategy.
Ask an AI about this
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What AI agents can do with Wootric: 22 Tools for CX Analysis
Use these tools to manage user records, analyze survey scores, create new content, or delete old data points in Wootric.
Make your AI actually useful.
Add this MCP to Claude, Cursor, or Windsurf and your AI stops guessing. It gets real tools to look things up, take action, and handle the stuff you keep doing by hand.
Start using Wootric on VinkiusUpdate Project
Makes changes to the settings or details of a specified project.
Update Response
Modifies an already recorded survey response, perhaps correcting a score or comment.
Update Tag
Updates the name or properties of a specific tag used for categorization.
Create Decline
Marks an end user record as having declined a survey.
Create End User
Creates a brand new customer profile in the system.
Create Import
Initiates the process of uploading bulk data into Wootric.
Create Project
Sets up a new project container for organizing feedback and campaigns.
Create Response
Records a new survey response score and comment for an end user.
Create Tag
Creates a new classification tag to categorize feedback data.
Delete Decline
Removes a decline record associated with an end user.
Delete End User
Permanently removes a customer profile from the system.
Delete Response
Deletes a specific survey response record.
Delete Tag
Removes an existing classification tag.
Get End User
Retrieves all custom properties and data for a single, specific end user by their ID.
List Declines
Pulls a list of every decline record across the entire platform.
List End User Responses
Gets all recorded survey responses tied to one particular end user ID.
List End Users
Provides a comprehensive list of every active customer profile in the system.
List Projects
Retrieves all currently active projects set up within Wootric.
List Responses
Gathers a list of every survey response submitted across the entire platform.
List Tags
Shows all existing tags used to categorize feedback data.
Onboard Cxi
Activates account features required for Customer Experience Intelligence (CXI).
Update End User
Modifies specific data points or custom properties on an existing end user profile.
Security and governance baked right in.
Pick your AI client below to get set up. Just create a Vinkius account, subscribe, and you're instantly up and running. We handle the entire backend infrastructure, delivering out-of-the-box support for HTTPS Streamable, SSE, and OAuth2—zero messy routing required.
Claude AI
Open Claude Settings
Go to claude.ai, click your profile icon, then navigate to Customize → Connectors.
Add Custom Connector
Click the "+" button and select Add custom connector. Paste your Vinkius endpoint URL:
https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp
Replace [YOUR_TOKEN_HERE] with your token
from cloud.vinkius.com. For OAuth-protected servers, expand
Advanced settings to add credentials.
Start a conversation
Open a new chat. The Wootric integration is available immediately — no restart needed.
Choose How to Get Started
Build a custom MCP for your own tools, or connect a ready-made integration from our catalog.
Build Your Own
Turn any API into an MCP. Import a spec, define Agent Skills, or deploy with MCPFusion.
- Import from OpenAPI, Swagger, or YAML specs
- Create Agent Skills with progressive disclosure
- Deploy to edge with MCPFusion framework
- Built in DLP, auth, and compliance on every call
- Real time usage dashboard and cost metering
- Publish to catalog or keep private
Make Your AI Do More
Start with Wootric, then connect any of our 5,100+ other servers whenever your AI needs more. One click, no limits.
- Use this MCP plus 5,100+ others, all in one place
- Add new capabilities to your AI anytime you want
- Every connection is secured and compliant automatically
- Track usage and costs across all your servers
- Works with Claude, ChatGPT, Cursor, and more
- New servers added to the catalog every week
Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Wootric. 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
Built on the Model Context Protocol (MCP) for 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 connection provides 22 powerful capabilities that interface natively with Claude, ChatGPT, Cursor, and other compatible AI platforms. No middleware. No custom integration required.
The pain of manual data collection is real., Solved with Vinkius AI Gateway
Right now, if you want to know why your customers gave low scores, you have to jump between dashboards. You pull the list from the main dashboard; then you click into a specific user profile to see their history; then you export those comments and manually paste them into a spreadsheet for analysis. It’s tedious, slow, and data gets lost in copy-pasting.
With this MCP, your agent handles the whole process. You ask one question—like 'Show me all responses from users who gave a score of 3 or lower.' The agent uses its tools to gather every piece of related data and hands you a single, consolidated answer.
Wootric gives you immediate insight into user feedback.
You no longer have to manually cross-reference who said what. Instead of exporting reports every week, your agent can run `list_end_user_responses` and pull up a full history for any customer profile using `get_end_user`, all in one conversation.
The difference is control. You get instant, structured data access that moves you from 'I think...' to 'The data shows...'
What your AI can actually do with this
Wootric connects customer experience data directly into your agent. Instead of logging into the platform to pull reports, you can ask your AI client questions about customer sentiment—like 'What was the average NPS score last month?' or 'Show me all responses from users who complained about billing.' The system pulls those answers immediately.
This MCP lets you manage everything from user records and project setups to specific survey comments. Whether you need to update a user's profile, create a new response, or find out why a user declined the survey, your agent handles it. Because this data involves sensitive customer IDs and credentials, every connection passes through Vinkius’s zero-trust proxy.
This means your keys are only used in transit—they never sit on a disk. You get deep visibility into who said what, when they said it, and why.
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Here's how it actually works
The bottom line is your agent becomes an instant analyst for all your customer feedback data.
Start by subscribing to the Wootric MCP using your access token.
Your AI agent then uses the exposed tools—like list_end_users or get_end_user—to pull specific customer data, project details, or response history.
The agent returns clean, structured data that you can use directly in conversation to build reports or make decisions.
Who is this actually for?
Customer Success Managers, Product Managers, and Data Analysts. These are the people who wake up needing to know why customers feel frustrated before they even talk to them.
You need to quickly retrieve a user's complete feedback history, including any recent scores or complaints, so you can personalize the conversation and sound informed.
You analyze groups of survey comments and scores to find patterns. You use this data to build a product roadmap based on what users are actually complaining about.
You pull response metrics directly into your reporting system, eliminating the hours spent manually exporting and cleaning CSV files.
What Changes When You Connect
Stop guessing about user pain points. You can pull a full history for any single customer using list_end_user_responses, letting your agent analyze their journey before you even talk to them.
Keep your product roadmap grounded in reality. By querying survey comments and scores, Product Managers use this data to prioritize fixes based on real user pain points, not gut feeling.
Manage your entire customer database from one place. You can pull a list of every active user using list_end_users or update their properties with update_end_user, keeping your internal CRM in sync instantly.
Never lose track of who needs outreach. Use list_declines to see which users haven't responded, helping you adjust your sampling strategy and focus efforts where they count.
Build custom reports without manual work. The ability to query all responses using list_responses, or filter them by project using list_projects, lets Data Analysts build complex views on the fly.
See it in action
The CSM needs context before a call.
A Customer Success Manager is about to call 'user_alpha'. Instead of spending 15 minutes digging through old reports, they ask their agent: 'What's user_alpha’s feedback history?' The agent runs list_end_user_responses and provides the last three scores and comments immediately.
The PM needs to prove a feature is needed.
A Product Manager wants to convince leadership that they need to fix the billing screen. They ask their agent to pull all responses mentioning 'billing' or 'invoice'. The tool runs list_responses and surfaces dozens of specific comments, backing up the roadmap change.
The Data Analyst needs a clean list of targets.
A marketing analyst needs to run an outreach campaign only on users who haven't responded yet. They ask the agent to pull all records from list_declines, getting a clean, actionable list for their team.
The Support Team needs to update user data.
A support technician discovers that 'customer_99' has outdated company details. They ask the agent to use update_end_user with the new information, ensuring the CRM is immediately correct.
The honest tradeoffs
Treating Wootric like a simple ticketing system.
Trying to just search for keywords in one spot and hoping it finds all related data. The results are usually incomplete or only surface the comment, not the score or user ID.
Always use specific list tools. If you need scores, run list_end_user_responses. If you need a whole profile, start with get_end_user to get the full data object.
Manually exporting data for analysis.
The analyst downloads the last three months of responses into Excel, spends an hour cleaning it up, and then forgets about it until next week. The process is slow and error-prone.
Let your agent query the data directly. Use list_responses to pull everything needed into a structured format that can be used in reports instantly.
Overlooking user context when making changes.
A user profile is updated, but nobody checks if related project tags need fixing or if the old response records are still accurate. Data gets messy and unreliable.
When updating a record using update_end_user or update_project, follow up by checking relevant tools like list_tags to ensure the necessary classification data is also current.
When It Fits, When It Doesn't
Use this MCP if your core job involves diagnosing customer frustration, building products based on sentiment, or needing real-time access to historical feedback scores. You need to know why a user feels a certain way before they even talk to you; that's the sweet spot for Wootric.
Don't use this MCP if your primary goal is simply managing invoices or sending broadcast emails (use an invoicing or messaging tool for that). If you only need basic contact details and don't care about NPS scores, a simple CRM might suffice. This MCP excels at deep data analysis, not transactional outreach.
Questions you might have
How do I check a user's past feedback with the Wootric MCP? +
You use list_end_user_responses and provide the specific end user ID. This pulls all their recorded scores and comments, giving you immediate context for any conversation.
What if I want to update a customer's details? +
You use update_end_user. This lets your agent modify custom properties on an existing user profile without having to delete and re-create the whole record, keeping your data clean.
Can I get all current users using the Wootric MCP? +
Yes. The tool list_end_users provides a complete list of every active user in your system. This is useful for running bulk checks or updates across your entire client base.
What's the best way to categorize comments? +
You first create the category using create_tag, and then you can use other tools to link responses to that tag. This keeps your feedback data organized for easier reporting.
When should I use the `delete_end_user` tool in Wootric? +
You run this when you need to remove a user record entirely. This function handles complete data removal for compliance or cleanup purposes, ensuring that associated profiles are purged from your system.
If I gather survey results manually, how do I use the `create_response` tool? +
You pass the necessary user ID, score, and comment text directly to this function. It records brand new feedback entries in Wootric without requiring a physical survey submission.
Do I need to use the `list_projects` tool if my feedback is tied to specific campaigns? +
Yes, using list_projects lets you see all active campaign containers. You must know the project scope before attempting to associate any responses or updates with them.
What kind of token do I need for this Wootric MCP integration? +
You require a dedicated Wootric Access Token, which you provide during the setup process. This key grants your agent permission to read and write data across all available tools.
How can I see all feedback provided by a specific customer? +
You can use the list_end_user_responses tool by providing the user's ID. This will return all survey scores and comments associated with that specific end user.
Is it possible to update a customer's custom properties through the agent? +
Yes, the update_end_user tool allows you to modify an existing user's email, external ID, and custom properties hash.
What happens when I delete an end user? +
When you use the delete_end_user tool, the user is scheduled for deletion. Wootric processes these requests the next day at 7 AM UTC.
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