Zenloop Connector for AI agents.
8 live capabilities
Manage NPS scores and customer survey feedback with your agent.
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Why people use Zenloop
Zenloop for NPS Tracking and Feedback Analysis
With this Connector, you just ask your agent. It pulls the data, summarizes the sentiment, and tells you exactly what is bothering your customers in seconds. You get the answers without the spreadsheet headache.
What Vinkius changes
Your agent gets direct access to your customer feedback data without you having to leave your chat window.
Use it from Claude, ChatGPT, Cursor or another AI client you already have.
One account · 5,900+ Connectors
- Real-world use case 01
Analyzing a drop in NPS
A CSM notices a dip in scores and asks the agent to summarize the last 50 responses from the 'Post-Purchase' survey to find the cause.
- Real-world use case 02
Roadmap planning
A Product Manager asks the agent to find all comments related to 'login issues' in the last month's survey answers to prioritize a fix.
- Real-world use case 03
Automating survey creation
A marketing lead asks the agent to submit a mock response via a link to test a new survey flow before it goes live to customers.
Complete set · 8capabilities
The complete Zenloop capability set.
These are the exact actions your AI can choose when you ask it to work with Zenloop.
01—04
4 capabilities in this set.
Part of 8 available through Zenloop.
- 01 Capability
Get account details
Get your high-level Zenloop account configuration and metadata. This helps your agent understand your current account setup.
- 02 Capability
List survey answers
List all customer responses for a specific survey. You can also filter these results by date to see recent feedback.
- 03 Capability
Create email answer
Create a new survey response specifically for an Email Embed channel. This is useful for automating responses from email campaigns.
- 04 Capability
Create embed answer
Create a new survey response for a Website Embed channel. Use this to programmatically submit feedback from your site.
05—08
4 capabilities in this set.
Part of 8 available through Zenloop.
- 05 Capability
Create link answer
Create a new survey response for a Link channel. This allows your agent to submit feedback via shared URLs.
- 06 Capability
Create overlay answer
Create a new survey response for a Website Overlay channel. This helps manage feedback from pop-up style surveys.
- 07 Capability
Get survey details
Get specific details and configurations for a single survey. It provides the necessary context for a specific survey's setup.
- 08 Capability
List surveys
List every survey currently configured in your Zenloop account. This gives your agent a full overview of your active surveys.
Set up in minutes
One URL. Then ask Zenloop to work.
Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use Zenloop from the conversation.
Choose your client
Live previewAdvanced clients IDE · CLI
Claude · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_3lmEZkQSwyw7ybIwPMgDrxbOKwUgbBd2bjHYUOAT/mcp - Step 01
Open Connectors
In Claude Web or Claude Desktop, open Settings and choose Connectors.
- Step 02
Add the URL
Choose Add custom connector, name it Zenloop, and paste the URL above.
- Step 03
Turn it on in chat
Select +, open Connectors, and enable Zenloop for the conversation.
ChatGPT · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_3lmEZkQSwyw7ybIwPMgDrxbOKwUgbBd2bjHYUOAT/mcp - Step 01
Open MCP settings
On desktop, open Settings and MCP servers. On web, open your workspace app or connector settings.
- Step 02
Add the URL
Choose Add server with Streamable HTTP, or create a custom MCP app, then paste the Zenloop URL.
- Step 03
Save and start
Save the connection and enable Zenloop in your conversation. Desktop may ask you to restart once.
Cursor · IDE configuration
Advanced setup
{
"mcpServers": {
"zenloop": {
"url": "https://edge.vinkius.com/vk_preview_3lmEZkQSwyw7ybIwPMgDrxbOKwUgbBd2bjHYUOAT/mcp"
}
}
} - Step 01
Open MCP Settings
Press Cmd+Shift+P (macOS) or Ctrl+Shift+P (Windows/Linux) → search "MCP Settings"
- Step 02
Add the server config
Paste the JSON configuration above into the mcp.json file that opens
- Step 03
Save the file
Cursor will automatically detect the new Connector
- Step 04
Start using Zenloop
Open Agent mode in chat and ask: "Using Zenloop, help me...". 8 tools available
VS Code Copilot · IDE configuration
Advanced setup
{
"mcpServers": {
"zenloop": {
"url": "https://edge.vinkius.com/vk_preview_3lmEZkQSwyw7ybIwPMgDrxbOKwUgbBd2bjHYUOAT/mcp"
}
}
} - Step 01
Create MCP config
Create a .vscode/mcp.json file in your project root
- Step 02
Add the server config
Paste the JSON configuration above
- Step 03
Enable Agent mode
Open GitHub Copilot Chat and switch to Agent mode using the dropdown
- Step 04
Start using Zenloop
Ask Copilot: "Using Zenloop, help me...". 8 tools available
Windsurf · IDE configuration
Advanced setup
{
"mcpServers": {
"zenloop": {
"url": "https://edge.vinkius.com/vk_preview_3lmEZkQSwyw7ybIwPMgDrxbOKwUgbBd2bjHYUOAT/mcp"
}
}
} - Step 01
Open MCP Settings
Go to Settings → MCP Configuration or press Cmd+Shift+P and search "MCP"
- Step 02
Add the server
Paste the JSON configuration above into mcp_config.json
- Step 03
Save and reload
Windsurf will detect the new server automatically
- Step 04
Start using Zenloop
Open Cascade and ask: "Using Zenloop, help me...". 8 tools available
Cline · IDE configuration
Advanced setup
{
"mcpServers": {
"zenloop": {
"url": "https://edge.vinkius.com/vk_preview_3lmEZkQSwyw7ybIwPMgDrxbOKwUgbBd2bjHYUOAT/mcp"
}
}
} - Step 01
Open Cline MCP Settings
Click the Connectors icon in the Cline sidebar panel
- Step 02
Add remote server
Click "Add Connector" and paste the configuration above
- Step 03
Enable the server
Toggle the server switch to ON
- Step 04
Start using Zenloop
Ask Cline: "Using Zenloop, help me...". 8 tools available
Claude Code · Terminal command
Advanced setup
claude mcp add zenloop --transport http "https://edge.vinkius.com/vk_preview_3lmEZkQSwyw7ybIwPMgDrxbOKwUgbBd2bjHYUOAT/mcp" - Step 01
Install Claude Code
Run npm install -g @anthropic-ai/claude-code if not already installed
- Step 02
Add the Connector
Run the command above in your terminal
- Step 03
Verify the connection
Run claude mcp to list connected servers, or type /mcp inside a session
- Step 04
Start using Zenloop
Ask Claude: "Using Zenloop, show me...". 8 tools are ready
Where the request belongs
Work Zenloop can move forward.
This is for anyone who spends too much time digging through spreadsheets or dashboard filters to figure out why customers are happy or frustrated.
Customer Success Manager
Monitors NPS trends and pulls specific customer comments to handle escalations.
Product Manager
Pulls feedback on specific features to prioritize the product roadmap.
Data Analyst
Automates the collection of survey data for sentiment analysis reports.
Build the capability set
Add more capabilities.
Each Connector adds new actions and data without changing how you work.
Browse ConnectorsCustomerGauge
Equip your AI agent to manage B2B experience, monitor NPS scores, and track revenue impact directly via the CustomerGauge API.
Delighted
Equip your AI agent to monitor customer feedback, track NPS metrics, and manage survey responses via the Delighted API.
Refiner
Survey your SaaS users with in-app micro-surveys that capture NPS, feature feedback, and churn signals at the perfect moment.
Surveypal
Design employee experience surveys and customer feedback programs with analytics that turn responses into actionable improvements.
Medallia
Customer experience management via Medallia. track surveys, responses, and experience programs.
Nicereply
Measure customer satisfaction via Nicereply. track survey responses, ratings, and stats directly from your AI agent.
Bring your own AI
Change the model, client or framework. Keep Zenloop connected.
-
Claude -
ChatGPT -
Gemini -
Cursor -
VS Code -
Windsurf -
ZCode -
Cline -
Zed -
Continue -
Kiro -
Roo Code -
Zencoder -
Goose -
Void -
Augment Code -
Amp -
Qodo -
Tabnine -
Pieces -
Sourcegraph Cody -
JetBrains -
Warp -
Amazon Q -
Antigravity -
BoltAI -
Raycast -
Jan -
LM Studio -
AnythingLLM -
Open WebUI -
Msty -
Cherry Studio -
LibreChat -
TypingMind -
Chorus -
5ire -
n8n -
LangChain -
LlamaIndex -
CrewAI -
Vercel AI SDK
Before you connect
Questions about Zenloop.
The practical details behind the request, access and result.
Can Zenloop MCP help me track my NPS scores?
Yes, it allows your agent to pull real-time NPS scores and customer comments directly from your account.
Can I use Zenloop MCP to see survey answers from a specific date?
Yes, you can ask your agent to list responses filtered by a specific date range.
Does Zenloop MCP work for email surveys?
Yes, it includes capabilities to create and manage responses for email embed channels specifically.
Can I use Zenloop MCP to manage website surveys?
Yes, it supports both website embeds and website overlays for survey responses.
How does Zenloop MCP help with product feedback?
It allows you to quickly retrieve and summarize customer comments related to specific features or updates.
Can Zenloop MCP show me all my active surveys?
Yes, your agent can list every survey currently configured in your Zenloop account at any time.
How do I find my Survey Hash ID?
Use the list_surveys capability 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 capability 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 capabilities (e.g., create_link_answer) to submit scores and comments for any survey channel.
One connection away
Give your agent a direct line to Zenloop.
Connect Zenloop once. Keep it beside 5,900+ managed Connectors when the next task needs more.
Explore every Connector No credit card required · Free tier available