Zenloop MCP Server for Cursor 8 tools — connect in under 2 minutes
Cursor is an AI-first code editor built on VS Code that integrates LLM-powered coding assistance directly into the development workflow. Its Agent mode enables autonomous multi-step coding tasks, and MCP support lets agents access external data sources and APIs during code generation.
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{
"mcpServers": {
"zenloop": {
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
}
}
}
* 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 Zenloop MCP Server
Connect your Zenloop account to any AI agent to streamline your Net Promoter System (NPS) and customer feedback management. This MCP server enables your agent to interact with surveys, responses (answers), and account metadata directly from natural language.
Cursor's Agent mode turns Zenloop into an in-editor superpower. Ask Cursor to generate code using live data from Zenloop and it fetches, processes, and writes. all in a single agentic loop. 8 tools appear alongside file editing and terminal access, creating a unified development environment grounded in real-time information.
What you can do
- Survey Oversight — List all your active and historical surveys and retrieve their detailed summaries
- Feedback Extraction — List customer answers and responses for any survey, filtered by date range
- Response Generation — Programmatically create new survey answers across Link, Email, and Website channels
- Performance Monitoring — Access NPS scores and comments to track customer sentiment in real-time
- Account Visibility — Retrieve high-level account configuration and metadata for your Zenloop project
The Zenloop MCP Server exposes 8 tools through the Vinkius. Connect it to Cursor 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 Zenloop to Cursor via MCP
Follow these steps to integrate the Zenloop MCP Server with Cursor.
Open MCP Settings
Press Cmd+Shift+P (macOS) or Ctrl+Shift+P (Windows/Linux) → search "MCP Settings"
Add the server config
Paste the JSON configuration above into the mcp.json file that opens
Save the file
Cursor will automatically detect the new MCP server
Start using Zenloop
Open Agent mode in chat and ask: "Using Zenloop, help me...". 8 tools available
Why Use Cursor with the Zenloop MCP Server
Cursor AI Code Editor provides unique advantages when paired with Zenloop through the Model Context Protocol.
Agent mode turns Cursor into an autonomous coding assistant that can read files, run commands, and call MCP tools without switching context
Cursor's Composer feature can generate entire files using real-time data fetched through MCP. no copy-pasting from external dashboards
MCP tools appear alongside built-in tools like file reading and terminal access, creating a unified agentic environment
VS Code extension compatibility means your existing workflow, keybindings, and extensions all work alongside MCP tools
Zenloop + Cursor Use Cases
Practical scenarios where Cursor combined with the Zenloop MCP Server delivers measurable value.
Code generation with live data: ask Cursor to generate a security report module using live DNS and subdomain data fetched through MCP
Automated documentation: have Cursor query your API's tool schemas and generate TypeScript interfaces or OpenAPI specs automatically
Infrastructure-as-code: Cursor can fetch domain configurations and generate corresponding Terraform or CloudFormation templates
Test scaffolding: ask Cursor to pull real API responses via MCP and generate unit test fixtures from actual data
Zenloop MCP Tools for Cursor (8)
These 8 tools become available when you connect Zenloop to Cursor via MCP:
create_email_answer
Create a new survey response for an Email Embed channel
create_embed_answer
Create a new survey response for a Website Embed channel
create_link_answer
Create a new survey response for a Link channel
create_overlay_answer
Create a new survey response for a Website Overlay channel
get_account_details
Get Zenloop account information
get_survey_details
Get details for a specific survey
list_survey_answers
Can be filtered by date. List answers (responses) for a survey
list_surveys
List all configured surveys
Example Prompts for Zenloop in Cursor
Ready-to-use prompts you can give your Cursor agent to start working with Zenloop immediately.
"List all active surveys in my Zenloop account."
"Show me customer responses for survey ID 'abc123xyz' from last week."
"Submit a Link response for survey 'abc123' with score 10 and comment 'Amazing experience!'."
Troubleshooting Zenloop MCP Server with Cursor
Common issues when connecting Zenloop to Cursor through the Vinkius, and how to resolve them.
Tools not appearing in Cursor
Server shows as disconnected
Zenloop + Cursor FAQ
Common questions about integrating Zenloop MCP Server with Cursor.
What is Agent mode and why does it matter for MCP?
Where does Cursor store MCP configuration?
mcp.json file. You can configure servers at the project level (.cursor/mcp.json in your project root) or globally (~/.cursor/mcp.json). Project-level configs take precedence.Can Cursor use MCP tools in inline edits?
How do I verify MCP tools are loaded?
Connect Zenloop with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
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GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
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Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Zenloop to Cursor
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.
