Bring Nps Tracking
to LangChain
Create your Vinkius account to connect Zenloop to LangChain and start using all 8 AI tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code. No hosting, no server setup — just connect and start using.
GDPR Free for SubscribersCompatible with every major AI agent and IDE
Gemini
What is the 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.
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
How it works
- Subscribe to this server
- Enter your Zenloop API Token
- Start managing your customer feedback from Claude, Cursor, or any MCP-compatible client
Who is this for?
- Customer Success Managers — Monitor real-time feedback and NPS trends without opening the dashboard
- Product Managers — Quickly retrieve customer comments related to specific product features or updates
- Data Analysts — Automate the extraction of survey responses for sentiment analysis and reporting
Built-in capabilities (8)
Create a new survey response for an Email Embed channel
Create a new survey response for a Website Embed channel
Create a new survey response for a Link channel
Create a new survey response for a Website Overlay channel
Get Zenloop account information
Get details for a specific survey
Can be filtered by date. List answers (responses) for a survey
List all configured surveys
Why LangChain?
LangChain's ecosystem of 500+ components combines seamlessly with Zenloop through native MCP adapters. Connect 8 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.
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The largest ecosystem of integrations, chains, and agents. combine Zenloop MCP tools with 500+ LangChain components
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Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step
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LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging
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Memory and conversation persistence let agents maintain context across Zenloop queries for multi-turn workflows
Zenloop in LangChain
Why run Zenloop with Vinkius?
The Zenloop connection runs on our fully managed, secure cloud infrastructure. We handle the hosting, maintenance, and security so you don't have to deal with servers or code. All 8 tools are ready to work instantly without any complex setup.
You stay in complete control of your data. Your AI only accesses the information you approve, keeping your sensitive passwords and private details completely safe. Plus, with automatic optimizations, your AI works faster and more efficiently.
* Every connection is hosted and maintained by Vinkius. We handle the security, updates, and infrastructure so you don't have to write code or manage servers. See our infrastructure
Over 4,000 integrations ready for AI agents
Explore a vast library of pre-built integrations, optimized and ready to deploy.
Connect securely in under 30 seconds
Generate tokens to authenticate and link external services in a single step.
Complete visibility into every agent action
Audit live requests, latency, success rates, and active security compliance policies.
Optimize spending and track token ROI
Analyze real-time token consumption and cost metrics detailed by connection.
Explore our live AI Agents Analytics dashboard to see it all working
This dashboard is included when you connect Zenloop using Vinkius. You will never be left in the dark about what your AI agents are doing with your tools.
Zenloop and 4,000+ other AI tools. No hosting, no code, ready to use.
Professionals who connect Zenloop to LangChain through Vinkius don't need to write code, manage servers, or worry about security. Everything is pre-configured, secure, and runs automatically in the background.
Raw MCP | Vinkius | |
|---|---|---|
| Ready-to-use MCPs | Find and configure each manually | 4,000+ MCPs ready to use |
| Connection Setup | Manual coding & server setup | 1-click instant connection |
| Server Hosting | You host it yourself (needs 24/7 uptime) | 100% hosted & managed by Vinkius |
| Security & Privacy | Stored in plaintext config files | Bank-grade encrypted vault |
| Activity Visibility | Blind execution (no logs or tracking) | Live dashboard with real-time logs |
| Cost Control | Runaway AI token spend risk | Automatic budget limits |
| Revoking Access | Must delete files or code to stop | 1-click disconnect button |
How Vinkius secures
Zenloop for LangChain
Every request between LangChain and Zenloop is protected by our secure gateway. We automatically keep your sensitive data private, prevent unauthorized access, and let you disconnect instantly at any time.
Frequently asked questions
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.
How does LangChain connect to MCP servers?
Use langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.
Which LangChain agent types work with MCP?
All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.
Can I trace MCP tool calls in LangSmith?
Yes. All MCP tool invocations appear as traced steps in LangSmith, showing input parameters, response payloads, latency, and token usage.
MultiServerMCPClient not found
Install: pip install langchain-mcp-adapters
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