Full-Scale Lead Gen Automation: Introducing Our REST API and Native MCP Server

In modern marketing and development, speed is everything. The faster a lead hits your CRM, and the less time your team spends manually building assets, the higher your conversion rates.

We’ve always designed our form and quiz builders to be flexible. Today, we’re taking a massive leap forward by opening up our ecosystem for complete external automation.

We are thrilled to announce the official release of two powerful developer tools: our Robust REST API and a Native MCP (Model Context Protocol) Server.

Now, you can manage your forms, quizzes, and lead flows programmatically or use the power of AI agents. Let’s dive into how it works and how it can scale your business.

1. REST API: Complete Control Over Your Data and Tech Stack

Our REST API is built for developers, integration engineers, and product teams who need more flexibility than standard webhooks or rigid No-Code integrations can offer. You now have direct, secure, and lightning-fast access to the core features of the platform.

Key Capabilities:

  • Real-Time Lead Streaming: Push captured leads, custom responses, and user metadata directly into your proprietary CRM, internal ERP, or custom analytical databases (like MySQL, PostgreSQL, or ClickHouse) with zero middleman tools.
  • Dynamic Content Management: Programmatically create, update, or archive quizzes and forms. For instance, you can dynamically tweak questions based on your live inventory or running ad campaigns.
  • Advanced Data Export: Pull comprehensive raw submission tables to build sophisticated in-house dashboards and end-to-end analytics.
For Developers: We have deployed comprehensive, clear documentation covering all available endpoints, request schemas, and response codes.

2. MCP Server: Let AI Agents Build Your Funnels

While the REST API is a classic, dependable tool for engineering teams, our support for the Model Context Protocol (MCP) is our step into the future—where marketing is driven by autonomous AI.

Originally introduced by Anthropic, MCP is an open standard that enables Large Language Models (like Claude or Gemini) to securely interact with external tools and software environments (inside setups like Claude Desktop, Cursor, Windsurf, or Cline).

By launching our own native MCP server, we have removed the barrier between your ideas and your live lead generation funnels.

How it Rewrites Your Workflow:

  • 60-Second Funnel Generation: You no longer need to manually log in to a visual builder to draft a complex setup. Simply open your favorite AI assistant and prompt: "Create a 5-step quiz for a real estate agency, include logical branching, and add a contact capture form at the end." The AI agent will use the MCP protocol to build, structure, and deploy that live form straight into your account.
  • Smart Lead Analysis & Routing: Instruct your AI assistant to read incoming submission metrics through MCP, analyze trends, segment the audience, and automatically draft hyper-personalized follow-up emails for your sales representatives.

Real-World Use Cases: From Idea to Automation

Here is a quick look at what you can orchestrate starting today:

Scenario How It Works The Outome
Custom CRM Sync Data flows directly via API into your internal database the second a user hits "Submit". Zero latency. Your sales reps can call hot leads instantly.
Rapid Hypothesis Testing You ask Claude (via MCP) to spin up 5 alternative quiz layouts targeting different user personas. 5 live funnels ready for A/B testing in under 5 minutes.
AI-Powered Follow-Ups An AI agent reviews submission profiles via MCP and tailors an outreach email template. Prospects receive highly relevant offers addressing their exact pain points.

Getting Started

We’ve made the onboarding process standard, secure, and straightforward.

  1. Create an App: Go to the API section in your personal profile and register a new integration app.
  2. Grab Your Credentials: Once your app is registered, the system will generate a unique Client ID and Client Secret. These will be used to securely authorize your system queries via standard OAuth 2.0 protocol.
  3. Explore the Docs: Check out our official REST API & MCP Documentation to review available methods, endpoints, and authentication workflows.
  4. Configure your MCP Client: Plug your application credentials into your AI workspace configuration file (e.g., claude_desktop_config.json) to grant your AI agent secure access to the protocol.

We firmly believe that SaaS products should be open, modular, and highly scalable. By providing a proper developer platform and adopting the MCP standard, we are giving your teams absolute freedom in how you capture and process leads.

Deploy new funnels, eliminate manual friction, and let us know what you build first!

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