Zelinqa

Zelinqa selects the next useful question, at the right time, based on what you already know, what remains to be understood, and the conversation’s context. Organize your questions into dimensions, choose a qualification depth, then integrate Zelinqa through the SDK or MCP. Your application controls the interface, wording, and when the conversation ends.

Quickstart

A first exchange with Python or TypeScript, on a single page.

Connect the MCP server

Use Zelinqa from a compatible host without managing technical identifiers.

What you prepare

Element	Example	Purpose
Domain	Project qualification	Your configuration workspace.
Dimensions	Needs, budget, timeline	The topics to explore during the conversation.
Questions	“When would you like to start?”	The wording Zelinqa can suggest.
Information to collect	A start date	Structured data your application needs.
Qualification level	Balanced	The depth expected for each dimension.

How does an exchange work?

Your application gets a question and presents it to the person.
It sends their answer to Zelinqa.
Zelinqa updates known information and progress, then selects what comes next in context.

One answer may provide information about several dimensions. Already-known data may avoid a question. The goal is not to go through an entire question list.

Zelinqa is not a complete chatbot: it integrates with your agent, dynamic form, or application. The SDK and MCP use the same API.

Prepare and explore

Create your domain in Zelinqa Studio.
Understand dimensions and qualification levels.
Browse the SDK reference for available methods.
Browse the API reference for direct HTTP integrations or another language.

Get started

Guides

References

Resources

Quickstart

Connect the MCP server

What you prepare

How does an exchange work?

Prepare and explore

Quickstart

Connect the MCP server

​What you prepare

​How does an exchange work?

​Prepare and explore

What you prepare

How does an exchange work?

Prepare and explore