> For the complete documentation index, see [llms.txt](https://developers.madkudu.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://developers.madkudu.com/madkudu-mcp/madkudu-mcp-playground.md).

# MadKudu MCP Playground

MadKudu MCP Playground is your sandbox to explore how AI agents can natively interact with MadKudu’s Public API via Model Context Protocol (MCP).

Whether you're testing automations, building AI sales assistants, or evaluating integration workflows, this playground gives you live access to MadKudu API capabilities packaged into reusable MCP tools.

:point\_right: <https://madkudu-mcp-demo.vercel.app/agents>

### 🔍 What is this?

The Playground is a web-based environment where you can experience

* running a chatGPT prompt powered by **MadKudu MCP**&#x20;
* creating and running an agent&#x20;
* testing MadKudu MCP tools available&#x20;

This allows you to get a sneak peak at what’s possible with MadKudu + agents, without writing code or installing on your tools yet.&#x20;


---

# Agent Instructions
This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com.

## Querying This Documentation
If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter, and the optional `goal` query parameter:

```
GET https://developers.madkudu.com/madkudu-mcp/madkudu-mcp-playground.md?ask=<question>&goal=<endgoal>
```

`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
`goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal.

The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.