> 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 by asking a question.

Perform an HTTP GET request on the following URL with the `ask` and `goal` query parameters:

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

`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
`goal` is what the user is ultimately trying to achieve, the reason they need the answer. Sharing it helps GitBook give you a better, more relevant answer. A goal is most helpful when it describes the outcome the user wants rather than restating the question. For example, with `ask=how do I create an API token`, a goal like `automate deployments from our CI pipeline` lets GitBook tailor the answer to that use case.

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.