> 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/install-in-ai-platforms-in-2min/make.md).

# Make

Connect MadKudu to Make

[**Make**](https://www.make.com/en) is a visual automation and AI Agent platform that lets teams build workflows and agents — without writing code.\
It’s especially useful for integrating MadKudu with other tools in your stack, enriching data flows, and running agents based on MadKudu Intelligence.

## Pre-requisite&#x20;

* You have a MadKudu API key. Refer to [this article](/getting-started/quickstart.md) to get your API key.&#x20;
* You are a Make admin.&#x20;

## Add MadKudu MCP as a Connection in a Make Scenario

1. Log into your **Make** account, go to **Scenarios** (yes Scenarios, not Connections, trust me)
2. Click **+ Create a new Scenario**&#x20;
3. Click on the module and search **MCP Client** and click on Call Tool&#x20;
4. Click **+ Create a Connection**
5. Name it **MadKudu MCP** and in the MCP Server drop down select **+ New MCP Server**

<figure><img src="https://1835787252-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FV8CtRF59w8oxkhPMGwwB%2Fuploads%2FYpwBEKTbhvV7ncrSaxjd%2Fimage.png?alt=media&amp;token=27946318-93c8-4116-996f-2508f1b92c30" alt=""><figcaption></figcaption></figure>

6. In the **URL**, enter this URL replacing {YOUR\_MADKUDU\_API\_KEY} with your MadKudu API key

```
https://mcp.madkudu.com/{YOUR_MADKUDU_API_KEY}/mcp
```

7. Click **Save**

The connection is now made and you can see the list of available tools from MadKudu to use.&#x20;

In the **Connections** section of Make you'll find the MadKudu MCP connection you can change at any time


---

# Agent Instructions
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## 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/install-in-ai-platforms-in-2min/make.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.

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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.
