> For the complete documentation index, see [llms.txt](https://mmfinance.gitbook.io/mad-bucks/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://mmfinance.gitbook.io/mad-bucks/about-usdmad/cronos-partnerships.md). # Cronos Partnerships Lastly, the $MAD token provides an avenue for suitable Cronos NFT projects to integrate into the Mad Meerkat NFT Ecosystem, subject to the agreement of both project teams. We have noticed many partners who are also creating an ecosystem of their own. Instead of every project team having to configure their own and having to work to integrate with others, it would be much more beneficial and efficient to create a more unifying system With the $MAD token, partners can select MM Ecosystem as the ecosystem of choice, and find ways to integrate $MAD into their roadmap. In addition, leveraging on the ecosystem immediately opens up their ecosystem to a large number of users. If you are interested to partner with us, please fill up the following form and contact The Canvas or The Sequence on Discord: . --- # 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://mmfinance.gitbook.io/mad-bucks/about-usdmad/cronos-partnerships.md?ask=&goal= ``` `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.