# The MCP Layer

Beyond the AI Market Maker Github, we offer a range of other MCPs, including Dune Analytics for on-chain data exploration, KOL Sentiment for tracking influencer insights, and more, enabling diverse and tailored trading strategies.

<figure><img src="https://lh7-rt.googleusercontent.com/docsz/AD_4nXcx-tPb-2KCUAr_G1iiunZr989aq8vahl984z6U1UOZTTJ_XoaGZCzyVsOcOkUGN6-usB1rLL4JbTK0NXMNRzZfZJCBFSv6qL8NB0qaXDKNI62QFYAP8j7BiNbI7lP-i-xN0vt8?key=FMXZ9QAE_hW0OXlJnSoocA" alt=""><figcaption></figcaption></figure>

The agent is seamlessly composed and built on our Agent Builder Portal, where users can easily connect MCP toolkits and agents to create customised workflows. The intuitive UI allows for drag-and-drop integration, enabling rapid deployment of powerful trading agents.

<figure><img src="/files/1NK5a63gDkiuIsA7qjHL" alt=""><figcaption></figcaption></figure>


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# Agent Instructions: 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:

```
GET https://olaxbt-docs.gitbook.io/olaxbt-doc/technical-architecture/the-mcp-layer.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
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.