> For the complete documentation index, see [llms.txt](https://knowledge.aterio.io/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://knowledge.aterio.io/data-delivery-options/model-context-protocol-mcp.md).

# Model Context Protocol (MCP)

Make Aterio data available directly to your AI tools and agents through the Model Context Protocol, so they can query it as part of a workflow, with the full connected dataset behind it.

Built for teams working in AI-native environments who want infrastructure and market data reachable by their assistants.

•  Your team works with AI assistants and agents day to day

•  You want Aterio data usable inside those workflows, not copied around

•  You're building agentic or AI-driven analysis on top of our data

<figure><img src="/files/JOpYSKbKBHrq0AbASt0w" alt=""><figcaption></figcaption></figure>

### What you can do with it

•  Let your AI tools pull Aterio data on demand during a task

•  Ask questions that follow the connections: the companies behind a project, or the power supplying a data center

•  Ground assistant answers in current, structured data instead of guesses

•  Build agent workflows that reason over our datasets across products

### How access works

MCP access is set up with you during onboarding and scoped to your subscribed products.

***

**Ready to see the data?** A short call is the best way to see it in action and find the setup that fits. [Book a call →](https://www.aterio.io/contact-us)


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# 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 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:

```
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```

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