> For the complete documentation index, see [llms.txt](https://docs.exoclick.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.exoclick.com/mcp/exoclick-mcp.md).

# ExoClick MCP Server

The ExoClick MCP Server lets you connect AI assistants such as Claude, ChatGPT, Cursor or any custom agent, directly to your ExoClick account through the Model Context Protocol (MCP). Once connected, you can ask questions about your campaign or site performance in plain language and get instant answers, without writing any code or building custom integrations.

{% hint style="info" %}
The ExoClick MCP Server is being actively developed. Here is what is coming next.

**Phase 2:** Read campaigns and zones (early Q3 2026). Access your campaign configurations, zone details, and other account data. This will allow you to ask questions like *How many active campaigns do I have?* or *Show me the blocked labels for zone X.* 

**Phase 3:** Write operations (late Q3 2026). Create, update, and manage campaigns and zones directly through your AI assistant. This will enable workflows like pausing underperforming campaigns, adjusting bids, or updating targeting - all through natural language commands with confirmation prompts before any changes are applied.
{% endhint %}

In the next pages, we will explain what the MCP does and how to connect to it.

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# 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://docs.exoclick.com/mcp/exoclick-mcp.md?ask=<question>&goal=<endgoal>
```

`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.