---
title: Contentsquare MCP server - MCP
description: Query your Contentsquare data in natural language from AI clients such as Claude, ChatGPT, and Microsoft Copilot with the Contentsquare MCP server.
source_url:
  html: https://docs.contentsquare.com/en/mcp/
  md: https://docs.contentsquare.com/en/mcp/index.md
---

> ## Documentation index
> Fetch the complete documentation index at: https://docs.contentsquare.com/llms.txt
> Use this file to discover all available pages before exploring further.

The Contentsquare MCP server lets you query your Contentsquare data directly from AI tools using natural language. Model Context Protocol (MCP) is a standardized framework that lets AI models connect to external data sources. The Contentsquare MCP server acts as a secure bridge between your AI client and your analytics data, with no exports or dashboards needed.

## Before you start

This MCP server lets you connect third-party AI agents and tools to your Contentsquare data. Before you enable any such tool, review it and confirm that it meets your organization's own security, privacy, and data-handling policies.

* **Who can set it up.** Only Customer Admins can set up the MCP integration and manage who else can use it. Admins can grant access to other users, teams, or the whole account from **Account settings** > **Connected apps** > **User access**. This includes non-admin users and Contentsquare employees (for example, CSMs) or partners. See [Manage access](https://docs.contentsquare.com/en/mcp/manage-access/).
* **What you can query.** You can only access projects where you already have Contentsquare permissions.
* **How sign-in works.** Most AI agents, such as Claude and ChatGPT, register with Contentsquare automatically the first time you connect them. Some tools, such as Gemini Enterprise, need an application with a Client ID and Client secret. See [Manage applications](https://docs.contentsquare.com/en/mcp/applications/).
* **Security.** Data transfer is secured with OAuth. Access tokens expire after one hour, and the AI agent refreshes them automatically.

The MCP server URL is:

```text
https://api.contentsquare.com/mcp
```

You can also follow the setup steps in Contentsquare: click **Analysis setup** in the main menu, then **Model Context Protocol (MCP)**, and select your AI agent.

## Set up your AI client

Select your AI client to see setup instructions. Once connected, you can query your Contentsquare data using natural language.

* [Claude](https://docs.contentsquare.com/en/mcp/claude/)

* [ChatGPT](https://docs.contentsquare.com/en/mcp/chatgpt/)

* [Microsoft Copilot](https://docs.contentsquare.com/en/mcp/microsoft-copilot/)

* [Gemini Enterprise](https://docs.contentsquare.com/en/mcp/gemini-enterprise/)

* [Dust](https://docs.contentsquare.com/en/mcp/dust/)

* [VS Code](https://docs.contentsquare.com/en/mcp/vscode/)

* [Cursor](https://docs.contentsquare.com/en/mcp/cursor/)

* [Amazon Quick](https://docs.contentsquare.com/en/mcp/amazon-quick/)

* [Other tools](https://docs.contentsquare.com/en/mcp/other-tools/)

## Manage MCP access

* [Manage access](https://docs.contentsquare.com/en/mcp/manage-access/): grant, review, and revoke who can connect AI agents.
* [Manage applications](https://docs.contentsquare.com/en/mcp/applications/): create, rotate, rename, and delete applications for tools that need a Client ID and Client secret.
* [Troubleshooting and FAQ](https://docs.contentsquare.com/en/mcp/faq/): fix connection problems and find answers about data use.


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