# How to connect Contentsquare MCP with ChatGPT Work

```json
{
  "title": "How to connect Contentsquare MCP with ChatGPT Work",
  "toolkit": "Contentsquare MCP",
  "toolkit_slug": "contentsquare_mcp",
  "framework": "ChatGPT Work",
  "framework_slug": "chatgpt",
  "url": "https://composio.dev/toolkits/contentsquare_mcp/framework/chatgpt",
  "markdown_url": "https://composio.dev/toolkits/contentsquare_mcp/framework/chatgpt.md",
  "updated_at": "2026-09-01T05:38:38.881Z"
}
```

## Introduction

### How to connect Contentsquare MCP with ChatGPT Work
[ChatGPT Work](https://openai.com/chatgpt-work/) is an agent inside ChatGPT built for your most ambitious work. It takes action across your apps and files, stays with a project for hours, and turns a goal into finished materials like sheets, slides, and docs - not just answers.
In this guide, I will explain the easiest and most secure way to connect your Contentsquare account to ChatGPT Work via Composio Connect, so it can fetch session replays, query funnel conversion rates, retrieve project metrics, list top pages, and export custom reports through natural language commands without ever putting your account credentials at risk.

## Also integrate Contentsquare MCP with

- [Claude Cowork](https://composio.dev/toolkits/contentsquare_mcp/framework/claude-cowork)
- [Hermes](https://composio.dev/toolkits/contentsquare_mcp/framework/hermes-agent)

## TL;DR

### Why use Composio over default connectors?
- Apps with read and write access. Default connectors mostly can read your data. Composio's Contentsquare integration lets ChatGPT Work take actions like creating drafts, sending updates, labeling records, and more.
- 1,000+ SaaS toolkits out of the box. Composio gives you instant access to a vast catalog of pre-built connectors, from Gmail and Slack to Notion, Linear, and Salesforce.
- One MCP server for every app. Connect any of your applications on demand through a single endpoint, rather than juggling a separate server for each app.
- Smart, context-aware tool loading. Unlike traditional MCP servers that dump every available tool into the LLM context window, Composio searches for and loads only the tools relevant to the task at hand.
- Cross-app automation. Chain actions across multiple apps in a single run - fetch a thread, summarize it in Notion, and post highlights to Slack without leaving the conversation.

## Connect Contentsquare MCP to ChatGPT Work

### Prerequisites
- A ChatGPT account with access to ChatGPT Work (rolling out across Pro, Enterprise, Edu, Plus, and Business plans). We will use the [ChatGPT desktop app](https://openai.com/chatgpt/download/), which is available on every plan.
- Access to the Contentsquare workspace you want to connect.
- [Composio MCP](https://dashboard.composio.dev/login?utm_source=toolkits&utm_medium=framework_template&utm_campaign=chatgpt&utm_content=composio_connect&next=%2F~%2Forg%2Fconnect%2Fclients%2Fchatgpt).
Note: Composio connects through OAuth. You will be asked to sign in and approve specific permissions. Review the permission screen carefully if you are using a work account.
### Step-by-step: Connect Contentsquare to ChatGPT Work
### 1. Open the MCP settings
In ChatGPT Work, go to Settings and open the Plugins section. Inside the Plugins page, click the MCP tab.
### 2. Add the server
Click Add server. In the Name field enter Composio, for Type select Streamable HTTP, and in the URL field paste the Composio MCP server URL:

```bash
https://connect.composio.dev/mcp
```

## What is the Contentsquare MCP server, and what's possible with it?

The Contentsquare MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Contentsquare account. It provides structured and secure access so your agent can perform Contentsquare operations on your behalf.

## Supported Tools

| Tool slug | Name | Description |
|---|---|---|
| `CONTENTSQUARE_MCP_COMPUTE_FUNNEL` | Computefunnel | Computes funnel analysis to measure drop-offs and conversions across key steps in a user journey. Analyzes conversion rates, drop-off points, and time to completion across up to 32 steps. |
| `CONTENTSQUARE_MCP_COMPUTE_IMPACT` | Computeimpact | Computes impact quantification analysis comparing conversion performance between segments. Provides metrics including conversion rates, bounce rates, session time, pageviews, and revenue impact with statistical significance testing. |
| `CONTENTSQUARE_MCP_COMPUTE_JOURNEY` | Computejourney | Computes user navigation journeys, visualizing how visitors navigate your site. Provides hierarchical tree structure showing common paths, drop-off points, and navigation patterns. Supports forward (from landing pages) and reverse (from exit pages) analysis up to 7 steps. |
| `CONTENTSQUARE_MCP_COMPUTE_PAGE_COMPARISON` | Computepagecomparison | Computes page comparison analysis comparing key performance metrics across multiple page groups (2-10). Provides metrics: views, bounce rate, exit rate, scroll rate, time spent, activity level, load times, and conversion rates. |
| `CONTENTSQUARE_MCP_COMPUTE_PAGE_GROUP_METRICS` | Computepagegroupmetrics | Compute page metrics, at the page group level. Use it to get an overview of the performance of the fraction of the website. |
| `CONTENTSQUARE_MCP_COMPUTE_SITE_METRICS` | Computesitemetrics | Computes aggregated metrics across the entire website. Returns data grouped by specified dimensions (device, date, browser, country, etc.). Filters: time period (startDateTime/endDateTime), device type (DESKTOP/MOBILE/TABLET/ALL), conversion goals (goalId), or advanced user filters (userFilter for browsers, goals, segments, page interactions). Use dimensions parameter to group results. Defaults to no grouping if not specified. |
| `CONTENTSQUARE_MCP_GET_PAGE_GROUPS_FOR_MAPPING` | Getpagegroupsformapping | Retrieve all page groups for a specific mapping, sorted alphabetically by name. |
| `CONTENTSQUARE_MCP_GET_TOP_ERRORS_BY_IMPACT_ON_GOAL` | Gettoperrorsbyimpactongoal | Get top errors ranked by impact on conversion goals. Shows business-critical errors affecting revenue and conversions. USE for: business impact analysis, revenue-critical issues, prioritizing fixes by business value, conversion impact of errors. Requires mappingId and goalId to analyze goal-specific impact. |
| `CONTENTSQUARE_MCP_GET_TOP_ERRORS_BY_MISSED_OPPORTUNITY` | Gettoperrorsbymissedopportunity | Get top errors ranked by missed business opportunities (eCommerce focused). Shows revenue impact of errors. USE for: eCommerce missed revenue opportunities, lost sales analysis, revenue impact of errors. Always uses goalId -1 for eCommerce analysis. Requires mappingId. |
| `CONTENTSQUARE_MCP_GET_TOP_ERRORS_BY_SESSIONS_WITH_ERRORS` | Gettoperrorsbysessionswitherrors | Get top errors ranked by sessions with errors. Main widget for general error analysis showing error trends, rates, and most frequent errors. USE for: general error questions, error trends, most frequent errors, volume comparisons, overall error patterns. This is the primary tool for error analysis. |
| `CONTENTSQUARE_MCP_GET_TOP_PAGE_GROUPS_BY_LOST_CONVERSIONS` | Gettoppagegroupsbylostconversions | Get page groups ranked by lost conversions due to errors. Shows business impact of errors by page groups. USE for: page group impact analysis, page-level conversions, top pages losing conversions, business impact by page groups. Requires mappingId and goalId to analyze conversion impact. |
| `CONTENTSQUARE_MCP_GET_TOP_PAGES_BY_SESSIONS_WITH_ERRORS` | Gettoppagesbysessionswitherrors | Get pages most affected by errors in a scatter plot comparing error volume with page traffic. USE for: identifying pages most affected by technical issues, development resource focus, scatter plot analysis of pages vs error rates. Supports both 'pagegroups' (default) for category-level analysis and 'pages' for detailed URL-level analysis. Requires mappingId parameter. |
| `CONTENTSQUARE_MCP_LIST_PROJECTS` | Listprojects | Returns a list of projects (id and name) accessible to the user |
| `CONTENTSQUARE_MCP_RECOMMEND_GOALS` | Recommendgoals | Recommend goals based on user engagement and usage frequency (how often goals are viewed, used in analyses, etc.) within the platform. |
| `CONTENTSQUARE_MCP_RECOMMEND_MAPPINGS` | Recommendmappings | Recommend mappings based on user engagement and usage frequency (how often mappings are viewed, used in analyses, etc.) within the platform. |
| `CONTENTSQUARE_MCP_RECOMMEND_PAGE_GROUPS` | Recommendpagegroups | Recommend page groups based on user engagement and usage frequency (how often page groups are viewed, used in analyses, etc.) within the platform. |
| `CONTENTSQUARE_MCP_RECOMMEND_SEGMENTS` | Recommendsegments | Recommend segments based on user engagement and usage frequency (how often segments are viewed, used in analyses, etc.) within the platform. A project with no recent engagement data falls back to the most recently updated segments instead. - This tool cannot page. When `total` exceeds `returned`, raise `limit` instead |
| `CONTENTSQUARE_MCP_SEARCH_GOALS` | Searchgoals | Search and retrieve goals for a project. |
| `CONTENTSQUARE_MCP_SEARCH_MAPPINGS` | Searchmappings | Search and retrieve mappings for a project. |
| `CONTENTSQUARE_MCP_SEARCH_SEGMENTS` | Searchsegments | Search and retrieve segments for a project, optionally filtered by name. - To find a segment by name, pass `text` rather than listing segments and scanning the result: the filter is applied before any row limit, so a filtered answer is complete even on a project too large to list. Pass one contiguous fragment of the name, not several words that may not be adjacent - NEVER describe a segment list as complete unless `offset` plus `returned` equals `total` — on a single call `offset` is 0, and while paging it is the position of the page in hand. `returned` counts one page, so on its own it reaches `total` only when the whole list fits in one - When a response carries `nextOffset`, pass it back as `offset` to read the next page; its absence means no further page can be read — which is not the same as having reached `total` - Every page of a large project costs a full read of it, so do not walk one in default-sized pages: narrow with `text` where the task allows it, and where the whole list is genuinely needed raise `limit` so it arrives in as few calls as possible |
| `CONTENTSQUARE_MCP_SUBMIT_MCP_FEEDBACK` | Submitmcpfeedback | Submit feedback about your MCP server experience. Help us improve by rating tools and sharing your thoughts! |

## Supported Triggers

None listed.

## Creating MCP Server - Stand-alone vs Composio SDK

Once connected, ChatGPT Work can access the Contentsquare MCP server via Composio to run actions that you authorize, directly in your workspace.

## Complete Code

None listed.

## How to build Contentsquare MCP Agent with another framework

- [Claude Cowork](https://composio.dev/toolkits/contentsquare_mcp/framework/claude-cowork)
- [Hermes](https://composio.dev/toolkits/contentsquare_mcp/framework/hermes-agent)

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## Frequently Asked Questions

### What are the differences in Tool Router MCP and Contentsquare MCP?

With a standalone Contentsquare MCP server, the agents and LLMs can only access a fixed set of Contentsquare tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from Contentsquare and many other apps based on the task at hand, all through a single MCP endpoint.

### Can I use Tool Router MCP with ChatGPT Work?

Yes, you can. ChatGPT Work fully supports MCP integration. You get structured tool calling, message history handling, and model orchestration while Tool Router takes care of discovering and serving the right Contentsquare tools.

### Can I manage the permissions and scopes for Contentsquare while using Tool Router?

Yes, absolutely. You can configure which Contentsquare scopes and actions are allowed when connecting your account to Composio. You can also bring your own OAuth credentials or API configuration so you keep full control over what the agent can do.

### How safe is my data with Composio Tool Router?

All sensitive data such as tokens, keys, and configuration is fully encrypted at rest and in transit. Composio is SOC 2 Type 2 compliant and follows strict security practices so your Contentsquare data and credentials are handled as safely as possible.

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