# How to connect ConfigCat MCP with ChatGPT Work

```json
{
  "title": "How to connect ConfigCat MCP with ChatGPT Work",
  "toolkit": "ConfigCat",
  "toolkit_slug": "configcat",
  "framework": "ChatGPT Work",
  "framework_slug": "chatgpt",
  "url": "https://composio.dev/toolkits/configcat/framework/chatgpt",
  "markdown_url": "https://composio.dev/toolkits/configcat/framework/chatgpt.md",
  "updated_at": "2026-08-14T06:05:34.409Z"
}
```

## Introduction

### How to connect ConfigCat 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 ConfigCat account to ChatGPT Work via Composio Connect, so it can list production feature flags currently enabled, create staging flag for beta checkout, audit rollout rules for mobile app through natural language commands without ever putting your account credentials at risk.

## Also integrate ConfigCat with

- [Claude Cowork](https://composio.dev/toolkits/configcat/framework/claude-cowork)
- [Hermes](https://composio.dev/toolkits/configcat/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 ConfigCat 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 ConfigCat 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 ConfigCat 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 ConfigCat 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 ConfigCat MCP server, and what's possible with it?

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

## Supported Tools

| Tool slug | Name | Description |
|---|---|---|
| `CONFIGCAT_CREATE_SETTING` | Create Flag or Setting | Create a feature flag or typed setting in a Config. The key must be unique within that Config. |
| `CONFIGCAT_DELETE_SETTING` | Delete Flag or Setting | Permanently delete one ConfigCat feature flag or setting by ID. This cannot be undone; verify the setting ID before calling. |
| `CONFIGCAT_GET_PRODUCT_CONTEXT` | Get Product Context | Return a ConfigCat Product's configs, environments, segments, and tags, including the identifiers and evaluation versions needed to manage flags and targeting. |
| `CONFIGCAT_GET_SETTING_VALUE_V2` | Get Environment Setting Value V2 | Get one Config V2 flag or setting's complete evaluation formula in an Environment, including its optimistic-concurrency version. |
| `CONFIGCAT_LIST_ACCOUNT_HIERARCHY` | List Account Hierarchy | List accessible ConfigCat organizations and products so an agent can resolve the IDs needed by product-scoped tools. |
| `CONFIGCAT_LIST_ENVIRONMENT_VALUES_V2` | List Environment Values V2 | Return every Config V2 feature flag and setting evaluation formula for one Config and Environment, preserving ordered targeting rules and concurrency versions while omitting parent objects and updater data. |
| `CONFIGCAT_LIST_SETTINGS` | List Flags and Settings | List feature flags and settings in one Config, including IDs, keys, types, tags, and metadata needed by value operations. |
| `CONFIGCAT_PATCH_SETTING_VALUE_V2` | Patch Environment Setting Value V2 | Update selected typed fields of one Config V2 evaluation formula while preserving every field the caller omits. |
| `CONFIGCAT_REPLACE_SETTING_VALUE_V2` | Replace Environment Setting Value V2 | Completely replace one Config V2 flag or setting evaluation formula in an Environment. Supply the complete default value, ordered targeting rules, and percentage attribute; omitted state is intentionally reset. |
| `CONFIGCAT_UPDATE_SETTING_METADATA` | Update Flag Metadata | Partially update a flag or setting's name, hint, or complete tag assignment without resetting untouched metadata. |

## Supported Triggers

None listed.

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

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

## Complete Code

None listed.

## How to build ConfigCat MCP Agent with another framework

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

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## Frequently Asked Questions

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

With a standalone ConfigCat MCP server, the agents and LLMs can only access a fixed set of ConfigCat tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from ConfigCat 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 ConfigCat tools.

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

Yes, absolutely. You can configure which ConfigCat 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 ConfigCat data and credentials are handled as safely as possible.

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