MCP Server

Overview

Model Context Protocol (MCP) is an open protocol that standardizes how applications provide context to large language models (LLMs). The ConfigCat MCP server lets you manage feature flags and configurations via the Public Management API seamlessly from AI tools. It also enables your code editor to understand your feature flags, integrate the appropriate ConfigCat SDK into your project or even create new feature flags directly in your codebase.

Features

• Manage organizations, members and permissions
• Create and update products, configs, and environments
• Manage feature flags and settings
• Manage tags and user segments
• Connect with integrations and webhooks
• Track activity with audit logs and zombie flag (stale flag) reports
• Find code references linked to your features
• Integrate ConfigCat SDK and implement feature flags in your project

Prerequisites

• Node.js version 16 or higher installed
• Public Management API basic auth credentials for ConfigCat MCP server created

Setup

Supply your Public Management API basic auth credentials.

The MCP server's configuration includes the following environment variables:

Variable	Required	Default	Description
CONFIGCAT_API_USER	☑	–	Management API basic auth username.
CONFIGCAT_API_PASS	☑	–	Management API basic auth password.
CONFIGCAT_BASE_URL		https://api.configcat.com	Override API host (rarely needed).

Client Configuration

Cursor

1. Open Preferences → Cursor Settings → MCP & Integrations
2. Click Add Custom MCP
3. Add (or merge) the snippet below into your JSON settings:

{
  "mcpServers": {
    "ConfigCat": {
      "command": "npx",
      "args": ["-y", "@configcat/mcp-server"],
      "env": {
        "CONFIGCAT_API_USER": "YOUR_API_USER",
        "CONFIGCAT_API_PASS": "YOUR_API_PASSWORD"
      }
    }
  }
}

4. Save – the server will start on demand.

Visual Studio Code

1. Create a .vscode/mcp.json file in your project root with the following content:

{
  "servers": {
    "ConfigCat": {
      "command": "npx",
      "args": ["-y", "@configcat/mcp-server"],
      "env": {
        "CONFIGCAT_API_USER": "YOUR_API_USER",
        "CONFIGCAT_API_PASS": "YOUR_API_PASSWORD"
      }
    }
  }
}

2. Save the settings file. The MCP server should now be available in VS Code.

Claude Desktop

1. Open Settings → Developer
2. Click Edit Config
3. In claude_desktop_config.json add:

{
  "mcpServers": {
    "ConfigCat": {
      "command": "npx",
      "args": ["-y", "@configcat/mcp-server"],
      "env": {
        "CONFIGCAT_API_USER": "YOUR_API_USER",
        "CONFIGCAT_API_PASS": "YOUR_API_PASSWORD"
      }
    }
  }
}

4. Save & restart Claude Desktop.

info

Replace CONFIGCAT_API_USER and CONFIGCAT_API_PASS environment variables with your Public Management API basic auth credentials.

Interaction

After you install the ConfigCat MCP server in your AI client, you can prompt your agent to create or manage your feature flags and configurations. Typically you need to click Run tool (or the equivalent option in your AI client) to execute the result.

For example, you could try asking

Create a boolean feature flag called "my_awesome_feature" in the "Backend" config

or

Turn the "my_awesome_feature" flag ON in all environments

or

Update the "my_awesome_feature” flag in dev environment so it’s only enabled for users in Canada

See Also

• ConfigCat MCP server GitHub repository
• ConfigCat MCP server available tools
• Management API Reference