Unleash

Unleash

ylin6

Connects to Unleash feature flag management systems to create, retrieve, and manage feature flags across development projects through an MCP interface.

Provides a bridge to the Unleash feature flag management system, enabling dynamic creation, retrieval, and management of feature flags across different development projects.

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What it does

  • Retrieve all projects from Unleash instances
  • Get feature flags within specific projects
  • Create new feature flags with descriptions and types
  • Update existing feature flag properties
  • Query specific feature flag details

Best for

Development teams using Unleash for feature managementAutomating feature flag operations through AI assistantsManaging feature toggles across multiple projects
Direct Unleash API integrationSupports multiple flag types (release, experiment, operational, kill-switch)

About Unleash

Unleash is a community-built MCP server published by ylin6 that provides AI assistants with tools and capabilities via the Model Context Protocol. Unleash offers seamless integration with the Unleash feature flag system for efficient management across development pro It is categorized under developer tools.

How to install

You can install Unleash in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport.

License

Unleash is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.

Unleash Feature Flag MCP Server

This repository contains a Model Context Protocol (MCP) server for interacting with Unleash feature flag management system. It allows AI agents to manage feature flags through the Unleash API.

What is MCP?

The Model Context Protocol (MCP) is a specification for enabling AI models to interact with external tools and data sources. This server implements the MCP protocol for Unleash, allowing AI assistants to manage feature flags programmatically.

Installation

You can install the package from npm:

npm install -g @ylin6/unleash-ff-mcp-server

Or run it directly using npx:

npx @ylin6/unleash-ff-mcp-server

Configuration

The server requires the following environment variables:

  • UNLEASH_API_URL: The URL of your Unleash API instance
  • UNLEASH_AUTH_TOKEN: The authentication token for your Unleash instance

Available Tools

The MCP server provides the following tools for managing feature flags:

Get Projects

Retrieves a list of all projects in the Unleash instance.

Get Features

Retrieves all feature flags within a specific project.

Parameters:

  • projectId: The ID of the project

Create Feature Flag

Creates a new feature flag within a project.

Parameters:

  • projectId: The ID of the project
  • name: The name of the feature flag
  • description: A description of the feature flag
  • type: The type of the feature flag (e.g., "release", "experiment", "operational", "kill-switch")

Update Feature Flag

Updates an existing feature flag.

Parameters:

  • projectId: The ID of the project
  • featureId: The ID of the feature flag
  • description: A new description for the feature flag
  • type: A new type for the feature flag

Get Feature Flag

Retrieves details about a specific feature flag.

Parameters:

  • projectId: The ID of the project
  • featureId: The ID of the feature flag

Using with Cursor

To use this MCP server with Cursor, use the following command in your cursor settings

env UNLEASH_API_URL=XXXX UNLEASH_AUTH_TOKEN=XXX npx -y @ylin6/unleash-ff-mcp-server

Examples

Example conversation with Cursor/Claude:

You: Show me all the feature flags in the 'dashboard' project

Claude: I'll fetch all the feature flags in the 'dashboard' project for you.
[Claude uses the getFeatures tool with projectId='dashboard']

Claude: Here are all the feature flags in the 'website' project:
- new-homepage (type: release)
- dark-mode (type: experiment)
- beta-footer (type: operational)
...

Development

To inspect the MCP server's operations, you can run:

npm run inspect

This uses the MCP inspector to analyze request/response patterns.

License

ISC

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