developer-tools

Unleash

by ylin6

Unleash offers seamless integration with the Unleash feature flag system for efficient management across development pro

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

github stars

3

Direct Unleash API integrationSupports multiple flag types (release, experiment, operational, kill-switch)

best for

  • / Development teams using Unleash for feature management
  • / Automating feature flag operations through AI assistants
  • / Managing feature toggles across multiple projects

capabilities

  • / 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

what it does

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

about

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

MIT

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

readme

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

FAQ

What is the Unleash MCP server?
Unleash is a Model Context Protocol (MCP) server profile on explainx.ai. MCP lets AI hosts (e.g. Claude Desktop, Cursor) call tools and resources through a standard interface; this page summarizes categories, install hints, and community ratings.
How do MCP servers relate to agent skills?
Skills are reusable instruction packages (often SKILL.md); MCP servers expose live capabilities. Teams frequently combine both—skills for workflows, MCP for APIs and data. See explainx.ai/skills and explainx.ai/mcp-servers for parallel directories.
How are reviews shown for Unleash?
This profile displays 10 aggregated ratings (sample rows for discoverability plus signed-in user reviews). Average score is about 4.5 out of 5—verify behavior in your own environment before production use.
MCP server reviews

Ratings

4.510 reviews
  • Shikha Mishra· Oct 10, 2024

    Unleash is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.

  • Piyush G· Sep 9, 2024

    We evaluated Unleash against two servers with overlapping tools; this profile had the clearer scope statement.

  • Chaitanya Patil· Aug 8, 2024

    Useful MCP listing: Unleash is the kind of server we cite when onboarding engineers to host + tool permissions.

  • Sakshi Patil· Jul 7, 2024

    Unleash reduced integration guesswork — categories and install configs on the listing matched the upstream repo.

  • Ganesh Mohane· Jun 6, 2024

    I recommend Unleash for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.

  • Oshnikdeep· May 5, 2024

    Strong directory entry: Unleash surfaces stars and publisher context so we could sanity-check maintenance before adopting.

  • Dhruvi Jain· Apr 4, 2024

    Unleash has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.

  • Rahul Santra· Mar 3, 2024

    According to our notes, Unleash benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.

  • Pratham Ware· Feb 2, 2024

    We wired Unleash into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.

  • Yash Thakker· Jan 1, 2024

    Unleash is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.