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.
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 instanceUNLEASH_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 projectname: The name of the feature flagdescription: A description of the feature flagtype: 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 projectfeatureId: The ID of the feature flagdescription: A new description for the feature flagtype: A new type for the feature flag
Get Feature Flag
Retrieves details about a specific feature flag.
Parameters:
projectId: The ID of the projectfeatureId: 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.
Ratings
4.5★★★★★10 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.