
Unleash
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.
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
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 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
Alternatives
Related Skills
Browse all skillsUI design system toolkit for Senior UI Designer including design token generation, component documentation, responsive design calculations, and developer handoff tools. Use for creating design systems, maintaining visual consistency, and facilitating design-dev collaboration.
Guide for building TypeScript CLIs with Bun. Use when creating command-line tools, adding subcommands to existing CLIs, or building developer tooling. Covers argument parsing, subcommand patterns, output formatting, and distribution.
Use when working with the OpenAI API (Responses API) or OpenAI platform features (tools, streaming, Realtime API, auth, models, rate limits, MCP) and you need authoritative, up-to-date documentation (schemas, examples, limits, edge cases). Prefer the OpenAI Developer Documentation MCP server tools when available; otherwise guide the user to enable `openaiDeveloperDocs`.
Master API documentation with OpenAPI 3.1, AI-powered tools, and modern developer experience practices. Create interactive docs, generate SDKs, and build comprehensive developer portals. Use PROACTIVELY for API documentation or developer portal creation.
Integrate Vercel AI SDK applications with You.com tools (web search, AI agent, content extraction). Use when developer mentions AI SDK, Vercel AI SDK, generateText, streamText, or You.com integration with AI SDK.
Use when building MCP servers or clients that connect AI systems with external tools and data sources. Invoke for MCP protocol compliance, TypeScript/Python SDKs, resource providers, tool functions.