VOOZH about

URL: https://glama.ai/mcp/servers/cuongtl1992/unleash-mcp

⇱ Unleash MCP (Feature Toggle) by cuongtl1992 | Glama


Unleash MCP Server

A Model Context Protocol (MCP) server implementation that integrates with Unleash Feature Toggle system.

Overview

This project provides a bridge between LLM applications and Unleash feature flag system using the Model Context Protocol (MCP). It allows AI applications to:

  1. Check feature flag status from Unleash

  2. Expose feature flag information to LLMs

  3. Create feature flag

  4. Update feature flag

  5. List all projects

Related MCP server: emqx-mcp-server

Table of Contents

Requirements

  • Node.js (v18 or higher)

  • TypeScript (v5.0 or higher)

  • Access to an Unleash server instance

Installation

# Install dependencies
npm i

Architecture

The Unleash MCP Server acts as a bridge between LLM applications and the Unleash feature flag system:

+----------------+ +-------------------+ +----------------+
| | | | | |
| LLM App | <--> | Unleash MCP | <--> | Unleash API |
| (MCP Client) | | Server | | Server |
| | | | | |
+----------------+ +-------------------+ +----------------+

Development

Project Structure

unleash-mcp-server/
├── src/
│ ├── index.ts # Main entry point
│ ├── server.ts # Server implementation
│ ├── config.ts # Configuration handling
│ ├── transport/ # MCP transport implementations
│ │ ├── http.ts # HTTP/SSE transport
│ │ └── stdio.ts # STDIO transport
│ ├── unleash/ # Unleash API client implementations
│ │ ├── unleash-client.ts # Main Unleash client
│ │ ├── get-feature-flag.ts
│ │ └── get-all-projects.ts
│ ├── resources/ # MCP resource implementations
│ │ ├── flags.ts # Feature flag resources
│ │ └── projects.ts # Project resources
│ ├── tools/ # MCP tool implementations
│ │ ├── get-flag.ts # Get feature flag tool
│ │ └── get-projects.ts # Get projects tool
│ └── prompts/ # MCP prompt implementations
│ ├── flag-check.ts # Check single flag
│ └── batch-flag-check.ts # Check multiple flags
├── tests/ # Tests
└── package.json # Project configuration

Coding Standards

  • Naming Conventions:

    • Files: Use kebab-case.ts (e.g., feature-flag.ts)

    • Classes: Use PascalCase (e.g., UnleashClient)

    • Functions/Methods: Use camelCase (e.g., getFlagStatus)

    • Interfaces/Types: Use PascalCase (e.g., FeatureFlagConfig)

  • Imports:

    • Always include .js extension when importing local files

    • Follow import ordering: Node.js built-ins → External dependencies → Local imports

    • Use named exports over default exports

  • Documentation:

    • Use JSDoc comments for public functions, classes, and interfaces

    • Document complex logic with inline comments

Building

# Compile TypeScript
npm run build

# Run the server
npm start

Testing

# Run tests
npm test

Inspecting

# MCP stdio inspect
npm run build
npx @modelcontextprotocol/inspector node dist/index.js

# MCP sse inspect
npm start
npx @modelcontextprotocol/inspector

How to use

For Claude or Cursor config:

{
 "mcpServers": {
 "unleash": {
 "command": "npx",
 "args": [
 "-y",
 "unleash-mcp"
 ],
 "env": {
 "UNLEASH_URL": "YOUR_UNLEASH_END_POINT",
 "UNLEASH_API_TOKEN": "YOUR_UNLEASH_API_TOKEN",
 "MCP_TRANSPORT": "stdio",
 "MCP_HTTP_PORT": 3001
 }
 }
 }
}

Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

Support the Project

If you find this project helpful, consider buying me a coffee!

Scan the QR code above or click here to support the development of this project.

License

This project is licensed under the MIT License - see the LICENSE file for details.

A
license - permissive license
B
quality
D
maintenance

Maintenance

Maintainers
Response time
Release cycle
Releases (12mo)
Commit activity

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/cuongtl1992/unleash-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server