Unleash MCP Server
About
A Model Context Protocol (MCP) server implementation that integrates with Unleash Feature Toggle system.
Details
- Author
- cuongtl1992
- GitHub stars
- 10
- Downloads
- 215
- Categories
- Other
Jump to
- Check feature flag status from Unleash
- Expose feature flag information to LLMs
- Create and update feature flags
- List all projects via MCP resources
- Supports stdio and HTTP/SSE transport modes
Setting up with Highlight
This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:
- Download and install Highlight from highlightai.com/download
- Navigate to the plugins tab and select "Add Custom Plugin"
-
Configure the plugin with the settings below
Plugin Name
Unleash MCP ServerCommand (node, npx, python, etc.)Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.
- Enable "Start Automatically" if you want the plugin to start when Highlight launches
From the repository
Install dependencies with npm i, build with npm run build, then run with npm start. For Claude or Cursor, add an MCP config using npx -y unleash-mcp and set the environment variables UNLEASH_URL, UNLEASH_API_TOKEN, MCP_TRANSPORT, and MCP_HTTP_PORT. The server supports both stdio and HTTP/SSE transports.
Claude Desktop / Cursor
Paste into your MCP client config file to install this server.
{
"mcpServers": {
"unleash mcp server": {
"unleash-mcp": {
"command": "npx",
"args": [
"@modelcontextprotocol/inspector",
"node",
"dist/index.js"
]
}
}
}
}McpServers
{
"unleash-mcp": {
"command": "npx",
"args": [
"@modelcontextprotocol/inspector",
"node",
"dist/index.js"
]
}
}Unleash MCP Server
A Model Context Protocol (MCP) server implementation that integrates with Unleash Feature Toggle system.
<a href="https://glama.ai/mcp/servers/@cuongtl1992/unleash-mcp">
</a>
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
Table of Contents
- Requirements
- Installation
- Architecture
- Configuration
- Development
- Contributing
- License
Requirements
- Node.js (v18 or higher)
- TypeScript (v5.0 or higher)
- Access to an Unleash server instance
Installation
```bash
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