What are the requirements?
Node.js v18 or higher, TypeScript v5.0 or higher, and access to an Unleash server instance.
@cuongtl1992
基本信息
A Model Context Protocol (MCP) server implementation that integrates with Unleash Feature Toggle system.
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"unleash-mcp": {
"command": "npx",
"args": [
"@modelcontextprotocol/inspector",
"node",
"dist/index.js"
]
}
}
}工具列表暂未提供
当前收录暂时没有可展示的工具列表,不代表服务没有工具。请查阅项目文档了解支持的能力。
点击上方按钮,在临时沙箱中运行此服务器并实时获取工具列表。
A Model Context Protocol (MCP) server that bridges LLM applications with the Unleash feature flag system. It lets AI applications check feature flag status, expose flag information, create and update flags, and list all projects. Designed for developers who want to integrate Unleash flag management into LLM workflows.
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.
Node.js v18 or higher, TypeScript v5.0 or higher, and access to an Unleash server instance.
Set the environment variables `UNLEASH_URL` (your Unleash endpoint), `UNLEASH_API_TOKEN` (API token), `MCP_TRANSPORT` (e.g., `stdio`), and `MCP_HTTP_PORT` (e.g., `3001`).
It supports stdio transport and HTTP/SSE transport, with implementations in `src/transport/stdio.ts` and `src/transport/http.ts`.
Yes. Use `npm run build` then `npx @modelcontextprotocol/inspector node dist/index.js` for stdio, or run `npm start` then `npx @modelcontextprotocol/inspector` for SSE.
The server provides tools to get a feature flag, get all projects, and create/update flags; resources expose flags and projects; prompts include single and batch flag checking.

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