Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
作者提供的说明(英文原文)
DevCycle MCP server for feature flag management
这三项永远不会合并成一个分数:意见、测量和人气是不同的东西。
我们还没有为它写通俗的介绍。下面是我们从注册中心读取到的事实。
选择你使用的 AI 应用,然后复制设置。
你需要
你用的是哪个应用?
在上方选择你的应用。我们会记住它,下次按钮会显示“安装到 …”。
适用于网页版、桌面版和手机版 Claude:
https://mcp.devcycle.com/mcp在终端中运行这条命令
claude mcp add --transport http devcycle https://mcp.devcycle.com/mcp粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json
{
"mcpServers": {
"devcycle": {
"url": "https://mcp.devcycle.com/mcp"
}
}
}浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。
粘贴到项目中的 .vscode/mcp.json
{
"servers": {
"devcycle": {
"type": "http",
"url": "https://mcp.devcycle.com/mcp"
}
}
}浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。
ChatGPT 只能连接互联网上的服务器:
https://mcp.devcycle.com/mcp菜单名称可能因套餐和版本不同而略有差异。
你的选择通过 Cookie 保存在这台设备上,无需账户。
这些设置是根据作者在注册中心的条目生成的。如果 README 的写法不同,请以 README 为准。
我们还没有读取这个服务器的工具列表;我们会轮流检查各个端点。
我们检查的是任何人都能看到的信息;我们没有阅读代码。不适用的检查项不计入总数。 · 检查于 2026年11月6日
注册名称已通过域名 devcycle.com 验证(注册中心会核实域名所有权)
我们还没有从 GitHub 读取这个仓库
我们还没有从 GitHub 读取这个仓库
尚未检查;我们会轮流检查各个端点
尚未检查;我们会轮流检查各个端点
尚未检查;我们会在检查端点时读取工具列表
与注册中心里这个分类中所有活跃的服务器比较。只有当发布者拥有该仓库时,星标数才计入。
它在 1 项适用的基础检查中通过了 1 项。我们没有阅读代码。在添加密钥或令牌之前,请先看看这个服务器要求哪些权限,并使用只具备所需权限的密钥。
注册中心没有列出必需的密钥,不过有些服务器会在首次使用时要求你登录。
它在作者的云端运行。通过互联网连接,无需安装,但你发送的内容会经过作者的服务器。
GitHub 仓库最后更新于–,最新版本(6.6.1)于22天前进入注册中心。
支持 MCP 的应用,例如 Claude Desktop、Claude Code、Cursor 和 VS Code。它通过 URL 连接,所以接受远程 MCP 服务器的应用也可以使用,例如开启开发者模式的 ChatGPT。
同一分类中有:Spec Driven Development, Remote Desktop Commander, AI Deprecations
同一分类中其他作者的服务器,按星标数排序。
如何看卡片:★ GitHub 星标i三大支柱:评价 · 检查 · 使用情况i更新 = 最新版本发布到注册中心的时间i
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.
AI model shutdown dates, replacements, change feed and webhook alerts for 8 providers.
按原文从作者的仓库复制。PopNx MCP 没有审查或背书其内容。HTML、图片和脚本已被移除。链接会离开本站。
DevCycle CLI & MCP Server =========================
This repository contains the DevCycle CLI for managing feature flags from the command line, plus an MCP (Model Context Protocol) server that enables AI coding assistants to interact with DevCycle.
Major features include:
The CLI can be customized in several ways using command-line args or by creating a configuration file.
The DevCycle MCP (Model Context Protocol) server enables AI coding assistants like Cursor and Claude to manage feature flags directly from your development environment. DevCycle offers a hosted MCP server that requires no local installation.
.cursor/mcp_settings.json:json { "mcpServers": { "devcycle": { "url": "https://mcp.devcycle.com/mcp" } } }
json { "mcpServers": { "devcycle": { "command": "npx", "args": [ "mcp-remote", "https://mcp.devcycle.com/mcp" ] } } }
Your AI assistant can now create, update, and manage feature flags on your behalf.
For local installation options, detailed configuration, available tools, and advanced usage, see the complete MCP documentation.
Using NPM
$ npm install -g @devcycle/cli
Or alternatively, using homebrew
$ brew tap devcyclehq/cli
$ brew install devcycle
Many of the CLI commands require DevCycle API authorization. There are several ways to provide these credentials.
By using the login sso command, the CLI will retrieve and store an access token, which is valid for 24 hours.
The login again command can be used to retrieve a new access token using the saved project and organization without prompting for them.
This process will open browser windows to interact with the DevCycle universal login page. It will first obtain a personal access token, then prompt you to choose an organization. A second browser window is used to authenticate the CLI with your chosen organization.
To switch organizations once logged in, the organizations select command can be used.
If executing the CLI in a containerized environment, please ensure one of the following PORTs can be accessed via Port Forwarding: 2194 (default), 2195, 2196 or 8080. This will allow the authentication process to complete and set the access token appropriately.
The repo init command behaves in the same way as login sso, but creates a repo configuration file and stores the project and organization choices there instead.
Use the dvc status command to find the configuration file location for your platform. The credentials can be stored in the file pointed to by the Auth config path. Create the file if it does not exist, with the following contents.
clientCredentials:
client_id: client_secret:
This file should not be checked in to version control.
The default location is based on the oclif configDir
If you intend to run the CLI using options that override config file locations, the dvc status command command can be run with those options to confirm that the file locations are as expected.
You also need to specify the default project ID for the CLI to use.
If there is a repo configuration file, the dvc diff and dvc usages commands will use the project defined there.
Otherwise, this is chosen during login or set using the project select command
Set the following environment variables:
$ export DEVCYCLE_CLIENT_ID=<your client id>
$ export DEVCYCLE_CLIENT_SECRET= $ export DEVCYCLE_PROJECT_KEY=
The CLI can be run with the following arguments:
$ dvc --client-id=<your client id> --client-secret=<your client secret> --project=<your project key>
The Devcycle Github actions are configured with auth information through the project-key, client-id and client-secret configuration parameters. This is passed to the CLI via command line arguments.
$ npm install -g @devcycle/cli
$ dvc COMMAND running command... $ dvc (--version) @devcycle/cli/6.6.1 linux-x64 node-v24.21.0 $ dvc --help [COMMAND] USAGE $ dvc COMMAND ...
<!-- usagestop -->
dvc alias - Manage repository variable aliases.dvc autocomplete - display autocomplete installation instructionsdvc cleanup - Replace a DevCycle variable with a static value in the current version of your code. Currently only JavaScript is supported.dvc diff - Print a diff of DevCycle variable usage between two versions of your code.dvc environments - Create a new Environment for an existing Feature.dvc features - Create, view, or modify Features with the Management API.dvc generate - Generate Devcycle related files.dvc help - Display help for dvc.dvc identity - View or manage your DevCycle Identity.dvc keys - Retrieve SDK keys from the Management API.dvc login - Log in to DevCycle.dvc logout - Discards any auth configuration that has been stored in the auth configuration file.dvc organizations - List or switch organizations.dvc overrides - Create, view, or modify Overrides for a Project with the Management API.dvc projects - Create, or view Projects with the Management API.dvc repo - Manage repository configuration.dvc status - Check CLI status.dvc targeting - Create, view, or modify Targeting Rules for a Feature with the Management API.dvc usages - Print all DevCycle variable usages in the current version of your code.dvc variables - Create, view, or modify Variables with the Management API.dvc variations - Create a new Variation for an existing Feature.The following commands can only be run from the root of a configured repository
dvc diffdvc usagesdvc aliasdvc cleanupMany of the options available as command-line args can also be specified using a repo configuration file. The default location for this file is /.devcycle/config.yml.
This location can be overridden using the --repo-config-path flag.
The configuration file format is documented below:
## the project and organization to use when connecting to the DevCycle Rest API for this repo
project: "project-key" org: id: "org_xxxxxx" name: "unique-org-key" display_name: "Human Readable Org Name"
codeInsights:
clientNames:
variableAliases: "VARIABLES.ENABLE_V1": "enable-v1"
matchPatterns:
js:
includeFiles:
excludeFiles:
When identifying variable usages in the code, the CLI will identify DevCycle SDK methods by default. To capture other usages you may define match patterns. Match patterns are defined by file extension.
:::note Each pattern must include exactly one capture group for the variable key. Capture the entire key value (including surrounding quotes if you choose the “with quotes” pattern). :::
Match patterns can be defined in the configuration file, for example:
codeInsights:
matchPatterns: js:
Match patterns can capture variable keys with or without quotes, which affects whether aliases are needed:
With quotes:
# Pattern captures the key including surrounding quotes
dvcClient.variable('my-variable', default)'my-variable' (with quotes)Without quotes (aliases or generated constants required):
# Pattern strips quotes, capturing only the content
dvcClient.variable('my-variable', default)my-variableMatch patterns can also be passed directly to relevant commands using the --match-pattern flag:
dvc usages --match-pattern ts="customVariableGetter\(\s*["']([^"']*)["']" js="customVariableGetter\(\s*["']([^"']*)["']"
When testing your regex the --show-regex flag can be helpful. This will print all patterns used to find matches in your codebase.
dvc usages --show-regex
If you use wrapper functions around the SDK, add patterns for them.
Example: Custom wrapper functions
codeInsights:
matchPatterns: ts:
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