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)
Portable human-AI context protocol reference tooling.
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 …”。
打开 Claude Desktop → Settings → Developer → Edit Config,把下面的内容粘贴到 claude_desktop_config.json
{
"mcpServers": {
"id": {
"command": "uvx",
"args": [
"id-protocol"
]
}
}
}在终端中运行这条命令
claude mcp add id -- uvx id-protocol粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json
{
"mcpServers": {
"id": {
"command": "uvx",
"args": [
"id-protocol"
]
}
}
}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": {
"id": {
"type": "stdio",
"command": "uvx",
"args": [
"id-protocol"
]
}
}
}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。
这个服务器在你的电脑上运行,而 ChatGPT 只能连接互联网上的服务器。请选择其他应用。
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。
它在你的电脑上运行;安装后,工具列表会显示在你的 AI 应用中。
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 GitHub 账户 markoblogo 验证,该账户拥有此仓库
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
它在你的电脑上运行,没有互联网端点
在你的电脑上运行,改用本地设置
它在你的电脑上运行;我们只能读取互联网端点的工具列表
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。
它在你的电脑上运行。你的 AI 应用会在需要时启动它,数据不会经过作者的服务器(除非它自己调用在线服务)。
GitHub 仓库最后更新于–,最新版本(0.4.0)于4个月前进入注册中心。
支持 MCP 的应用,例如 Claude Desktop、Claude Code、Cursor 和 VS Code。你的电脑上还需要有 Python (uv)。
同一分类中有:Spec Driven Development, Remote Desktop Commander, yontu
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.
Türkçe yazı denetimi: TDK kuralları, yapay zekâ izleri, metin türüne göre üslup.
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。
Keep your working preferences in files you control. ID turns a reviewed profile into compact, privacy-filtered context that can move between AI tools and repositories.
Requires Python 3.11 or newer.
uv tool install id-protocol
mkdir my-id-profile && cd my-id-profile idctl init --owner-id demo
Edit profiles/demo/profile.minimal.md, then build and inspect the portable output:
idctl validate --owner-id demo
idctl refresh-soul --owner-id demo idctl export-compact --owner-id demo idctl diff --owner-id demo --since 7d
The starter profile is provisional until you review it. Use an alias such as demo or my-work-profile; a legal name is unnecessary. ID does not upload generated files.
| File | Role |
|---|---|
profile.minimal.md | Small owner-edited starting profile |
profile.core.md | Canonical profile when a fuller source is needed |
profile.extended.md | Optional detailed workflows and context |
privacy-policy.v1.json | Per-field export permissions |
handshake.md | Concise rules for applying context |
soul.md | Short derived bootstrap for an agent |
context.compact.json | Privacy-filtered portable context |
mcp.context.resource.json | Resource payload for an external MCP adapter |
Markdown profiles remain the source of truth. Generated JSON is a transport view and may omit nuance. The package is a local CLI; it does not provide an MCP server or synchronize vendor accounts.
Compact and MCP resource exports require a valid policy whose owner_id matches the requested profile. Unlisted fields stay local-only. Missing, malformed, mixed, conflicting, or owner-mismatched policies block export.
Legacy list policies from earlier releases are normalized in memory during validation and export. Their source files remain unchanged and their restrictions remain effective. --allow-unfiltered only permits a missing policy in a reviewed legacy workflow; it cannot bypass an invalid policy.
Review the resulting export before attaching it to another tool. See the privacy model, policy schema, and threat model.
| Product | Responsibility | Tested release |
|---|---|---|
| ID | Human preferences and operating constraints | 0.5.2 |
| agentsgen | Repository instructions and commands | 0.5.0 |
| SET | Review-first workflow planning and exports | 0.4.0 |
| abvx-agent-skills | Optional reusable workflows | 0.15.0 |
These remain independently installable. ID does not install companions or grant tool permissions.
For a repository that already contains a reviewed ID profile:
idctl install-set-hook --path .
The adapter returns owner-local bootstrap pointers to SET and preserves an existing custom hook. See the SET integration guide.
Three reproducible demos exercise installed onboarding, policy-filtered omission, legacy-policy compatibility, and the agentsgen/SET handoff with synthetic data. They measure local CLI behavior and runtime, not AI answer quality.
The historical benchmark snapshot is a small checked-in sample with explicit limits. AI-client behavior still depends on each client's configuration and context rules.
git clone https://github.com/markoblogo/ID.git
cd ID python -m venv .venv . .venv/bin/activate python -m pip install ".[dev]" build twine make validate make drift-check make coverage make release-build make release-check
Start with the documentation index, protocol, integration boundaries, and contributing guide. Use synthetic profiles in public issues and pull requests.
v0.5.1.v0.5.1.v0.16.1._This block is generated from the reviewed ABVX ecosystem registry._