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)
Local completion-contract checks and release receipts.
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": {
"release-gate": {
"command": "uvx",
"args": [
"dailyaiagents-release-gate"
]
}
}
}在终端中运行这条命令
claude mcp add release-gate -- uvx dailyaiagents-release-gate粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json
{
"mcpServers": {
"release-gate": {
"command": "uvx",
"args": [
"dailyaiagents-release-gate"
]
}
}
}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": {
"release-gate": {
"type": "stdio",
"command": "uvx",
"args": [
"dailyaiagents-release-gate"
]
}
}
}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7日
注册名称已通过 GitHub 账户 Dailyaiagents 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(0.1.1)于2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, EmbeddedCI BenchPod
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.
Drive a BenchPod hardware-in-the-loop bench: power, flash, UART, I2C, CAN, analog and logic.
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。
Local, deterministic tools for checking AI-generated work before it is released.
The toolkit contains two Model Context Protocol (MCP) servers and six portable Agent Skills. They inspect retained artifacts, declared claim support, literal citations, completion contracts, blockers, and release receipts without calling a model, uploading files, or requiring a Daily AI Agents account.
Release status:
0.1.1patch release candidate. PyPI0.1.0is public; the patch corrects the case-sensitive MCP Registry ownership marker.
AI systems can produce convincing output without proving that required artifacts exist, cited text is present, or a completion contract was actually satisfied. These tools make those narrow checks repeatable and preserve uncertainty instead of silently upgrading it to success.
They deliberately do not determine broad truth, judge semantic entailment, approve a release, validate a live service, or establish legal or security compliance.
| Component | Interface | Purpose |
|---|---|---|
| Evidence Gate | MCP server, four tools | Inspect artifacts, declared claim evidence, literal citation containment, and aggregate verification states. |
| Release Gate | MCP server, four tools | Check completion contracts, preserve requirement states, format blockers, and build retained release receipts. |
| Six Agent Skills | Portable skill directories | Reuse artifact, claim, contract, failure-state, and verification procedures with deterministic self-tests. |
verify_artifactaudit_claimsaudit_citationssummarize_verificationcheck_contractevaluate_completionformat_blockersbuild_release_receiptartifact-verifierclaim-truth-gatecompletion-contractcontract-checkerfail-loudverification-benchPython 3.11 or newer is required.
python -m pip install dailyaiagents-evidence-gate==0.1.1
python -m pip install dailyaiagents-release-gate==0.1.1
dailyai-evidence-gate --root /absolute/path/to/workspace dailyai-release-gate --root /absolute/path/to/workspace
Until the packages are public, install from a clean checkout:
python -m pip install ./servers/evidence-gate ./servers/release-gate
Both servers use MCP stdio transport. A representative client configuration is:
{
"mcpServers": { "dailyai-evidence-gate": { "command": "dailyai-evidence-gate", "args": ["--root", "/absolute/path/to/workspace"] }, "dailyai-release-gate": { "command": "dailyai-release-gate", "args": ["--root", "/absolute/path/to/workspace"] } } }
See client configuration for the supported transport boundary.
Run the complete local gate:
bash scripts/test-all.sh
The release candidate includes:
See the examples, technical report, receipt schemas, release and recovery process, and local verification record. A passing local check proves only the condition and scope named in its receipt.
Live repository controls and current fail-closed publication gates are recorded in Repository controls.
MCP client
| stdio + structured inputs v Evidence Gate / Release Gate | canonical path resolution beneath --root v Local retained files ---> structured status + scoped receipt
The servers do not use network access, telemetry, model inference, arbitrary shell execution, or hosted Daily AI Agents infrastructure. Inputs are treated as data rather than shell fragments. URL-only evidence remains UNVERIFIED, and literal citation containment is not semantic support.
Read SECURITY.md and the threat model before using the toolkit on sensitive work.
The toolkit was conceived and led by Cooper Reed, founder of Daily AI Agents LLC, with implementation, testing, release engineering, and documentation developed as a public engineering project. Public claims about the toolkit should link to reproducible checks or retained release evidence in this repository.
Apache-2.0 licensed.