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)
Pre-connect trust checks for AI agents and MCP servers using HVTracker's public trust registry.
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://hvtracker.net/mcp打开 Claude Desktop → Settings → Developer → Edit Config,把下面的内容粘贴到 claude_desktop_config.json
{
"mcpServers": {
"hvtracker": {
"command": "npx",
"args": [
"-y",
"hvtracker-mcp"
]
}
}
}在终端中运行这条命令
claude mcp add --transport http hvtracker https://hvtracker.net/mcpclaude mcp add hvtracker -- npx -y hvtracker-mcp粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json
{
"mcpServers": {
"hvtracker": {
"url": "https://hvtracker.net/mcp"
}
}
}粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json
{
"mcpServers": {
"hvtracker": {
"command": "npx",
"args": [
"-y",
"hvtracker-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": {
"hvtracker": {
"type": "http",
"url": "https://hvtracker.net/mcp"
}
}
}粘贴到项目中的 .vscode/mcp.json
{
"servers": {
"hvtracker": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"hvtracker-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://hvtracker.net/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7日
注册名称已通过 GitHub 账户 YugantM 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
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。
两种方式都可以:安装在你的电脑上,或者连接云端版本。
GitHub 仓库最后更新于–,最新版本(0.4.0)于39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, Date Math
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.
Date/time math for agents: business days, holidays, time zones, cron, RRULE. 25 free calls/day.
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。
MCP server for checking supply-chain trust before connecting to AI agents, frameworks, or MCP servers.
The hosted remote server is:
{
"mcpServers": { "hvtracker": { "url": "https://hvtracker.net/mcp" } } }
This repository also provides a local stdio package for clients that prefer package-based installation.
verify_mcp_server: pre-connect trust verdict for an MCP server, package, GitHub repo, or agent name.check_agent_trust: trust profile for a tracked AI agent or framework — incl. runtime capabilities (MCP status, providers, plugin surface, provenance drift) and the URL of its Ed25519-signed trust credential.compare_agents: two agents side by side with an evidence-based verdict and the published compare-page link.search_agents: search the HVTracker registry by name, repo, description, or category.scan_stack: bulk pre-connect trust check for a whole dependency set — paste a requirements.txt, package.json, MCP client config, or a plain list and get a trust verdict per item plus a stack summary.list_categories: list the HVTracker categories with agent counts, so you can then pull a category's leaderboard.get_leaderboard: top tracked AI agents and MCP servers ranked by HVTrust score, optionally filtered to one category.get_agent_history: 90-day trust-score, grade, and rank history for one tracked agent — is it improving or declining?HVTrust Gate runs the same trust checks in GitHub Actions. With no configuration it reads your requirements.txt, pyproject.toml, package.json and MCP client configs, and comments on pull requests that change them with the HVTrust grade of each AI agent and MCP server you depend on.
name: HVTrust
on: [pull_request] permissions: contents: read pull-requests: write jobs: trust: runs-on: ubuntu-latest steps:
With npm:
npm install -g hvtracker-mcp
With PyPI:
python3 -m pip install hvtracker-mcp
Example MCP client config:
{
"mcpServers": { "hvtracker": { "command": "hvtracker-mcp" } } }
python3 -m pip install -e ".[dev]"
python3 -m pytest hvtracker-mcp
Use a different HVTracker base URL while testing:
HVTRACKER_BASE_URL=http://localhost:8080 hvtracker-mcp
The official MCP Registry manifest is server.json.
mcp-publisher login github
mcp-publisher publish
In GitHub Actions, run the "Publish MCP Registry" workflow after the npm, PyPI, and GHCR packages for the same version are live.
The server name is:
io.github.YugantM/hvtracker-mcp
Tagged releases build an .mcpb bundle for Claude Desktop from manifest.json. To build it locally:
npm ci --omit=dev
npx @anthropic-ai/mcpb@2.1.2 pack
HVTracker MCP sends the user-supplied search string or server identifier to https://hvtracker.net to fetch public trust data. It does not require an API key and does not write to user systems. See the HVTracker site for current data and methodology, and see PRIVACY.md for the repository privacy note.