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)
Django and SQLAlchemy static analysis: models, relations, migrations, Alembic, N+1.
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": {
"orm-lens": {
"command": "uvx",
"args": [
"orm-lens",
"orm-lens-mcp"
]
}
}
}在终端中运行这条命令
claude mcp add orm-lens -- uvx orm-lens orm-lens-mcp粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json
{
"mcpServers": {
"orm-lens": {
"command": "uvx",
"args": [
"orm-lens",
"orm-lens-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": {
"orm-lens": {
"type": "stdio",
"command": "uvx",
"args": [
"orm-lens",
"orm-lens-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。
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 FROWNINGdev 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(1.17.1)于前天进入注册中心。
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, Zendesk
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.
Zendesk MCP Pack — tickets, users, organizations via OAuth.
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。
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Your entire model graph — live in your editor sidebar, gating your CI, and answering your AI agent over MCP. All from static parsing: no database, no runserver, no working venv. Django models and migrations, SQLAlchemy models and Alembic revisions.
Formerly django-orm-lens. pip install django-orm-lens still works and installs orm-lens.
Replaces: graph_models + django-schema-graph + hand-drawn ER diagrams + grep archaeology.
Featured in Django News #347 · PyCoder's Weekly #746
uvx orm-lens scan -f table # every app and model at a glance
uvx orm-lens nplusone # N+1 loops, with the select_related / selectinload to add uvx orm-lens migration-risk # Django migrations and Alembic revisions that lock tables or fail
Cold clone, broken venv, no settings module — you still see every app and model of the project, then the N+1 loops and risky migrations in it, right in your terminal. (uvx is from uv; pipx run works the same way.)
Then pick your surface — three distributions, one parser core:
| You are | Install | You get |
|---|---|---|
| Editor user (Django) — VS Code / Cursor / Windsurf / VSCodium | code --install-extension frowningdev.django-orm-lens | Field autocomplete in .filter(), sidebar tree, live ER diagram, hover cards, 18 lint rules with QuickFixes |
| Terminal / CI user | pip install orm-lens | 17 subcommands, SARIF + PR annotations, pre-commit hooks, a GitHub Action |
| AI-agent user — Cursor / Claude Code / Aider / Zed / Continue | pip install "orm-lens[mcp]" | 14 read-only MCP tools answering schema questions from ground truth |
MCP setup is one JSON block — see Integrations. Point ORM_LENS_ROOT at your project's absolute path.
Schema review is a paid category nearly everywhere. A bot that reviews every pull request, analysis that follows a queryset past the function it was built in, a check that catches schema drift, index advice grounded in real table statistics — those normally sit behind a per-seat or per-database subscription.
All of it is here, MIT-licensed, with no tier gate, no seat count, no account, and no telemetry:
| Capability usually sold as a paid tier | Here |
|---|---|
| PR review bot for schema changes — posts once, then updates in place | blast-radius + the Action |
| Analysis that follows a queryset across functions | nplusone |
| Schema drift detection | drift |
| Index proposals from observed QuerySet usage | suggest-indexes |
| Migration risk weighed against real table sizes | blast-radius --stats |
| Blast radius of a destructive migration | blast-radius |
| Cross-layer impact of removing a field | impact |
There is no Pro tier, and none is planned. If the tool saves you an afternoon, a star is the entire ask.
If the tool saves you a
grepnext time you touch a strange Django project — [a star helps others find it](https://github.com/FROWNINGdev/orm-lens/stargazers).
VS Code / Cursor / Windsurf (VS Code Marketplace):
code --install-extension frowningdev.django-orm-lens
VSCodium / code-server / Gitpod / any OSS Code fork (Open VSX):
codium --install-extension frowningdev.django-orm-lens
Or search `ORM Lens` in the Extensions view — same publisher frowningdev on both registries.
Terminal & AI coding agents:
pip install orm-lens # CLI only
pip install "orm-lens[mcp]" # + MCP server for AI agents
Requires Python 3.9+ (the MCP server: 3.10+). Zero runtime dependencies for the CLI.
Docker (v0.6+):
docker run --rm -v "$PWD:/workspace" ghcr.io/frowningdev/orm-lens scan --path .
Multi-arch (amd64 + arm64). No Python required on the host. Good for CI and one-off audits.
Works offline. Works on a broken venv. Works on someone else's laptop. Works in CI.
You open a Django project. It has 20 apps. You need to answer a simple question:
_"Which app owns the
Ordermodel, and how is it connected toUser?"_
Today, that means: `Ctrl+
只显示了开头部分;其余内容请在仓库中阅读