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)
Styled, interactive road maps of any place (OpenStreetMap) or road file, with PNG previews.
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。
CARTO_API_KEY标为机密的值是你账户的钥匙。千万不要分享给别人,也不要粘贴到聊天里。
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": {
"roadstyle": {
"command": "uvx",
"args": [
"roadstyle-mcp"
],
"env": {
"CARTO_API_KEY": "your-value"
}
}
}
}在终端中运行这条命令
claude mcp add roadstyle --env CARTO_API_KEY=your-value -- uvx roadstyle-mcp运行前请先填写空着的值。
粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json
{
"mcpServers": {
"roadstyle": {
"command": "uvx",
"args": [
"roadstyle-mcp"
],
"env": {
"CARTO_API_KEY": "your-value"
}
}
}
}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": {
"roadstyle": {
"type": "stdio",
"command": "uvx",
"args": [
"roadstyle-mcp"
],
"env": {
"CARTO_API_KEY": "your-value"
}
}
}
}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 Khoshkhah 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。
你需要填写:CARTO_API_KEY
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(0.28.0)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, Signoff
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.
Five gates that make an agent's 'done' provable: run them, read the verdict, audit the record.
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。
roadstyle
Beautiful, interactive road maps from Python.
One offline HTML file with real road cartography, Google Street View and a JavaScript API.
Install · Quickstart · Gallery · Live map · AI agents · Documentation
window.rs* JavaScript API and events for your own dashboard, and shared parts for its panel: a level editor and a design panel (themes, road colours and widths, names, layers) that any page can open.buildings_opacity=, and the far buildings of a tilted map.dashboard={"panel": {"sections": [...]}} or rs.sections.add. The map of a dashboard has the defaults of a map page. This is a breaking change: see Migrate a dashboard.label is a card, with or without a background (background: False), that folds or not (fold: True). Every card has the same width, gap, padding and title row, and the "?" of rs.help.button is at the end of the title row.duckosm.page draws the base map's textures and icons, and dashboard=False gives the dashboard without a panel.street_view="dock" puts Street View beside the map with a divider that you drag. dashboard={"panel": None} gives a map with the toolbox only.rs.help.button adds a "?" button with its own words to a card or a label, all of them open one window. A Collapse all / Expand all control folds the panel's sections. The level editor has a "?" help window with two links to the levels guide.rs.render_dashboard(edges) makes a map with one panel and one bar of tools: navigate (zoom, turn and tilt in one box), road filter, base maps, colour and legend, settings and credits. A tool that the page cannot use is grey, and its tooltip says why. The toolbox is at the right edge and the panel at the left. On a phone the bar is one row that you move sideways, and the panel is a bottom sheet.export_style and roadstyle tiles all use the same tiling rule. tiles=False gives GeoJSON roads, and tile_format="mvt" gives MVT.roadstyle levels edit AREA_DIR opens it from the Rust program. It uses the page's standard panel, with an apply bar, red and blue picks, the area boundary (levels make --boundary) and edits.csv in the History tab.rs.classify makes colour classes for roads.More: What is new in 0.27.0 · Dashboard layout · Dashboard parts · Big networks · Move a script from 0.25 · Documentation.
pip install roadstyle # core
pip install "roadstyle[all]" # + studio, DuckDB, …
Python ≥ 3.10. Individual extras and the dev setup: Install.
From OpenStreetMap, no data needed. Any place, with osmnx (pip install osmnx):
import osmnx as ox
import roadstyle as rs
G = ox.graph_from_place("Tartu, Estonia", network_type="drive", simplify=False) G = ox.simplify_graph(G, edge_attrs_differ=["bridge", "tunnel"]) # keep tunnels and bridges apart rs.render_edges(ox.graph_to_gdfs(G, nodes=False)).save("tartu.html")
From your own data. Any file or GeoDataFrame with line geometry and a highway column:
import geopandas as gpd
import roadstyle as rs
edges = gpd.read_file("edges.gpkg") # LineStrings + a highway column, any CRS rs.render_edges(edges).save("map.html") # open map.html: no server (Street View needs one)
More looks:
rs.render_edges(edges, basemap="ofm_dark", view_3d=True) # dark, 3D bridge decks
rs.render_edges(edges, palette="carto", basemap="ofm_positron") # the classic OSM look rs.render_edges(edges, color_by="aadt", cmap="viridis") # colour by your data rs.render_edges(edges, palette="mono", color_options={ # several colourings, "Traffic": {"color_by": "aadt", "cmap": "viridis"}, # switched in the browser "Speed": {"color_by": "maxspeed_kmh", "cmap": "magma"}}) rs.render_edges(edges, tiles=False) # GeoJSON roads (MLT tiles are the default) rs.render_dashboard(edges).save("dashboard.html") # map + panel + the standard toolbox rs.render_street_view(edges).save("street_view.html") # map and Street View side by side
No Python? roadstyle edges.gpkg -o map.html --basemap ofm_dark, or click through it in the workbench: pip install "roadstyle[studio]" && roadstyle studio.
The road map look rs.render_edges(edges)
Bridges and tunnels rs.render_edges(edges)
Colour by your data color_by="maxspeed_kmh"
3D bridges view_3d=True <img src="https://raw.githubusercontent.com/Khoshkhah/roadstyle/main/docs/img/gallery/street_view.jpg" alt="Street View"
只显示了开头部分;其余内容请在仓库中阅读