原型 · 预览版:收录官方注册中心里的全部服务器,每 30 分钟同步一次。评价和账户功能将在后续阶段推出。
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roadstyle

作者:Khoshkhah版本 0.28.0i★ –i在你的电脑上运行
注册名称io.github.Khoshkhah/roadstyle

安装

概览

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.

PopNx MCP 的三大支柱

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。

它能帮你做什么

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。

  • 连接方式: 在你的电脑上运行
  • 传输方式: stdio
  • 分类: 其他
  • 你需要填写:CARTO_API_KEY

安装

选择你使用的 AI 应用,然后复制设置。

安装之前

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

  • PyPI已安装 Python 的 uv(用于 uvx 命令)

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。

在 Cursor 中打开

或者自己复制设置

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。

在 VS Code 中打开

或者自己复制设置

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。

需要你填写的值

  • CARTO_API_KEY 机密 env
    CARTO basemap key; without it maps use the keyless esri_street base map

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。

它能做什么

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。

基础检查i

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

  • ✓ 通过

    作者与仓库一致

    注册名称已通过 GitHub 账户 Khoshkhah 验证,该账户拥有此仓库

  • … 尚未检查

    仍在维护

    我们还没有从 GitHub 读取这个仓库

  • … 尚未检查

    有许可证

    我们还没有从 GitHub 读取这个仓库

  • – 不适用

    端点有响应

    它在你的电脑上运行,没有互联网端点

  • – 不适用

    使用 OAuth 登录

    在你的电脑上运行,改用本地设置

  • … 尚未检查

    工具描述中没有隐藏指令

    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“其他”中的其他服务器比较i

  • 星标数多于此分类中其他 32725 个服务器的 0%
  • 发布到注册中心的时间比此分类中其他 32725 个服务器的 95% 更新
  • 基础检查结果等于或优于此分类中其他 32725 个服务器的 100%

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。

常见问题

roadstyle 安全吗?

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。

它需要哪些密钥或代码?

你需要填写:CARTO_API_KEY

它在我的电脑上运行还是在云端?

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)。

它还在维护吗?

GitHub 仓库最后更新于–,最新版本(0.28.0)于前天进入注册中心。

哪些应用可以使用它?

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)。

有什么可以替代它?

同一分类中有:Spec Driven Development, Remote Desktop Commander, Signoff

替代选择

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

Spec Driven Development

作者:formulahendry

MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.

在你的电脑上运行★ 440MIT14个月前更新
安装

Remote Desktop Commander

作者:desktop-commander

Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.

在云端运行★ 211前天更新
安装

Signoff

作者:ayuanxx-max

Five gates that make an agent's 'done' provable: run them, read the verdict, audit the record.

在你的电脑上运行今天更新
安装

作者的 README

打开 README

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

Why roadstyle

  • Real road cartography. Casing and fill, widths that change with zoom, street names, one-way arrows, tunnels drawn under and bridges over, and optional 3D bridge decks.
  • One offline file. Map, data and styling in a single HTML page: open it without a server, email it, or put it on any website.
  • Street View built in. Click any road to see it in Google Street View, facing the way it runs.
  • Any road data. A GeoDataFrame, a file, DuckDB, Arrow, osmnx or duckOSM.
  • Colour by your data. Speed, traffic or any column, with a legend and a menu of colourings.
  • Scriptable. A 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.
  • Ready for AI agents. An MCP server and an agent skill.

What is new in 0.28.0

  • The design panel is a dashboard part: themes, road colours and widths, names and layers, in any page with a dashboard (guide).
  • 3D buildings: solid by default (a road behind a building does not show through the roof), an *Opacity* slider and buildings_opacity=, and the far buildings of a tilted map.
  • The open card has an accent ring and an accent title.

What is new in 0.27.0

  • The dashboard's panel starts empty, and a page adds what it needs: its own HTML, the query box or the road card, with 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.
  • Cards: one standard for the panel. A section with a 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.
  • Every part of the dashboard follows the dark theme, and every scroll area scrolls the same way as the panel.
  • Street View: Coverage is an icon after the provider switch, and the close button stays at the top right.

What is new in 0.26.3

  • A dashboard manual. Three pages with maps that run: an overview, the Python SDK and the JavaScript API. Each example has a Run button.
  • The two directions of a two-way road are two halves of the road at every zoom. A colour on one direction does not hide the other.
  • Fewer arrows on a tiled page, and correct arrows on a page with a vector base map. Monaco, zoom 16.5: 9 arrows, not 85.
  • Street View: the coverage shows on any road, and the header of the window keeps the name of the road. duckosm.page draws the base map's textures and icons, and dashboard=False gives the dashboard without a panel.

What is new in 0.26.1

  • One accent colour. The dashboard uses the Sonocount teal in the light and the dark theme, defined once. The corner box has the shape of the bar, a button with a text shows no tooltip box, and every tool of a phone's one-row bar can be reached.
  • Street View docked, and a dashboard with no 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.
  • Help and folding in the panel. 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.
  • Fix: a page that starts in the dark theme no longer shows the error "Style is not done loading".

What is new in 0.26.0

  • A standard dashboard and toolbox. 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.
  • Seven base maps, no key. OpenFreeMap Liberty and Positron (the default), OpenStreetMap, Esri Gray, Esri Streets, Esri Satellite and Blank, each with its dark twin when it has one. The CARTO maps are gone, so no base map needs a key. The theme switch also turns the style's own layers dark.
  • Tiles by default, one rule. Every page keeps its roads as MLT vector tiles to zoom 16, with one road layer for every zoom. The page, the browser worker, export_style and roadstyle tiles all use the same tiling rule. tiles=False gives GeoJSON roads, and tile_format="mvt" gives MVT.
  • The level editor is in the panel. 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.
  • Shared dashboard parts. Help window, hover box, tabs, number tiles, tables, charts and chips are in the panel's own look, in both themes. 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.

Install

pip install roadstyle              # core

pip install "roadstyle[all]" # + studio, DuckDB, …

Python ≥ 3.10. Individual extras and the dev setup: Install.

Quickstart

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.

Gallery

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

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