Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Description from the maker (original English)
Styled, interactive road maps of any place (OpenStreetMap) or road file, with PNG previews.
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Pick the AI app you use, then copy the settings.
CARTO_API_KEYValues marked secret are keys to your account. Never share them or paste them into a chat.
You need
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Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json
{
"mcpServers": {
"roadstyle": {
"command": "uvx",
"args": [
"roadstyle-mcp"
],
"env": {
"CARTO_API_KEY": "your-value"
}
}
}
}Run this in your terminal
claude mcp add roadstyle --env CARTO_API_KEY=your-value -- uvx roadstyle-mcpFill in the empty values before running it.
Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"roadstyle": {
"command": "uvx",
"args": [
"roadstyle-mcp"
],
"env": {
"CARTO_API_KEY": "your-value"
}
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
Paste into .vscode/mcp.json in your project
{
"servers": {
"roadstyle": {
"type": "stdio",
"command": "uvx",
"args": [
"roadstyle-mcp"
],
"env": {
"CARTO_API_KEY": "your-value"
}
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
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Runs on your computer; the tool list appears in your AI app after you install it.
We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 7, 2026
The registry name was verified with the GitHub account Khoshkhah, which owns the repo
We have not read this repo from GitHub yet
We have not read this repo from GitHub yet
This one runs on your computer; there is no internet endpoint
Runs on your computer and uses local settings instead
Runs on your computer; we can only read tool lists from internet endpoints
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.
You need to fill in: CARTO_API_KEY
It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).
The GitHub repo last changed –, and the latest version (0.28.0) reached the registry yesterday.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Python (uv) on your computer.
In the same category: Spec Driven Development, Remote Desktop Commander, First Sale Scout
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Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
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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"
Only the beginning is shown; read the rest in the repo