Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Description from the maker (original English)
Walkability and pedestrian safety for any US address: scores, neighborhoods, deadly roads.
These three are never merged into one score: opinions, measurements and popularity are different things.
We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.
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Works in Claude on the web, desktop and mobile:
https://safestreets.streetsandcommons.com/mcpRun this in your terminal
claude mcp add --transport http safestreets https://safestreets.streetsandcommons.com/mcpPaste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"safestreets": {
"url": "https://safestreets.streetsandcommons.com/mcp"
}
}
}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": {
"safestreets": {
"type": "http",
"url": "https://safestreets.streetsandcommons.com/mcp"
}
}
}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.
ChatGPT connects only to servers on the internet:
https://safestreets.streetsandcommons.com/mcpMenu names can differ slightly by plan and over time.
Your choice stays on this device in a cookie; no account needed.
These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.
Tool names and descriptions exactly as the server reported them on Nov 7, 2026. The maker wrote them, not us; we show them as plain text.
get_walkability_scoreScore a US location on how good and how safe it is to walk, from a street address or from latitude/longitude. Call this when someone asks whether a place is walkable, how safe it is to walk, whether they could live somewhere without a car, how a neighborhood compares to another o
compare_locationsScore 2 to 10 US locations and say how they differ. Use this for "which of these is the most walkable", choosing between addresses, or any question that puts places side by side. Give addresses or coordinates, and a label for each if you want the results matched back to your own
score_manyScore up to 10 US locations in one request. Use this for a list: properties, branches, listings, sites. Each location counts as one call against your allowance, so a list of ten costs ten. A location that cannot be resolved is reported in errors rather than failing the request.
get_city_walkabilityWalkability score for a whole US city, precomputed. Instant, no analysis. Use this for "how walkable is Houston" rather than scoring a point inside it. Returns the 0-100 composite, the same score as 0-10, the tier, and the four components. Covers 203 cities; a city not in the set
find_walkable_neighborhoodsNeighborhoods inside a US city, ranked most walkable first, precomputed. Use this for "which part of Chicago should I live in without a car". Returns up to 25 neighborhoods, each with its 0-10 score, tier and components. Covers 749 neighborhoods across the cities analysed so far,
search_neighborhoodsRanked neighborhood search across every US neighborhood (202,000+), for "where should I move" questions. Use this when someone is relocating and has not picked a town yet: filter to a county set, a metro, a state, a home-price ceiling or a walkability floor, then rank by walkabil
get_dangerous_corridorsRoad corridors where pedestrians were actually killed, from federal crash records. Source: NHTSA FARS 2022-2024 (PER_TYP=5, INJ_SEV in 4,6). Each corridor carries the road name, the city, the total pedestrian deaths and a per-year breakdown, so a claim can be checked rather than
search_insightsSearch SafeStreets' published research on walkability, street design and pedestrian safety. Returns the article title, summary, URL and its published questions and answers, so a finding can be quoted and linked rather than paraphrased from memory. 32 articles, each built on named
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 Poseidon-t, which owns the repo
We have not read this repo from GitHub yet
We have not read this repo from GitHub yet
Responded in 220 ms (HTTP 200)
No sign-in needed
Read 8 tool descriptions and found no hidden instructions to the AI
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
It passed 3 of 3 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.
The registry does not list a required key, though some servers ask you to sign in on first use.
It runs in the maker’s cloud. Connect over the internet with nothing to install, but what you send passes through the maker’s servers.
The GitHub repo last changed –, and the latest version (1.0.0) reached the registry 16 days ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. It connects by URL, so apps that accept remote MCP servers work too, such as ChatGPT in developer mode.
In the same category: Spec Driven Development, Remote Desktop Commander, Date Math
Servers in the same category from other makers, sorted by stars.
Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi
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Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.
Walkability and pedestrian safety for any US address, for Claude and ChatGPT. Made by Streets & Commons.
The plugin connects your assistant to the SafeStreets MCP server at https://safestreets.streetsandcommons.com/mcp and adds three skills that tell the assistant how to use it well. It is free and needs no sign-in.
| Tool | What it answers |
|---|---|
get_walkability_score | How walkable and how safe for walking one address is, 0 to 10, with four components and the metrics behind them |
compare_locations | Which of several places is better on foot, and on which component they differ |
score_many | Scores for a list of addresses |
get_city_walkability | A whole city's score |
find_walkable_neighborhoods | The most walkable neighborhoods in a city |
search_neighborhoods | Neighborhoods across the US filtered by region, home price, walkability and transit |
get_dangerous_corridors | Roads where pedestrians were killed, from NHTSA FARS, with deaths per year |
search_insights | SafeStreets research articles with figures you can cite |
Every tool only reads data.
Claude Code
/plugin marketplace add Poseidon-t/safestreets-plugin
/plugin install safestreets@safestreets
Claude.ai or Claude Desktop: Settings, Connectors, Add custom connector, then paste https://safestreets.streetsandcommons.com/mcp.
ChatGPT: Settings, Apps and Connectors, Create, then paste the same URL with no authentication.
Cursor or any MCP client
{
"mcpServers": { "safestreets": { "url": "https://safestreets.streetsandcommons.com/mcp" } } }
Keyless calls share a daily limit on full address scores. A free API key gives you your own 10,000 calls a month: send it as the x-api-key header. Coverage is the United States only.
Scores come from OpenStreetMap, NHTSA crash records, the US Census, EPA and satellite imagery. See the methodology, privacy policy and terms.
Support: hello@streetsandcommons.com