MCP server

SafeStreets

io.github.Poseidon-t/safestreets

Checked 26 Oct 2026, 08:29 UTC · Connected to it and listed its tools

Walkability and pedestrian safety for any US address: scores, neighborhoods, deadly roads.

Website Source

At a glance

Type

MCP server

Publisher

Not verified

Status

Working at last check

Tools

8

Token cost

About 3,101 tokens per request

Sets up in

Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok

Last checked

26 Oct 2026, 08:29 UTC

Connect it to your agent

Add to CursorAdd to VS CodeVS Code Insiders

Opens the app, which shows the server and asks you to confirm. For other apps, copy the setup below.

Claude Code

claude mcp add --transport http safestreets https://safestreets.streetsandcommons.com/mcp

Claude Desktop

Settings → Connectors → Add custom connector, and paste the URL.

Codex (config.toml)

[mcp_servers.safestreets]
url = "https://safestreets.streetsandcommons.com/mcp"

Gemini CLI

{"mcpServers":{"safestreets":{"httpUrl":"https://safestreets.streetsandcommons.com/mcp"}}}

Cursor

{"mcpServers":{"safestreets":{"url":"https://safestreets.streetsandcommons.com/mcp"}}}

VS Code

{"servers":{"safestreets":{"type":"http","url":"https://safestreets.streetsandcommons.com/mcp"}}}

Antigravity

agy mcp add safestreets https://safestreets.streetsandcommons.com/mcp

ChatGPT

Settings → Apps & Connectors → Advanced settings: turn on Developer mode, then Create a connector and paste the URL. Which plans can do this varies.

OpenAI API (Responses tools)

{"type":"mcp","server_label":"safestreets","server_url":"https://safestreets.streetsandcommons.com/mcp","require_approval":"always"}

Grok (xAI API tools)

{"type":"mcp","server_label":"safestreets","server_url":"https://safestreets.streetsandcommons.com/mcp"}

Tools

• compare_locations ~382 tokens
  Score 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 names. Returns eve
• find_walkable_neighborhoods ~211 tokens
  Neighborhoods 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, so an empty list m
• get_city_walkability ~179 tokens
  Walkability 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 returns null, whic
• get_dangerous_corridors ~375 tokens
  Road 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 taken on trust. Gi
• get_walkability_score ~784 tokens
  Score 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 on foot, or when eva
• score_many ~253 tokens
  Score 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.
• search_insights ~248 tokens
  Search 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 public sources. U
• search_neighborhoods ~669 tokens
  Ranked 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 walkability, transit, zero-

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