Free read-only search, street context and comparisons for 1.33M street records across 8 US states, with sourced walkability, SNAP retailer and EV station metrics.
The fastmcp library is a Python client for MCP servers. Use it to call MewCP tools from your own scripts and services.
This guide connects MyStreetData USA to Python through MewCP, so Python can use MyStreetData USA's 5 tools, like mystreetdata_get_coverage, mystreetdata_search_areas and mystreetdata_search_streets.
MyStreetData USA needs no credentials, but every call still runs through MewCP: scoped, checked and logged like any other.
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Other clients
MyStreetData USA works the same way in every client below. Pick yours for its own guide.
Free to start.
Scope access to the exact MyStreetData USA tools and accounts you allow, work and personal side by side. Anything outside that scope is refused at call time, even when the model asks for it.
Each call is logged: what ran, on which account, and whether it worked. Failures come back structured, so the agent knows whether to retry instead of guessing.
Every app sits behind one secure MCP URL, and there is no server for you to deploy or keep running. Add an integration in the dashboard and it is live on the next call, with no config to change and no new credentials to wire up. Tools load only when a task needs them, so your agent stays fast and focused however many apps you connect.
SDK clients sign in with an API key. Create one in your dashboard and replace API_KEY in the code below.
SDK clients run without a browser, so they sign in with your API key.
Dataset version, included states and site-area coverage. This is the site catalogue, not all United States streets. Publication verification means an origin HTML file existed at snapshot time; not a claim of indexing or current freshness.
Find a city, county or metro grouping by name; select the state-qualified area_id. Site areas are not guaranteed municipal boundaries. Prefix search.
Find streets by name prefix in one state-qualified site area. Distinguishes ZIPs and persistent IDs. Use search_areas first. Never treats a supplied URL as a fetch target.
EPA block-group walkability and observed SNAP retailers/EV station counts near the street centroid, with period, scale and missing-data status. Not a home, safety or live availability assessment.
Side-by-side contextual measurements for 2–5 distinct IDs. No overall score, ranking or recommendation. Interpret each source period, scale and missing value separately.
