@pipeworx/overture-places

Connect: https://pipeworx.io/mcp — every tool in the catalog, including @pipeworx/overture-places’s. Install: one-click buttons

No MCP client? Skip the connection: POST https://gateway.pipeworx.io/v1/tools/search_packs {"query":"..."} to find a tool below, GET /v1/tools/<name> for its schema, POST the same URL with arguments for the data — see For AI agents.

Tools: 3

Business and point-of-interest locations in the United States and the United Kingdom, from the Overture Maps Foundation places theme. Each place carries a name, category, existence confidence score, street address, websites, phones, emails, social links, brand and contributing source record ids. Use it to find places near a point or in a city, to map every location of a company by its website domain, and to count what is in an area.

Tools

• places_search(name?, category?, near{lat,lon} + radius_m | bbox | city + country [+ region], min_confidence?, include_closed?, limit?): businesses matching a name and/or category. Results are ranked by match quality and then by distance (for near) or confidence. Example: the Starbucks branches within 3 km of downtown Austin.
• places_by_domain(domain, country?, region?, min_confidence?, include_closed?, limit?): every location whose website is on a company’s domain, which gives that company’s physical footprint. Subdomains and paths fold to the registrable domain (https://www.starbucks.com/store-locator → starbucks.com). Returns the total plus counts by country and by state/region.
• places_in_area(near + radius_m | bbox | city + country, category?, min_confidence?, include_closed?, limit?): the count of places in an area, a breakdown by category, and the highest-confidence places.

Every response starts with attribution, a source block (licence, release, terms URL) and data_as_of, which is the Overture release the answer came from (for example 2026-09-23.1).

Confidence

Overture gives every place an existence confidence from 0 to 1 and calls it “the primary tool for filtering potential junk data”. By default this pack hides places below 0.7, and places marked permanently_closed. In the measured sample the distribution breaks sharply at 0.7, and the rows below it were mostly junk. The default keeps about 68% of places. Every place shows its confidence, and every response states the threshold it applied and how many places it hid (hidden_by_filters). To see everything, pass min_confidence: 0 and include_closed: true.

Coverage and limits

• Countries: US and GB. An area or city outside them returns found:false, reason:"outside_coverage" and lists the covered countries.
• One call scans at most 64 data blocks, nearest the centre of the area first. That is about 250,000 places. For a larger area (a whole metro searched by name), the response sets complete:false and explains in coverage_warning what was not searched. places_in_area still gives exact or bounded totals from its index. Narrow the area with near + radius_m for a complete answer.
• City lookup resolves a locality name from the addresses in the data. The region field is consistent in the US (state codes; full state names are accepted too) but inconsistent in the UK, so leave region out for UK cities. A name that matches several places (several Springfields) uses the largest and lists the others in other_places_with_this_name.
• Platform domains are not indexed. Social profiles, link pages, site builders and listing sites (instagram.com, linktr.ee, wixsite.com, yelp.com and similar) identify no single company. places_by_domain refuses them with reason:"platform_domain".
• Very large domains: the 5,000 highest-confidence locations per domain are indexed. The response always gives the true total in locations_listing_domain and says when the cap applied.
• Overture warns that the theme “is known to contain duplicates, a high junk rate, and low property completeness”. Confidence filtering helps with junk but does not remove duplicates.

Auth

Keyless. The pack answers only through the Pipeworx gateway (https://gateway.pipeworx.io/mcp). A standalone install has no Overture release to read, so every call fails with an error that says so.

Data sources

• Overture Maps Foundation places theme, monthly GeoParquet releases: https://docs.overturemaps.org/guides/places/, at s3://overturemaps-us-west-2/release/<release>/theme=places/type=place/. The overture-places-ingest workflow checks for a new release every week (design: docs/overture-places-design.md).

Licence and attribution

The places theme is published under CDLA-Permissive-2.0 and Apache-2.0, depending on the source. Redistribution is permitted, including commercial use, with attribution. Overture states that the theme contains no OpenStreetMap data, so ODbL does not apply. Attribution, as Overture publishes it (https://docs.overturemaps.org/attribution/):

© Overture Maps Foundation (https://overturemaps.org), places theme. Data from Meta. Available under CDLA Permissive 2.0. Data from Microsoft. Available under CDLA Permissive 2.0. Data from PinMeTo. Available under CDLA Permissive 2.0. Data from Krick. Available under CDLA Permissive 2.0. Data from RenderSEO. Available under CDLA Permissive 2.0. Data from DAC. Available under CDLA Permissive 2.0. Data from BrightQuery. Available under CDLA Permissive 2.0. Data from Foursquare. Copyright 2024 Foursquare Labs, Inc. All rights reserved. Available under Apache 2.0. Foursquare data was transformed to the Overture schema. Data from AllThePlaces. Available under CC0 1.0.

Each response’s attribution names the Overture release and the per-source credit lines for the sources in that response. Each place lists its own contributing datasets in sources and their licences in source_licenses.

Tools

• places_search — Find businesses and points of interest by name and/or category near a point, inside a bbox, or within a city, in the United States and the United Kingdom (Overture Maps places). Returns each place wit
• places_by_domain — List every physical location whose website is on a company domain — the store / office / branch footprint of a business — in the United States and the United Kingdom (Overture Maps places). Give a dom
• places_in_area — Count and list the businesses and points of interest inside an area — a bbox, a radius around a point, or a whole city — in the United States and the United Kingdom (Overture Maps places), optionally