Filming Locations

com.thefilmmapv1.1.0更新于 Sep 30, 2026

Where films and TV were shot, and where games, anime and manga are set. Wikidata, read only, CC0.

已验证Streamable HTTP可网页运行Other

安装

在 SourceWeft 中

  1. 打开 控制台中的 Filming Locations,将其添加到工作区。
  2. 为需要使用其工具的对话启用该服务。

Web executable,通过 Streamable HTTP。 远程服务在工作区中配置后即可从网页运行时运行。

其他 MCP 客户端

把它添加到你客户端的 mcpServers 配置中。

{
  "mcpServers": {
    "filming-locations": {
      "type": "http",
      "url": "https://thefilmmap.com/mcp"
    }
  }
}

README

Movie Scene Map MCP server

A Model Context Protocol server for the Movie Scene Map atlas (called FilmMap until 1 September 2026): real filming locations of films and television series, and the real places video games, anime and manga are set in, with coordinates, fame ranking, per-place production lists and the source behind every claim. The counts move with every release; the live figures are on https://moviescenemap.com and in get_statistics.

It is already running. Point a client at the hosted endpoint; there is no install, no signup and no API key:

https://moviescenemap.com/mcp

The older address, https://thefilmmap.com/mcp, keeps answering for clients configured before the rename. Streamable HTTP, stateless, POST-only (a GET returning 405 is correct).

Client configuration

json
{  "mcpServers": {    "moviescenemap": {      "type": "http",      "url": "https://moviescenemap.com/mcp"    }  }}

Tools

ToolWhat it does
where_was_it_filmedGive a title, get the places it was shot at, each with its evidence
what_was_filmed_hereThe inverse, and the question this atlas is unusual for answering: give a place, get everything recorded as made there
search_productionsFind productions by name, accent- and case-insensitive, best match first
search_locationsFind places by name, filterable by country or kind of place
locations_nearPlaces within a radius of a WGS84 coordinate, each with distance_km
top_locationsThe atlas ranked, worldwide or inside one country or one kind of place
list_countriesEvery country with how many filming locations it holds
get_statisticsLive aggregates: totals by medium and by kind of place, top countries, busiest places

What an answer will and will not claim

This is the part worth reading before wiring it into anything that writes prose.

Films and series are placed by filming location (P915). Video games, anime and manga are filmed nowhere, so they are placed by narrative location (P840), where the story is set, and every record says which relation it carries. Repeating one as the other publishes a false claim.

A place is not a scene. P915 records that a production filmed at a place and stops there. Which scene was shot where is not in the data and must not be inferred from it.

Two kinds of evidence, never merged. Most links are Wikidata statements. Some are places named in a production's English Wikipedia Filming section, or a setting category its editors filed it under; those arrive in their own fields, labelled with the exact article and section they were read from. Say "per Wikipedia" when you repeat one.

Coverage is uneven and the server says so. Some productions are recorded only at country level and appear with countries and no coordinates. Those that cannot be placed at all are published as a work list at moviescenemap.com/gaps/ so they can be fixed on Wikidata.

Data

Built from Wikidata, with photographs from Wikimedia Commons and article text linked rather than bundled. The factual records are CC0 and downloadable as GeoJSON and CSV from moviescenemap.com/data, also mirrored on GitHub.

The server reads one file, atlas-compact.json, which is the site's own wire format and is rebuilt on every deploy.

Running it yourself

sh
ATLAS_JSON=/path/to/atlas-compact.json PORT=8896 node server.mjs

Or with Docker, which bakes the public copy of the atlas into the image:

sh
docker build -t filmmap-mcp .docker run -p 8896:8896 filmmap-mcp     # → http://localhost:8896/mcp

HOST defaults to 127.0.0.1; the container sets 0.0.0.0 because the default is unreachable from outside a container.

Licence

MIT for the server. The dataset it serves is CC0; photographs and Wikipedia text referenced by URL stay under their own licences.

来源:README.md,提交 18ff97c

工具

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版本历史

1
  1. v1.1.0最新Sep 16, 2026