Comprehensive Model Context Protocol server for managing Home Assistant through AI assistants.
Ekidata is installed from its publisher's own source and answers where it runs, so this marketplace is not in the path of a single call. There is no address here to send one to, and a panel that pretended otherwise would be showing you an answer we made up. Install it and call it from your own client — the Installation tab has the entry for each one.
What it does
Japanese station, accessibility, hazard and alert data from official sources, in English.
Quickstart
# 1 — add it to Claude Code
claude mcp add --scope user ekidata-mcp '--' npx -y @reneturcios/ekidata mcp
# 2 — ask your agent for something these tools do
# ping, get_municipality_context, get_station_context and 7 more
Ekidata costs nothing on mcprush: there is no plan to choose here, no cap to set and nothing mcprush can bill you for.
Collected from a public index. Nobody has claimed this account, so nothing here was written by its author — claim it if it is yours.
Where are you running it?
Every route below installs the same thing and ends at the same approval screen. This one runs on your machine: your client starts Ekidata as a process under your own user, with your files and your network, so the tool surface below is what it can do to your computer rather than to a server somewhere else. Its scan result is on the Security tab — read the surface before you approve it.
This is a public server: you run it yourself and this marketplace is not in the path. You need Node.js — the current LTS (24) is the safe choice; npx comes with it. Claude Code registers it in one command; --scope user makes it available in every project. The '--' is in quotes so that PowerShell passes it on.
claude mcp add --scope user ekidata-mcp '--' npx -y @reneturcios/ekidata mcpReconnect, or start a new session, and the tools appear in the model’s tool list.
One config entry your client uses to start the process locally. A local server runs with your file system and your network, which is why it is priced without metering.
10 tools, with what each one reads, writes and reaches shown before you agree — the same list on every route above. Read the tool surface.
Tool surface
What the model actually sees. Descriptions are diffed on every release — see version history.
Read from its source code. A server that builds its tool list when it starts can list more tools than this.
Connection test / health check — call this first to confirm the server is reachable. Returns server identity, deploy version, tool count, station coverage, and the update times of the realtime layers (JMA alerts, train status) so you can confirm freshness, not just liveness. No auth, no arguments,…
No parameter schema on file.
Official Japanese government data for any municipality, one call — housing vacancy (2003–2023), nearest-station ridership trend, hazard categories, land prices, livability counts. No scores, no judgment — official values only. Accepts a 5-digit municipality code (13104) or an exact name…
| Parameter | Type | Required | Notes |
|---|---|---|---|
| name_or_code | string | yes | 5-digit 全国地方公共団体コード (e.g. 13104) or exact municipality name (Shinjuku-ku / 新宿区). |
| fields | string | no | Optional comma-separated subset: vacancy,ridership,population,hazard,land_price,livability. |
Same official municipality data as get_municipality_context, resolved from a station: pass a station name (Shinjuku / 新宿 / Musashi-Kosugi) or a Japan Station Master station_id (e.g. st_00001), and it returns the context for that station's municipality. Official values only — no scores.
| Parameter | Type | Required | Notes |
|---|---|---|---|
| station_name | string | no | Station name in English/romaji (Shinjuku) or Japanese (新宿). Provide this or station_id. |
| station_id | string | no | Japan Station Master station_id (e.g. st_00001). Alternative to station_name. |
| fields | string | no | Optional comma-separated subset: vacancy,ridership,population,hazard,land_price,livability. |
Look up wheelchair-accessible / multipurpose toilets inside a train station, including floor, gender, equipment (wheelchair, ostomate, diaper table) and the nearest exit. Covers 526 Tokyo stations (Tokyo Bureau of Social Welfare data). Major stations outside Tokyo (Yokohama, Kawasaki, Omiya,…
| Parameter | Type | Required | Notes |
|---|---|---|---|
| station | string | yes | Station name in Japanese (新宿, 渋谷) or romaji for major stations (Shinjuku, Shibuya, Kita-Senju). |
List public toilets in a Japanese municipality, with wheelchair / baby-seat / ostomate flags, address and coordinates. Covers 612 municipalities nationwide (large cities capped at the top 50 results). Municipality names accept Japanese (e.g. 那覇市, 渋谷区); prefixing the prefecture improves accuracy.
| Parameter | Type | Required | Notes |
|---|---|---|---|
| city | string | yes | Municipality name in Japanese (e.g. 那覇市, 渋谷区, 上天草市). Prefix the prefecture for accuracy. |
Official disaster-risk categories at a Japanese train station, relayed live from the MLIT 不動産情報ライブラリ (Real Estate Information Library): flood inundation-depth rank, landform / liquefaction classification, and storm-surge inundation-area presence (landslide & tsunami are license-restricted and…
| Parameter | Type | Required | Notes |
|---|---|---|---|
| station_name | string | yes | Station name in Japanese (新宿, 武蔵小杉) or romaji (Shinjuku, Musashi-Kosugi). |
Discover Japanese train stations by describing what you want around them, in English or Japanese — "朝ラーメンが食べられて車椅子トイレがある駅", "terminal station with late-night ramen", "水害リスクが低くてラーメンが多い駅". Semantic search over 9,035 station profiles (lines/terminal size, ramen density & styles, in-station…
| Parameter | Type | Required | Notes |
|---|---|---|---|
| q | string | yes | Natural-language description of the station/area you want (ja/en). Concrete attribute words (朝ラー, wheelchair toilet, terminal, 水害リスク低) match best. |
| name_contains | string | no | Substring filter on the station name (matches both 日本語 name_ja and romaji name, e.g. "谷" or "sakura"). ANDs with other filters; q still ranks the matches. Use for "stations whose name contains X" requ |
| pref | string | no | Optional prefecture filter, Japanese (東京都, 千葉 OK) or romaji (tokyo/osaka). Auto-inferred from the query text when omitted. |
| limit | number | no | Max results (default 10; max 20, or 300 when name_contains is given — set limit >= name_matches_total for exhaustive name-match coverage). |
| morning_ramen | boolean | no | Require morning-ramen availability nearby (auto-inferred from 朝ラー/morning…). |
| late_ramen | boolean | no | Require late-night ramen nearby (auto-inferred from 深夜/late night…). |
| ramen_min | number | no | Require at least this many ramen shops nearby (e.g. 30). |
| accessible_toilet_min | number | no | Require at least this many in-station accessible toilets (Tokyo stations only; auto-inferred from 車椅子/wheelchair…). |
| diaper | boolean | no | Require a diaper changing table in station toilets (auto-inferred from おむつ/子連れ…). |
| flood_rank_max | number | no | Max official flood inundation-depth rank 0–6 (0 = no assumed inundation; auto-inferred from 水害リスク低/flood-safe…). |
Live river flood forecasts and landslide alerts for Japan (JMA official). NOT general weather warnings (storm/heavy rain/snow) and NOT earthquakes. Covers JMA 指定河川洪水予報 (river flood forecast, levels 2–5) and 土砂災害警戒情報 (landslide warning), each with level, affected area, official summary and issue…
| Parameter | Type | Required | Notes |
|---|---|---|---|
| area | string | no | Optional prefecture code (01–47, e.g. 13 = Tokyo) or JMA forecast-area code. |
Live JMA river flood forecasts and landslide alerts affecting a station's prefecture — NOT general weather warnings. Ask by station name in Japanese (新宿) or romaji (Shinjuku). Prefecture-level match (station master is Greater Tokyo). Relay of official JMA facts.
| Parameter | Type | Required | Notes |
|---|---|---|---|
| station_name | string | yes | Station name in Japanese (新宿) or romaji (Shinjuku). |
Live train service status for Tokyo-area lines — delays, suspensions, resumptions. Ask 'is the Yamanote Line running?' by line or station name, English or Japanese. Status enum: normal / delayed / suspended / resumed. Cause text relayed from ODPT (English summary for known patterns, else original…
| Parameter | Type | Required | Notes |
|---|---|---|---|
| query | string | yes | Line or station name (English or Japanese), e.g. "Yamanote" or "新宿". |
- Every tool, no call limit
- No card, and mcprush charges nothing for it
- Source published under MIT
- Runs on your machine — nothing of it reaches our gateway
- Nothing to cap, because mcprush bills nothing
What counts against your monthly calls
| Tool | Unit | Calls used | Out of the allowance |
|---|
Nothing here is billable: mcprush charges nothing to install Ekidata or to call it, at any volume.
Two independent axes, because powerful and malicious are different questions. The grade is threat only. The capability level is blast radius, and it is never a penalty on the grade — it is priced as one subtract-only term in the score, where you can see it.
| Term | Level | What it prices | Points |
|---|---|---|---|
| capability-exposure | minimal | capability blast radius (minimal) — client exposure if the model is manipulated | −0 |
| verification-discount | repo | publisher verification (public source) — no provenance, but the source is public and inspectable | −1 |
| coverage-honesty | source | inspection depth (source) — how much of the target the scan could see | −0 |
What the scan could actually read
A grade is only as meaningful as its coverage, so the scanner publishes its own depth before it publishes its result.
No tools were enumerated, so prompt-injection, capability and toxic-flow analysis had no tool surface to inspect. To grade a package’s real runtime tools, scan the running server: --command "npx -y <package>".
Capability — what it could do if the model were manipulated
Tags derived from each tool’s schema and the implementation, not from what the tool calls itself. minimal is the level these add up to.
| Tool | Capability tags | Why the tag was assigned |
|---|---|---|
| No per-tool rows for this release — see the note below. | ||
Toxic-flow graph
The lethal trifecta, checked as a graph rather than as a checklist: untrusted input, a sensitive source and an external sink have to meet before there is a path worth worrying about.
The public result for this release does not print the flow graph, so there is nothing to show here. That is not the same as "no paths were found": what the scan did read is above, under coverage.
Supply chain and provenance
This is the first scan of this surface here, so there is nothing yet to compare it against.
Every result on this tab comes from one deterministic pass over the published package — offline, rule by rule, and auditable line by line above. Same methodology version, same bytes, same score.
Release history
Always latest — the install command names no version, so it installs the newest release when it runs; the current release on file is 0.1.0. Pin a release below and the command asks for exactly that one.
No release note was published with this version.
One review per account, from a signed-in account that does not publish this listing. Nothing else is asked — you can say what you think before you install it. Publishers can reply once per review, and a review can be edited or deleted by whoever wrote it.
Any signed-in account that does not publish Ekidata can review it, once — before installing it or after. A review from an account that has installed it is marked as one.
Nobody has reviewed this listing. The rating on the card is the mean of the reviews written here and nothing else, so there is no rating until somebody writes the first — which takes a signed-in account that does not publish it, and nothing else.