Comprehensive Model Context Protocol server for managing Home Assistant through AI assistants.
Nothing to run from here
Japan Geospatial Open Data 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.
93/100
trust score
7
tools declared
local
runs on your machine
67
downloads
What it does
Japan geospatial MCP: GSI tiles, e-Stat, MLIT school districts for real-estate analysis.
Quickstart
Install it the way its author documents:
1. Download japan-geospatial-open-data-mcp.mcpb and open it in Claude Desktop or another client that installs MCP bundles (.mcpb)
2. Its sha256 is d8dd357794126c32e0163f0bd59228383864837afdd3d417ccea0e7a5ccf4c2a
The full guide: https://github.com/atushi1841/japan-geospatial-open-data-mcp/releases/download/v1.0.0/japan-geospatial-open-data-mcp.mcpb
Publishernot claimed
ATAll 24 servers
atushi184124 servers
5 categories
Collected from a public index. Nobody has claimed this account, so nothing here was written by its author — claim it if it is yours.
Installation
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 Japan Geospatial Open Data 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.
Install it the way its author documents:
1. Download japan-geospatial-open-data-mcp.mcpb and open it in Claude Desktop or another client that installs MCP bundles (.mcpb)
2. Its sha256 is d8dd357794126c32e0163f0bd59228383864837afdd3d417ccea0e7a5ccf4c2a
The full guide: https://github.com/atushi1841/japan-geospatial-open-data-mcp/releases/download/v1.0.0/japan-geospatial-open-data-mcp.mcpb
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.
Geocode a Japanese address to lat/lon using the official GSI address search API. Returns up to 10 candidate locations.
| Parameter | Type | Required | Notes |
|---|---|---|---|
| address | string | yes | Japanese address, e.g. '東京都渋谷区道玄坂' |
Fetch a GSI (Geospatial Information Authority) map tile as a base64 image. Keyless. Layers: std, pale, seamlessphoto, nendophoto2022-2024, optimal_bvmap, blank, english, gazo1/gazo4 (historic aerial). Returns tile URL plus a base64 image.
| Parameter | Type | Required | Notes |
|---|---|---|---|
| layer | string | yes | Tile layer id (see description) |
| lat | number | yes | Center latitude (WGS84) |
| lon | number | yes | Center longitude (WGS84) |
| z | integer | yes | Zoom level (2-18 depending on layer) |
List all open data sources this MCP server can access (GSI tiles/geocoder, e-Stat, MLIT national geographical info, MLIT real estate library) and which require API keys.
No parameter schema on file.
Fetch statistics from Japan's e-Stat national statistics API (v3.0). Requires ESTAT_APP_ID env var (free registration). Known tables: population, population_age, vital_stats, household; or pass raw stats_data_id.
| Parameter | Type | Required | Notes |
|---|---|---|---|
| table_key | string | no | Known table key or omit |
| stats_data_id | string | no | Raw e-Stat stats table ID |
| cd_cat01 | string | no | e-Stat narrowing code cat1, e.g. '#A03503' |
| cd_cat02 | string | no | e-Stat narrowing code cat2 |
| cd_cat03 | string | no | e-Stat narrowing code cat3 |
Fetch metadata (aggregation items, region items, classification items) for an e-Stat stats table. Requires ESTAT_APP_ID env var.
| Parameter | Type | Required | Notes |
|---|---|---|---|
| table_key | string | no | Known table key or omit |
| stats_data_id | string | no | Raw e-Stat stats table ID |
List nationwide school district (A27 Kokuto Suuchi Jhouhou) GML/GeoJSON files from nlftp.mlit.go.jp (MLIT National Geographical Information, keyless). Used for school-catchment real estate analysis.
| Parameter | Type | Required | Notes |
|---|---|---|---|
| prefecture | string | no | Optional prefecture code filter (e.g. 13 for Tokyo) - filters file names |
Fetch school district GIS tile (XKT004) from MLIT Real Estate Information Library as GeoJSON. Requires REINFOLIB_API_KEY env var (free application). Tile coords: z=11..15, x/y from XYZ tiling at that zoom.
| Parameter | Type | Required | Notes |
|---|---|---|---|
| z | integer | yes | Zoom 11-15 |
| x | integer | yes | Tile X |
| y | integer | yes | Tile Y |
| administrative_area_code | string | no | Optional 5-digit admin area code (e.g. 13105 for Shibuya) - comma-separate for multiple |
Free
$0 forever
- 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 Japan Geospatial Open Data or to call it, at any volume.
Call allowance · this installenforced at the gateway
Monthly allowance, in calls
—
—
Alert at 80% · then the tool returns a normal MCP error
Used this month: —
ATrust score 93 / 100
Release 1.0.0 · scanned 18 Oct 2026
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.
Threat score100
Client score93
Findings1 threat · 0 capability
Capabilityhigh
Coveragesource
Verificationrepo
Surface digest3091a9d32ef916c0e60f64df9af0bd1d05738c131f04bbe9786eb31509286bb8
Score vectorthreat 100 → client 93
| Term | Level | What it prices | Points |
|---|---|---|---|
| capability-exposure | high | capability blast radius (high) — client exposure if the model is manipulated | −6 |
| 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 |
score = clamp(round(threatScore − E_cap − E_ver − E_cov), 0, 100). No model, no opinion, no network call at scoring time: the same methodology version against the same bytes always produces this number, and every line above is a field of the report rather than a summary of it.
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.
Tool surfaceread
Implementation sourceread
Package metadataread
Live transportnot available
Tools were statically extracted from the published source (7 recovered), not enumerated from a running server. Tool-poisoning, Unicode-smuggling, capability and toxic-flow analysis ran on this inferred surface, but a mis-parsed registration could be missed or mis-attributed, so tool-derived findings are capped below “confirmed”. To grade the real runtime surface, 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. high is the level these add up to.
| Tool | Capability tags | Why the tag was assigned |
|---|---|---|
| geocode_japan | no tags | |
| get_gsi_tile | untrusted-input | untrusted-input: keyword "fetch" |
| list_data_sources | no tags | |
| get_estat_data | untrusted-input | untrusted-input: keyword "fetch" |
| get_estat_meta | untrusted-input | untrusted-input: keyword "fetch" |
| list_school_districts | no tags | |
| get_school_district_geojson | untrusted-input | untrusted-input: keyword "fetch" |
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
Integrityfirst-seen
Surface digest3091a9d32ef916c0
Scanned2026-10-18
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
It installs from its repository rather than from a versioned package, so the command cannot be pinned to a release. The history below is for reading; the current release on file is 1.0.0.
1.0.0
undated
latestNo release note was published with this version.
—
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