Local MCP capabilities provider for Expo
Nothing to run from here
GEIANT — Geospatial AI Governance Runtime 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.
8
tools declared
—
trust score
remote
at its publisher
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calls last 7d
What it does
EU AI Act compliance for AI agents. Audit trail, delegation certs, and geospatial AI inference.
Quickstart
# 1 — add it to Claude Code
claude mcp add --scope user --transport http geiant-geospatial-ai-governance-runtime-mcp https://packagesmcp-perception-production.up.railway.app/mcp
# 2 — ask your agent for something these tools do
# perception_fetch_tile, perception_classify, perception_embed and 5 more
GEIANT — Geospatial AI Governance Runtime costs nothing on mcprush: there is no plan to choose here, no cap to set and nothing mcprush can bill you for.
Publishernot claimed
PPAll 1 server
packagesmcp-perception-production.up.railway.app1 server
1 category
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. Nothing here runs on your machine and nothing runs on ours: this server answers at its publisher’s own address, and what you install is the connection straight to it.
Claude Codedeclared by this listing
This is a public server: it answers at its publisher’s own address and this marketplace is not in the path. Claude Code registers it in one command; --scope user makes it available in every project. The transport below is http, as the publisher's own manifest declares it.
claude mcp add --scope user --transport http geiant-geospatial-ai-governance-runtime-mcp https://packagesmcp-perception-production.up.railway.app/mcpReconnect, or start a new session, and the tools appear in the model’s tool list.
Free on mcprush, and it answers at its publisher’s own address: this marketplace is not in the path, so there is no key of ours to hold and no card to add.
What it writes
One config entry pointing straight at the publisher’s own address — this marketplace is not in the path, and nothing from this listing executes on your machine.
What you approve
8 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.
Fetch the least-cloudy Sentinel-2 L2A tile covering a given H3 cell from Microsoft Planetary Computer. Returns signed COG band URLs for all 6 Prithvi/Clay spectral bands (B02 Blue, B03 Green, B04 Red, B8A NIR, B11 SWIR1, B12 SWIR2), plus tile metadata. The tile is cached in memory for subsequent perception_classify or perception_embed calls.
| Parameter | Type | Required | Notes |
|---|---|---|---|
| h3_cell | string | yes | H3 cell ID at any resolution. |
| timestamp | string | no | ISO 8601 datetime. Search back from this point. Defaults to now. |
| max_cloud_cover | number | no | Max cloud cover %. Default: 20. |
| days_back | number | no | Days to search back. Default: 30. |
Run Prithvi-EO-2.0-300M-TL-Sen1Floods11 flood classification on a Sentinel-2 tile previously fetched by perception_fetch_tile. Sends the 6-band chip to a RunPod endpoint and returns: dominant_class, flood_pixel_pct, confidence, class_counts, and the full perception_chain. The perception chain is written to Spatial Memory and a signed audit breadcrumb is dropped to the agent trail.
| Parameter | Type | Required | Notes |
|---|---|---|---|
| tile_id | string | yes | tile_id from perception_fetch_tile result (must be in session cache). |
| task | string | yes | Classification task. Currently only "flood" is supported. |
| h3_cell | string | no | Override H3 cell. Defaults to the cell from the original fetch. |
| write_to_spatial_memory | boolean | no | Write perception chain to geiant_geometry_state. Default: true. |
[Sub-phase 4.2 — NOT YET IMPLEMENTED] Will generate Clay v1.5 embeddings.
| Parameter | Type | Required | Notes |
|---|---|---|---|
| tile_id | string | yes | tile_id from perception_fetch_tile result |
Query atmospheric conditions for an H3 cell at a given timestamp from Open-Meteo ERA5. Returns wind, precipitation, temperature. Writes to Spatial Memory and drops a signed audit breadcrumb.
| Parameter | Type | Required | Notes |
|---|---|---|---|
| h3_cell | string | yes | H3 cell ID at any resolution. |
| timestamp | string | no | ISO 8601 datetime for weather lookup. Defaults to now. |
| write_to_spatial_memory | boolean | no | Write weather context to geiant_geometry_state. Default: true. |
Get the current TierGate trust tier and score for an agent. Tiers: provisioned (0%) → observed (25%) → trusted (60%) → certified (85%) → sovereign (99%). Omit agent_pk to query the server's own agent.
| Parameter | Type | Required | Notes |
|---|---|---|---|
| agent_pk | string | no | Ed25519 public key (64 hex chars). Omit for own agent. |
Verify the cryptographic integrity of an agent's breadcrumb chain. Returns { is_valid, block_count, issues[] } plus epoch Merkle roots. A valid chain proves no audit records have been tampered with.
| Parameter | Type | Required | Notes |
|---|---|---|---|
| agent_pk | string | no | Ed25519 public key (64 hex chars). Omit for own agent. |
Roll all pending breadcrumbs into a new sealed epoch with a Merkle root. Returns { epoch_index, merkle_root, block_count, epoch_hash }. Call this at the end of a session to produce a tamper-evident compliance snapshot.
No parameter schema on file.
Returns a full EU AI Act compliance report for a GNS agent, including trust score, chain verification, Merkle epoch proofs, delegation certificate, and regulatory status.
| Parameter | Type | Required | Notes |
|---|---|---|---|
| agentHandle | string | no | GNS handle of the agent (e.g. energy@italy-geiant) |
Free
$0 forever
- Every tool — any call limit is its publisher’s, not ours
- No card, and mcprush charges nothing for it
- Runs at its publisher’s own address — this marketplace is not in the path
- 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 GEIANT — Geospatial AI Governance Runtime 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: —
—Grade not published
No rule-by-rule report on file for this release
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.
This listing is an address its publisher runs, and you connect to it directly — this marketplace is not in the path. The scanner reads packages and public source, and an address is neither. So there is no grade — not a withheld one, an unmeasured one.
Release history
This is an address its publisher runs: which release it serves is theirs to choose, so there is nothing here to pin. The history below is for reading; the current release on file is 0.3.0.
0.3.0
undated
latestNo release note was published with this version.
—
no reviews yet
Who can review
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.
Sign in to write one
Any signed-in account that does not publish GEIANT — Geospatial AI Governance Runtime can review it, once — before installing it or after. A review from an account that has installed it is marked as one.
No reviews yet
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.