Search / com.geiant/mcp-perception
mcp-perception
R0· no sign-inGeospatial AI MCP server — satellite imagery, embeddings, weather, GNS governance
v0.3.3 · active · repository · descriptor JSON · versions
Search / com.geiant/mcp-perception
R0· no sign-inGeospatial AI MCP server — satellite imagery, embeddings, weather, GNS governance
v0.3.3 · active · repository · descriptor JSON · versions
{
"mcpServers": {
"mcp-perception": {
"type": "http",
"url": "https://packagesmcp-perception-production.up.railway.app/mcp"
}
}
}claude mcp add --transport http mcp-perception https://packagesmcp-perception-production.up.railway.app/mcp[mcp_servers.mcp-perception]
url = "https://packagesmcp-perception-production.up.railway.app/mcp"
{
"$schema": "https://opencode.ai/config.json",
"mcp": {
"mcp-perception": {
"type": "remote",
"url": "https://packagesmcp-perception-production.up.railway.app/mcp",
"enabled": true
}
}
}{
"mcpServers": {
"mcp-perception": {
"type": "http",
"url": "https://packagesmcp-perception-production.up.railway.app/mcp"
}
},
"deeplink": "cursor://anysphere.cursor-deeplink/mcp/install?name=mcp-perception&config=eyJ0eXBlIjoiaHR0cCIsInVybCI6Imh0dHBzOi8vcGFja2FnZXNtY3AtcGVyY2VwdGlvbi1wcm9kdWN0aW9uLnVwLnJhaWx3YXkuYXBwL21jcCJ9"
}{
"servers": {
"mcp-perception": {
"type": "http",
"url": "https://packagesmcp-perception-production.up.railway.app/mcp"
}
}
}{
"mcpServers": {
"mcp-perception": {
"httpUrl": "https://packagesmcp-perception-production.up.railway.app/mcp"
}
}
}extensions:
"mcp-perception":
enabled: true
name: "mcp-perception"
type: streamable_http
uri: "https://packagesmcp-perception-production.up.railway.app/mcp"
timeout: 300
protocol.modernnewest supported version is 2025-11-25; 2026-07-28 not supported, older versions are deprecated until 2027-07-28protocol.statelessonly applies to 2026-07-28 serversprotocol.transportstreamable HTTPprotocol.list_ttlonly applies to 2026-07-28 serversauth.prm, auth.as_metadata, auth.cimdno remote uses OAuthauth.secret_in_urlno templated URLtools.descriptionsevery tool has a descriptiontools.description_lengthdescriptions are concisetools.schemasevery tool has an object input schematools.annotationsno tool declares readOnlyHint or destructiveHint, so clients cannot tell safe calls from risky onestools.directory_hintsno tool declares all four of readOnlyHint, destructiveHint, idempotentHint and openWorldHint; missing: gns_get_compliance_report (readOnlyHint, destructiveHint, idempotentHint, openWorldHint); perception_fetch_tile (readOnlyHint, destructiveHint, idempotentHint, openWorldHint); perception_classify (readOnlyHint, destructiveHint, idempotentHint, openWorldHint); …tools.token_costabout 1,129 tokens to load every tooltools.api_dumptools are not a one-to-one API dumpstability.changesno tool changes in 30 daysstability.rug_pullno tool changed its meaning under the same namedeps.known_vulns, deps.mcp_sdk_version, deps.resolvableno npm or PyPI packageNo tool definition changes recorded. A server's first observation is its baseline; later probes record what changes.
Checks run on what our credential-free, read-only probes observe; tools are never called and no code audit is performed. How it is computed.
+repository +dns-namespace +reachable +uptime-100% -stale-192d
Derived from observable signals (official registry feed and our own credential-free probes); no code audit performed. How it is computed.
| remote | auth | reachable | uptime 30d | p50 | protocol | last ok |
|---|---|---|---|---|---|---|
https://packagesmcp-perception-production.up.railway.app/mcp streamable-http | none | yes | 100% | 229 ms | 2025-11-25 | 2026-10-20 |
gns_get_compliance_report | 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. |
gns_get_trust_score | 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. |
gns_roll_epoch | 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. |
gns_verify_chain | 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. |
perception_classify | 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. |
perception_embed | [Sub-phase 4.2 — NOT YET IMPLEMENTED] Will generate Clay v1.5 embeddings. |
perception_fetch_tile | 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. |
perception_weather | 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. |
Schemas: list_tools.
1 other active names share this repository: com.geiant/mcp-agentcore
{
"name": "com.geiant/mcp-perception",
"$schema": "https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json",
"remotes": [
{
"url": "https://packagesmcp-perception-production.up.railway.app/mcp",
"type": "streamable-http"
}
],
"version": "0.3.3",
"repository": {
"url": "https://github.com/GNS-Foundation/geiant",
"source": "github",
"subfolder": "packages/mcp-perception"
},
"description": "Geospatial AI MCP server — satellite imagery, embeddings, weather, GNS governance"
}