mcp-perception
Geospatial AI MCP server — satellite imagery, embeddings, weather, GNS governance
Sollte ich dies verwenden
Qualität und Sicherheit
Befunde (1)
- LOWin gns_get_compliance_report
Basierend auf einer automatisierten Analyse der Tool-Definitionen und der Einhaltung des Protokolls.
Kontextkosten
Dies ist die ungefähre Anzahl der Tokens, die jedes Mal verbraucht werden, wenn die Tools des Servers in den Kontext eines Modells geladen werden. Höhere Werte verringern die Aufmerksamkeit, die für andere Aufgaben verfügbar ist.
Installieren
Installation mit einem Klick
Fügen Sie dies Ihrer Datei `claude_desktop_config.json` hinzu:
{
"mcpServers": {
"mcp-perception": {
"url": "https://packagesmcp-perception-production.up.railway.app/sse"
}
}
}Remote-Endpunkte
https://packagesmcp-perception-production.up.railway.app/ssessehttps://packagesmcp-perception-production.up.railway.app/mcpstreamable-httpWas es kann
Tool-Inventar
Tools (8)
🟢perception_fetch_tile(h3_cell, timestamp, max_cloud_cover, days_back)
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.
Eingabe-Schema
{
"type": "object",
"properties": {
"h3_cell": {
"type": "string",
"description": "H3 cell ID at any resolution."
},
"timestamp": {
"type": "string",
"description": "ISO 8601 datetime. Search back from this point. Defaults to now."
},
"max_cloud_cover": {
"type": "number",
"minimum": 0,
"maximum": 100,
"description": "Max cloud cover %. Default: 20."
},
"days_back": {
"type": "number",
"minimum": 1,
"maximum": 365,
"description": "Days to search back. Default: 30."
}
},
"required": [
"h3_cell"
],
"additionalProperties": false,
"$schema": "http://json-schema.org/draft-07/schema#"
}🟢perception_classify(tile_id, task, h3_cell, write_to_spatial_memory)
Run Prithvi-EO-2.0-300M-TL-Sen1Floods11 flood classification on a Sentinel-2 tile previously fetched by perception_fetch_tile. Sends the 6-band chip to a RunPod endpoint and returns: dominant_class, flood_pixel_pct, confidence, class_counts, and the full perception_chain. The perception chain is written to Spatial Memory and a signed audit breadcrumb is dropped to the agent trail.
Eingabe-Schema
{
"type": "object",
"properties": {
"tile_id": {
"type": "string",
"description": "tile_id from perception_fetch_tile result (must be in session cache)."
},
"task": {
"type": "string",
"enum": [
"flood",
"landcover",
"burnscar",
"anomaly"
],
"description": "Classification task. Currently only \"flood\" is supported."
},
"h3_cell": {
"type": "string",
"description": "Override H3 cell. Defaults to the cell from the original fetch."
},
"write_to_spatial_memory": {
"type": "boolean",
"description": "Write perception chain to geiant_geometry_state. Default: true."
}
},
"required": [
"tile_id",
"task"
],
"additionalProperties": false,
"$schema": "http://json-schema.org/draft-07/schema#"
}⚪perception_embed(tile_id)
[Sub-phase 4.2 — NOT YET IMPLEMENTED] Will generate Clay v1.5 embeddings.
Eingabe-Schema
{
"type": "object",
"properties": {
"tile_id": {
"type": "string",
"description": "tile_id from perception_fetch_tile result"
}
},
"required": [
"tile_id"
],
"additionalProperties": false,
"$schema": "http://json-schema.org/draft-07/schema#"
}🟢perception_weather(h3_cell, timestamp, write_to_spatial_memory)
Query atmospheric conditions for an H3 cell at a given timestamp from Open-Meteo ERA5. Returns wind, precipitation, temperature. Writes to Spatial Memory and drops a signed audit breadcrumb.
Eingabe-Schema
{
"type": "object",
"properties": {
"h3_cell": {
"type": "string",
"description": "H3 cell ID at any resolution."
},
"timestamp": {
"type": "string",
"description": "ISO 8601 datetime for weather lookup. Defaults to now."
},
"write_to_spatial_memory": {
"type": "boolean",
"description": "Write weather context to geiant_geometry_state. Default: true."
}
},
"required": [
"h3_cell"
],
"additionalProperties": false,
"$schema": "http://json-schema.org/draft-07/schema#"
}🟢gns_get_trust_score(agent_pk)
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.
Eingabe-Schema
{
"type": "object",
"properties": {
"agent_pk": {
"type": "string",
"description": "Ed25519 public key (64 hex chars). Omit for own agent."
}
},
"additionalProperties": false,
"$schema": "http://json-schema.org/draft-07/schema#"
}⚪gns_verify_chain(agent_pk)
Verify the cryptographic integrity of an agent's breadcrumb chain. Returns { is_valid, block_count, issues[] } plus epoch Merkle roots. A valid chain proves no audit records have been tampered with.
Eingabe-Schema
{
"type": "object",
"properties": {
"agent_pk": {
"type": "string",
"description": "Ed25519 public key (64 hex chars). Omit for own agent."
}
},
"additionalProperties": false,
"$schema": "http://json-schema.org/draft-07/schema#"
}⚪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.
Eingabe-Schema
{
"type": "object",
"properties": {},
"$schema": "http://json-schema.org/draft-07/schema#"
}🟢gns_get_compliance_report(agentHandle)
Returns a full EU AI Act compliance report for a GNS agent, including trust score, chain verification, Merkle epoch proofs, delegation certificate, and regulatory status.
Eingabe-Schema
{
"type": "object",
"properties": {
"agentHandle": {
"type": "string",
"description": "GNS handle of the agent (e.g. energy@italy-geiant)"
}
},
"additionalProperties": false,
"$schema": "http://json-schema.org/draft-07/schema#"
}Community
Nachweis