mcp-perception
Geospatial AI MCP server — satellite imagery, embeddings, weather, GNS governance
¿Debería usar esto?
Calidad y seguridad
Hallazgos (1)
- LOWen gns_get_compliance_report
Basado en el análisis automatizado de las definiciones de herramientas y el cumplimiento del protocolo.
Costo de contexto
Este es el número aproximado de tokens que se consumen cada vez que las herramientas del servidor se cargan en el contexto de un modelo. Los recuentos más altos reducen la atención disponible para otras tareas.
Instalar
Instalación con un clic
Agrega esto a tu archivo `claude_desktop_config.json`:
{
"mcpServers": {
"mcp-perception": {
"url": "https://packagesmcp-perception-production.up.railway.app/sse"
}
}
}Puntos de conexión remotos
https://packagesmcp-perception-production.up.railway.app/ssessehttps://packagesmcp-perception-production.up.railway.app/mcpstreamable-httpQué puede hacer
Inventario de herramientas
Herramientas (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.
Esquema de entrada
{
"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,
"$schema": "http://json-schema.org/draft-07/schema#"
}🟢perception_classify(tile_id, task, h3_cell, write_to_spatial_memory)
Run Prithvi-EO-2.0-300M-TL-Sen1Floods11 flood classification on a Sentinel-2 tile previously fetched by perception_fetch_tile. Sends the 6-band chip to a RunPod endpoint and returns: dominant_class, flood_pixel_pct, confidence, class_counts, and the full perception_chain. The perception chain is written to Spatial Memory and a signed audit breadcrumb is dropped to the agent trail.
Esquema de entrada
{
"type": "object",
"properties": {
"tile_id": {
"type": "string",
"description": "tile_id from perception_fetch_tile result (must be in session cache)."
},
"task": {
"type": "string",
"enum": [
"flood",
"landcover",
"burnscar",
"anomaly"
],
"description": "Classification task. Currently only \"flood\" is supported."
},
"h3_cell": {
"type": "string",
"description": "Override H3 cell. Defaults to the cell from the original fetch."
},
"write_to_spatial_memory": {
"type": "boolean",
"description": "Write perception chain to geiant_geometry_state. Default: true."
}
},
"required": [
"tile_id",
"task"
],
"additionalProperties": false,
"$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.
Esquema de entrada
{
"type": "object",
"properties": {
"tile_id": {
"type": "string",
"description": "tile_id from perception_fetch_tile result"
}
},
"required": [
"tile_id"
],
"additionalProperties": false,
"$schema": "http://json-schema.org/draft-07/schema#"
}🟢perception_weather(h3_cell, timestamp, write_to_spatial_memory)
Query atmospheric conditions for an H3 cell at a given timestamp from Open-Meteo ERA5. Returns wind, precipitation, temperature. Writes to Spatial Memory and drops a signed audit breadcrumb.
Esquema de entrada
{
"type": "object",
"properties": {
"h3_cell": {
"type": "string",
"description": "H3 cell ID at any resolution."
},
"timestamp": {
"type": "string",
"description": "ISO 8601 datetime for weather lookup. Defaults to now."
},
"write_to_spatial_memory": {
"type": "boolean",
"description": "Write weather context to geiant_geometry_state. Default: true."
}
},
"required": [
"h3_cell"
],
"additionalProperties": false,
"$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.
Esquema de entrada
{
"type": "object",
"properties": {
"agent_pk": {
"type": "string",
"description": "Ed25519 public key (64 hex chars). Omit for own agent."
}
},
"additionalProperties": false,
"$schema": "http://json-schema.org/draft-07/schema#"
}⚪gns_verify_chain(agent_pk)
Verify the cryptographic integrity of an agent's breadcrumb chain. Returns { is_valid, block_count, issues[] } plus epoch Merkle roots. A valid chain proves no audit records have been tampered with.
Esquema de entrada
{
"type": "object",
"properties": {
"agent_pk": {
"type": "string",
"description": "Ed25519 public key (64 hex chars). Omit for own agent."
}
},
"additionalProperties": false,
"$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.
Esquema de entrada
{
"type": "object",
"properties": {},
"$schema": "http://json-schema.org/draft-07/schema#"
}🟢gns_get_compliance_report(agentHandle)
Returns a full EU AI Act compliance report for a GNS agent, including trust score, chain verification, Merkle epoch proofs, delegation certificate, and regulatory status.
Esquema de entrada
{
"type": "object",
"properties": {
"agentHandle": {
"type": "string",
"description": "GNS handle of the agent (e.g. energy@italy-geiant)"
}
},
"additionalProperties": false,
"$schema": "http://json-schema.org/draft-07/schema#"
}Comunidad
Evidencia