AI-Powered Cargo Management API

AI Operations

Endpoint

AI-powered cargo management and optimization endpoints

Universal MCP endpoint

MCP Endpoint

Copy the url to connect any MCP-compatible AI tool

https://api.cosmocargo.space/ai/v1/mcp

AI Tool Configuration

Choose your AI tool and copy the configuration to get started.

Open Claude Desktop and click Settings in the lower corner
Navigate to Developer tab → Edit Config

Add this configuration to claude_desktop_config.json:

claude_desktop_config.json

{
  "mcpServers": {
    "Cosmo Cargo AI": {
      "command": "npx",
      "args": [
        "mcp-remote",
        "https://api.cosmocargo.space/ai/v1/mcp"
      ]
    }
  }
}

Save the file and restart Claude Desktop. Look for the 🔨 icon in the bottom-right corner.

macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
Windows: %APPDATA%\Claude\claude_desktop_config.json

View official docs

Optimize cargo routing

POST

https://api.cosmocargo.space/ai/v1

/optimize

Uses advanced AI algorithms to find the optimal route for cargo shipments across the solar system, considering factors like transit time, cost, and special cargo requirements.

Optimize cargo routing › Request Body

originstring · required
Origin space station or planet
Example: Earth Station Alpha
destinationstring · required
Destination space station or planet
Example: Mars Colony Beta
cargoobject[] · required

constraintsobject

Optimize cargo routing › Responses

Optimization completed successfully

recommendedRouteobject
estimatedCostnumber · float
Cost in Galactic Credits
estimatedTimeinteger
Transit time in Earth days
confidenceScorenumber · float · min: 0 · max: 1
alternativeRoutesobject[]

Predict shipment issues

POST

https://api.cosmocargo.space/ai/v1

/predict

Uses machine learning to predict potential issues with shipments including delays, damage risks, and route disruptions based on historical data and current space weather conditions.

Predict shipment issues › Request Body

shipmentIdstring · uuid · required

predictionTypesstring[]
Enum values:
DELAY
DAMAGE
ROUTE_DISRUPTION
COST_OVERRUN

Predict shipment issues › Responses

Predictions generated successfully

predictionsobject[]
overallRiskLevelstring · enum
Enum values:
LOW
MEDIUM
HIGH
CRITICAL

Analyze fleet performance

GET

https://api.cosmocargo.space/ai/v1

/analyze/fleet-performance

Provides AI-powered analytics on fleet performance including fuel efficiency, delivery times, and maintenance predictions.

Analyze fleet performance › query Parameters

timeRangestring · enum
Enum values:
7d
30d
90d
1y
Default: 30d
fleetIdstring

Analyze fleet performance › Responses

Fleet analysis completed

overallScorenumber · float · min: 0 · max: 100
insightsobject[]

Quantum Transport

Universal MCP endpoint

MCP Endpoint

Copy the url to connect any MCP-compatible AI tool

https://api.cosmocargo.space/ai/v1/mcp

AI Tool Configuration

Choose your AI tool and copy the configuration to get started.

Open Claude Desktop and click Settings in the lower corner
Navigate to Developer tab → Edit Config

Add this configuration to claude_desktop_config.json:

claude_desktop_config.json

{
  "mcpServers": {
    "Cosmo Cargo AI": {
      "command": "npx",
      "args": [
        "mcp-remote",
        "https://api.cosmocargo.space/ai/v1/mcp"
      ]
    }
  }
}

Save the file and restart Claude Desktop. Look for the 🔨 icon in the bottom-right corner.

macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
Windows: %APPDATA%\Claude\claude_desktop_config.json

View official docs

Optimize cargo routing

POST

https://api.cosmocargo.space/ai/v1

/optimize

Uses advanced AI algorithms to find the optimal route for cargo shipments across the solar system, considering factors like transit time, cost, and special cargo requirements.

Optimize cargo routing › Request Body

originstring · required
Origin space station or planet
Example: Earth Station Alpha
destinationstring · required
Destination space station or planet
Example: Mars Colony Beta
cargoobject[] · required

constraintsobject

Optimize cargo routing › Responses

Optimization completed successfully

recommendedRouteobject
estimatedCostnumber · float
Cost in Galactic Credits
estimatedTimeinteger
Transit time in Earth days
confidenceScorenumber · float · min: 0 · max: 1
alternativeRoutesobject[]

Predict shipment issues

POST

https://api.cosmocargo.space/ai/v1

/predict

Uses machine learning to predict potential issues with shipments including delays, damage risks, and route disruptions based on historical data and current space weather conditions.

Predict shipment issues › Request Body

shipmentIdstring · uuid · required

predictionTypesstring[]
Enum values:
DELAY
DAMAGE
ROUTE_DISRUPTION
COST_OVERRUN

Predict shipment issues › Responses

Predictions generated successfully

predictionsobject[]
overallRiskLevelstring · enum
Enum values:
LOW
MEDIUM
HIGH
CRITICAL

Analyze fleet performance

GET

https://api.cosmocargo.space/ai/v1

/analyze/fleet-performance

Provides AI-powered analytics on fleet performance including fuel efficiency, delivery times, and maintenance predictions.

Analyze fleet performance › query Parameters

timeRangestring · enum
Enum values:
7d
30d
90d
1y
Default: 30d
fleetIdstring

Analyze fleet performance › Responses

Fleet analysis completed

overallScorenumber · float · min: 0 · max: 100
insightsobject[]