Enterprise geolocation and routing
## NextBillion.ai MCP Server: Enterprise Location Intelligence The **NextBillion.ai MCP Server** integrates enterprise-grade mapping and location APIs directly into Google Antigravity, enabling AI assistants to access customizable routing, geocoding, and spatial analysis designed for high-scale operations. This integration provides the flexibility and cost-efficiency needed for logistics-heavy applications at scale. ### Why NextBillion.ai MCP? - **Enterprise Scale**: Handle millions of API requests with infrastructure designed for high-volume logistics operations - **Custom Road Networks**: Incorporate private roads, facility maps, and custom routing constraints specific to your operations - **Flexible Routing**: Configure vehicle-specific routing with dimensions, weight limits, and hazmat restrictions - **Cost Efficiency**: Significant cost savings compared to legacy mapping providers at enterprise volumes - **On-Premise Options**: Deploy on your infrastructure for data sovereignty and latency-sensitive applications ### Key Features #### 1. Fleet Routing ```python from anthropic import Anthropic client = Anthropic() response = client.messages.create( model="claude-sonnet-4-20250514", max_tokens=1024, messages=[{ "role": "user", "content": "Calculate routes for our fleet of 10 trucks with weight and height restrictions to 50 delivery points" }], tools=[{ "name": "nextbillion_route", "description": "Enterprise fleet routing" }] ) ``` #### 2. Geocoding Services ```python # Batch geocoding for logistics response = client.messages.create( model="claude-sonnet-4-20250514", max_tokens=1024, messages=[{ "role": "user", "content": "Geocode these 500 delivery addresses and validate accessibility for our trucks" }], tools=[{"name": "nextbillion_geocode", "description": "Batch geocoding operations"}] ) ``` #### 3. Distance Matrix ```python # Large-scale distance calculations response = client.messages.create( model="claude-sonnet-4-20250514", max_tokens=1024, messages=[{ "role": "user", "content": "Calculate distance matrix between 100 origins and 1000 destinations for assignment optimization" }], tools=[{"name": "nextbillion_matrix", "description": "Large-scale distance matrices"}] ) ``` #### 4. Custom Road Networks ```python # Configure private roads response = client.messages.create( model="claude-sonnet-4-20250514", max_tokens=1024, messages=[{ "role": "user", "content": "Add our warehouse private road network to routing calculations" }], tools=[{"name": "nextbillion_custom_roads", "description": "Manage custom road networks"}] ) ``` ### Configuration ```json { "mcpServers": { "nextbillion": { "command": "npx", "args": ["-y", "@anthropic/mcp-nextbillion"], "env": { "NEXTBILLION_API_KEY": "your-nextbillion-api-key" } } } } ``` ### Use Cases **Last-Mile Delivery**: Optimize delivery routes at scale with vehicle-specific constraints and real-time traffic integration. **Supply Chain Logistics**: Plan long-haul trucking routes with weight stations, fuel stops, and driver hours compliance. **Field Service Operations**: Route service technicians efficiently with appointment windows and skill-based assignment. **Ride-Hailing Platforms**: Match drivers to riders and calculate ETAs at scale with sub-second response times. The NextBillion.ai MCP Server delivers enterprise-grade location intelligence optimized for the demanding requirements of logistics and delivery operations.
{
"mcpServers": {
"nextbillion": {
"mcpServers": {
"nextbillion": {
"env": {
"NBAI_API_KEY": "YOUR_API_KEY"
},
"args": [
"-y",
"nextbillion-mcp-server"
],
"command": "npx"
}
}
}
}
}