# OSM Integration - Phase 1 Complete ✅
## What We Built
### 1. Complete Nominatim Client (Task 11) ✅
**Files Created:**
- `packages/mcp/src/services/osm/nominatim-client.ts` - Full geocoding client
- `packages/mcp/src/services/osm/cache.ts` - In-memory caching layer
- `packages/mcp/src/tools/osm/geocode.ts` - MCP tool wrappers
- `packages/shared/src/types/osm.ts` - TypeScript type definitions
**Features:**
- ✅ Address → Coordinates (geocoding)
- ✅ Coordinates → Address (reverse geocoding)
- ✅ Batch processing support
- ✅ Rate limiting (1 req/sec Nominatim compliance)
- ✅ In-memory caching (24hr TTL)
- ✅ International address support
### 2. Complete Overpass Client (Task 12) ✅
**Files Created:**
- `packages/mcp/src/services/osm/overpass-client.ts` - Feature search client
- `packages/mcp/src/tools/osm/search.ts` - MCP feature search tools
**Features:**
- ✅ Feature search by type (warehouses, solar farms, wind farms, buildings, highways)
- ✅ Bounding box search
- ✅ Radius-based search around points
- ✅ Overpass QL query builder
- ✅ Pagination support (up to 500 results)
- ✅ Caching for feature searches
### 3. MCP Tool Integration (Tasks 13-17) ✅
**Available MCP Tools:**
```typescript
// Geocoding
geocodeLocation({
address: "1600 Amphitheatre Parkway, Mountain View, CA",
limit: 5,
country: "us"
})
reverseGeocode({
latitude: 37.7749,
longitude: -122.4194
})
// Feature Search
findFeaturesByType({
featureType: "warehouse",
boundingBox: { north: 34, south: 33, east: -111, west: -112 },
limit: 100
})
findFeaturesNearby({
latitude: 33.4484,
longitude: -112.0740,
radiusKm: 25,
featureType: "solar_farm",
limit: 50
})
```
## Example Usage
### Conversational Workflow
```
User: "Find all warehouses in Phoenix, Arizona"
Claude (using your MCP):
1. geocodeLocation({ address: "Phoenix, Arizona" })
→ Returns: { lat: 33.4484, lon: -112.0740 }
2. findFeaturesNearby({
lat: 33.4484,
lon: -112.0740,
radiusKm: 25,
featureType: "warehouse"
})
→ Returns: 47 warehouses with coordinates
3. "I found 47 warehouses in Phoenix. Would you like satellite imagery for these locations?"
User: "Yes, get imagery for the top 10 by size"
Claude:
4. Sort warehouses by building area (from OSM tags)
5. For each of top 10:
- checkOrderFeasibility()
- getPricingEstimate()
6. Present pricing summary
7. placeOrder() for approved locations
```
## What's Next
### Phase 2: AI Intelligence (Tasks 18-19)
- Natural language query processing
- Bulk operations
- Workflow automation
### Phase 3: Advanced Features (Tasks 20-22)
- Change detection (OSM vs satellite imagery)
- Predictive analysis
- Automated reporting
## Project Structure
```
packages/
├── mcp/
│ └── src/
│ ├── services/
│ │ └── osm/
│ │ ├── nominatim-client.ts ✅
│ │ ├── overpass-client.ts ✅
│ │ ├── cache.ts ✅
│ │ └── index.ts
│ └── tools/
│ └── osm/
│ ├── geocode.ts ✅
│ ├── search.ts ✅
│ └── index.ts
└── shared/
└── src/
└── types/
└── osm.ts ✅
```
## Task Master Progress
- **Total Tasks**: 22
- **Completed**: 17 (77%)
- **In Progress**: 0
- **Pending**: 5 (AI features)
### Completed Tasks
- ✅ Task 11: Nominatim client integration
- ✅ Task 12: Overpass client implementation
- ✅ Task 13: Geocode location tool
- ✅ Task 14: Reverse geocode tool
- ✅ Task 15: Find features by type
- ✅ Task 16: Find features by query
- ✅ Task 17: Area analysis tool
### Remaining Tasks
- ⏳ Task 18: AI query processing
- ⏳ Task 19: Bulk operations
- ⏳ Task 20: Change detection
- ⏳ Task 21: Predictive analysis
- ⏳ Task 22: Automated reporting
## Testing
To test the new functionality:
```bash
# Build the shared package first
cd packages/shared
pnpm build
# Build the MCP package
cd ../mcp
pnpm build
# Test with Claude Desktop
# Update your .mcp.json to point to the new build
```
## API Rate Limits
- **Nominatim**: 1 request/second (enforced in code)
- **Overpass**: No strict limit, but be respectful
- **SkyFi**: As per your account limits
## Caching
- **Default TTL**: 24 hours
- **Storage**: In-memory (resets on server restart)
- **Future**: Can upgrade to Redis for persistent cache
## Notes
- All geocoding respects Nominatim usage policy
- Feature searches are cached to minimize API load
- Batch operations process sequentially to respect rate limits
- Ready for Claude Desktop integration immediately!
---
**Status**: Phase 1 Complete - Foundation Ready for AI Enhancement 🚀
**Next**: Integrate with your existing MCP server and test with Claude!