UrbanPlanner acts as the analytical engine for an AI-powered urban planning ecosystem. It serves as a crucial communication layer, exposing complex urban and environmental datasets as standardized, structured tools. This enables seamless access and utilization by AI components, such as LangChain–Gemini–LangGraph pipelines, for evaluating city infrastructure, demographic distributions, and social inequalities, connecting models, schemas, and prompt templates in a consistent and reusable manner.
Key Features
01MCP Server Integration for stateless and streaming tool execution
02Modular analytical tools for evaluating urban parameters
03Type-safe Pydantic schemas for data validation
04Custom prompt templates for LLM-based urban analysis
05Extensible architecture ready for new tools and models
060 GitHub stars
