CTPP

About

The CTPP tool functions as an MCP (Model Context Protocol) server, designed to connect AI assistants like Claude Desktop or Claude Code with the comprehensive Census Transportation Planning Products (CTPP) API. This integration empowers AI to access and interpret granular commuting patterns, journey-to-work data, and various transportation statistics. Sourced from US Census ACS data by AASHTO, CTPP provides detailed insights at state, county, place, and tract levels, covering worker residence, workplace locations, and critical origin-destination commute pairs, making rich demographic and transportation data readily available for AI-powered analysis.

Key Features

• 0 GitHub stars
• Resolve place names to FIPS codes via fuzzy matching
• Fetch statistical data using geography and variable filters
• Retrieve variable names (estimates + MOE) for specific tables
• Browse and search CTPP tables for specific years
• List available CTPP dataset vintages (years)
• Determine available geography levels for CTPP data

Use Cases

• Querying commuting patterns for a specific region and year
• Analyzing journey-to-work data to understand origin-destination flows
• Integrating transportation statistics into AI assistants for demographic analysis and urban planning insights