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
010 GitHub stars
02Resolve place names to FIPS codes via fuzzy matching
03Fetch statistical data using geography and variable filters
04Retrieve variable names (estimates + MOE) for specific tables
05Browse and search CTPP tables for specific years
06List available CTPP dataset vintages (years)
07Determine available geography levels for CTPP data