CTPP FAQs

Question 1

What is CTPP and what kind of data does it provide?

Accepted Answer

CTPP is an MCP server that integrates Census Transportation Planning Products (CTPP) API data into AI clients. It provides detailed commuting patterns and journey-to-work statistics, including residence, workplace, and origin-destination flow data, across various geographic levels and dataset vintages (2000, 2010, 2016, 2021).

Question 2

How does CTPP integrate with AI clients and other tools?

Accepted Answer

CTPP functions as an MCP (Model Context Protocol) server, enabling MCP-compatible AI clients (like Claude or Cursor) to directly access and query CTPP data using natural language. It also offers tools to export any data query as a self-contained R or Python script for reproducible analysis outside the AI environment.

Question 3

What key features does CTPP offer for data access and analysis?

Accepted Answer

CTPP allows users to access detailed CTPP dataset vintages, browse and search for variables within CTPP tables, fetch statistical data with geographical and variable filters, resolve place names to FIPS codes via fuzzy matching, and export queries as executable R or Python scripts for reproducibility.

Question 4

Does CTPP require a database for its functionality?

Accepted Answer

No, CTPP does not require a database. It performs geography lookups in-memory from a bundled dataset and queries all CTPP statistical data directly from the official CTPP REST API.

Question 5

What are the prerequisites to use CTPP?

Accepted Answer

To use CTPP, you need Node.js 18+ and a CTPP API key, which can be requested from ctppdata.transportation.org. Once set up, you configure your MCP client to connect to the CTPP server.

CTPP

CTPP

소개

주요 기능

사용 사례

소개

주요 기능

사용 사례