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CDC PLACES

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CDC PLACES chronic disease prevalence estimates at county, place, census tract, and ZCTA levels. 36 health measures including diabetes, obesity, asthma, heart disease, smoking, and health insurance coverage via the Socrata SODA API.

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https://mcp.mcpbundles.com/bundle/cdc-places

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Live probe refreshed Sep 14, 2026 · Endpoint host mcp.mcpbundles.com

AI Skill
SKILL.md

Domain knowledge for CDC PLACES — workflow patterns, data models, and gotchas for your AI agent.

CDC PLACES

CDC PLACES provides chronic disease prevalence estimates at county, place, census tract, and ZCTA levels. 36 health measures including diabetes, obesity, asthma, heart disease, smoking, physical inactivity, sleep deprivation, and health insurance coverage. Data from BRFSS surveys + small area estimation. Socrata SODA API with $where, $select, $limit, $offset, $order parameters. Dataset IDs: swc5-untb (county), cwsq-ngmh (place), 373s-ayzu (census tract).

Data Model

  • Measures — 36 chronic disease indicators: DIABETES, OBESITY, CSMOKING, BPHIGH, CHD, STROKE, COPD, CASTHMA, ARTHRITIS, KIDNEY, DEPRESSION, CHECKUP, DENTAL, SLEEP, LPA, BINGE, ACCESS2.
  • Data values — prevalence as percentage (e.g. 12.5%), with confidence intervals (low/high).
  • Geography — county (FIPS), place (census-designated), census tract, ZCTA (ZIP code tabulation area).
  • Year — data release year (model-based estimates, not real-time).

Query Syntax (Socrata SODA)

  • $where — SQL-like filter (e.g. stateabbr='CA' AND measure='DIABETES').
  • $select — choose columns (e.g. locationname,data_value,measure).
  • $limit — max rows (default 1000, max 50000).
  • $offset — pagination offset.
  • $order — sort expression (e.g. data_value DESC).

Gotchas

  • No auth: Public Socrata API, no key needed (but app tokens increase rate limits).
  • Dataset IDs differ by geography level: county=swc5-untb, place=cwsq-ngmh, tract=373s-ayzu.
  • Default limit: 1000 rows; explicitly set $limit for larger result sets.
  • Measure names: Use uppercase short codes (DIABETES, OBESITY, not full descriptions).

Tools discovered (1)

  • Cdc Places Get Data

    Get chronic disease prevalence data from CDC PLACES. Query by geography level (county, place, census_tract, zcta), state, and health measure (e.g. DIABETES, OBESITY, BPHIGH, CSMOKING). Returns prevalence percentages with confidence intervals. Covers 36 health measures across all US geographies.

Frequently Asked Questions

What is the CDC PLACES MCP server?

CDC PLACES chronic disease prevalence estimates at county, place, census tract, and ZCTA levels. 36 health measures including diabetes, obesity, asthma, heart disease, smoking, and health insurance coverage via the Socrata SODA API. It provides 1 tools that AI agents can use through the Model Context Protocol (MCP).

How do I connect CDC PLACES to my AI agent?

Add the MCPBundles server URL to your MCP client configuration (Claude Desktop, Cursor, VS Code, etc.). The URL format is: https://mcp.mcpbundles.com/bundle/cdc-places. Authentication is handled automatically.

How many tools does CDC PLACES provide?

CDC PLACES provides 1 tool that can be called by AI agents, along with a SKILL.md that gives your AI agent domain knowledge about when and how to use them.

What authentication does CDC PLACES require?

CDC PLACES uses open data APIs — no authentication required.

Setup Instructions

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