CDC MCP Server

CDC MCP Server

Provides access to 73 CDC public health datasets covering disease surveillance, vaccination tracking, behavioral risk factors, environmental health, and outbreak detection across 18 surveillance systems through the Socrata Open Data API.

Category
访问服务器

README

Unofficial CDC MCP Server

A comprehensive MCP (Model Context Protocol) server providing access to CDC (Centers for Disease Control and Prevention) public health data through the Socrata Open Data API (SODA).

Total Datasets: 73 (no authentication required) Surveillance Systems: 18 different CDC programs Health Measures: 100+ indicators across chronic disease, behavioral risk, environmental health, outbreak detection, vaccination, and drug overdose

Features

  • TypeScript Implementation: Built with @modelcontextprotocol/sdk
  • Comprehensive Coverage: 73 public datasets across 18 surveillance systems
  • Unified Interface: Single tool with 18 specialized methods
  • Real-Time Surveillance: NNDSS outbreak detection for 50+ notifiable diseases
  • COVID-19 Vaccination: County-level tracking with equity metrics (SVI, urban/rural)
  • Drug Overdose Crisis: Real-time monitoring with drug-specific tracking (fentanyl, opioids)
  • Rate Limiting: Built-in rate limiting (500ms delay) to respect API quotas
  • App Token Support: Enhanced rate limits (1,000 requests/hour) with valid app token
  • Flexible Querying: Support for filtering, pagination, and custom SoQL queries
  • 100% Public Data: All datasets accessible without authentication

Available Data Sources

Dataset Coverage (73 Total)

Category Datasets Key Features
PLACES 5 County, place, tract, ZCTA (40+ health measures)
BRFSS 7 Comprehensive 2011-present + historical 1995-2010
YRBSS 2 Youth health surveillance (substance use, mental health)
Respiratory 2 Combined RSV/COVID/Flu + RSV-specific
Vaccination 5 Teen, pregnant, kindergarten, flu all ages, RSV
Vital Statistics 5 Birth, death, maternal, infant statistics
Environmental 2 Air quality, water fluoridation
Tobacco 6 Economic impact + 5 policy types
Injury 2 TBI surveillance, alcohol-impaired driving
Infectious Disease 2 Pneumococcal, foodborne/waterborne
Maternal-Child 3 Breastfeeding, PRAMS, birth statistics
Oral/Vision 2 NOHSS oral health, BRFSS vision
Nutrition 3 Behavioral, policy, youth-specific
Disease-Specific 4 Heart disease, diabetes, cancer, COVID
Historical 1 Pre-ACA health care access (1995-2010)
NNDSS 14 Real-time outbreak detection (50+ notifiable diseases)
COVID-19 Vaccination 4 County-level tracking with equity metrics
Drug Overdose 6 Provisional + finalized overdose data by drug type

Usage

{
  "mcpServers": {
    "cdc-mcp-server": {
      "command": "node",
      "args": ["/path/to/cdc-mcp-server/build/index.js"],
      "env": {
        "CDC_APP_TOKEN": "your_app_token_here"
      }
    }
  }
}

Note: The CDC_APP_TOKEN environment variable is optional but recommended for enhanced rate limits (1,000 req/hour vs shared pool).

MCP Methods

Core Methods (5)

1. list_datasets

List all 53 available CDC datasets.

{
  "method": "list_datasets"
}

2. get_places_data

Get PLACES local disease prevalence data (40+ health measures).

Parameters:

  • geography_level: "county", "place", "tract", "zcta" (default: "county")
  • year: "2023", "2024" (default: "2024")
  • state: State abbreviation (e.g., "CA", "TX")
  • measure_id: Disease measure (e.g., "DIABETES", "OBESITY", "CHD")
  • location: Specific location name
  • limit: Max results (default: 100)
  • offset: Pagination offset (default: 0)

Example:

{
  "method": "get_places_data",
  "geography_level": "county",
  "year": "2024",
  "state": "CA",
  "measure_id": "DIABETES"
}

3. get_brfss_data

Get BRFSS behavioral risk factor data.

Parameters:

  • dataset_type: "obesity_national", "obesity_state", "diabetes", "asthma"
  • year: Specific year
  • state: State abbreviation
  • limit, offset: Pagination

Example:

{
  "method": "get_brfss_data",
  "dataset_type": "diabetes",
  "year": 2023,
  "state": "NY"
}

4. search_dataset

Generic search across any CDC dataset with custom SoQL queries.

Parameters:

  • dataset_name: Dataset identifier (required)
  • select_fields: Fields to return
  • where_clause: SoQL WHERE clause
  • order_by: Sort field
  • limit, offset: Pagination

Example:

{
  "method": "search_dataset",
  "dataset_name": "breastfeeding_nis",
  "where_clause": "state='Texas'",
  "limit": 100
}

5. get_available_measures

List all available measures for a specific dataset.

Example:

{
  "method": "get_available_measures",
  "dataset_name": "places_county_2024"
}

Tier 1 Methods: High-Priority Health Surveillance (7)

6. get_yrbss_data

Youth Risk Behavior Surveillance (substance use, mental health, violence).

Parameters:

  • state: State abbreviation
  • topic: "substance_use", "mental_health", "violence", "sexual_behaviors", "nutrition", "physical_activity"
  • year: Survey year
  • limit, offset: Pagination

Example:

{
  "method": "get_yrbss_data",
  "state": "CA",
  "topic": "mental_health",
  "year": 2023
}

7. get_respiratory_surveillance

Combined RSV/COVID-19/Flu hospitalization surveillance.

Parameters:

  • virus: "rsv", "covid", "flu", "combined" (default: "combined")
  • state: Jurisdiction
  • year: Year filter
  • limit, offset: Pagination

Example:

{
  "method": "get_respiratory_surveillance",
  "virus": "rsv",
  "state": "NY",
  "year": 2024
}

8. get_vaccination_coverage

Vaccination rates by age group.

Parameters:

  • age_group: "teen", "pregnant", "kindergarten" (required)
  • state: State abbreviation
  • vaccine_type: "hpv", "tdap", "menacwy", "flu"
  • year: Survey year
  • limit, offset: Pagination

Example:

{
  "method": "get_vaccination_coverage",
  "age_group": "teen",
  "state": "TX",
  "vaccine_type": "hpv",
  "year": 2023
}

9. get_birth_statistics

Birth rates and birth outcome indicators.

Parameters:

  • indicator: "birth_rate", "preterm", "cesarean", "low_birth_weight"
  • state: Jurisdiction
  • year: Year filter
  • limit, offset: Pagination

Example:

{
  "method": "get_birth_statistics",
  "indicator": "preterm",
  "state": "CA",
  "year": 2024
}

10. get_environmental_health

Air quality measures with health tracking.

Parameters:

  • pollutant: "pm25", "ozone", "combined" (default: "combined")
  • state: State filter
  • county: County name
  • year: Year filter
  • limit, offset: Pagination

Example:

{
  "method": "get_environmental_health",
  "pollutant": "pm25",
  "county": "Los Angeles",
  "year": 2023
}

11. get_tobacco_impact

Smoking-attributable mortality, morbidity, and economic costs.

Parameters:

  • impact_type: "mortality", "morbidity", "economic_cost"
  • state: State abbreviation
  • year: Year filter
  • limit, offset: Pagination

Example:

{
  "method": "get_tobacco_impact",
  "impact_type": "economic_cost",
  "state": "OH",
  "year": 2022
}

12. get_oral_vision_health

Oral and vision health surveillance.

Parameters:

  • health_domain: "oral", "vision" (required)
  • state: State abbreviation
  • year: Year filter
  • limit, offset: Pagination

Example:

{
  "method": "get_oral_vision_health",
  "health_domain": "oral",
  "state": "FL",
  "year": 2023
}

Tier 2 Methods: Policy-Relevant & Niche Specializations (3)

13. get_injury_surveillance

TBI surveillance - emergency visits, hospitalizations, deaths by mechanism.

Parameters:

  • injury_type: "tbi", "motor_vehicle", "all" (default: "tbi")
  • state: State abbreviation
  • mechanism: "fall", "motor_vehicle", "assault", "sports", "all"
  • year: Year filter
  • limit, offset: Pagination

Example:

{
  "method": "get_injury_surveillance",
  "injury_type": "tbi",
  "mechanism": "fall",
  "state": "FL",
  "year": 2022
}

14. get_tobacco_policy

Tobacco control policy tracking (5 policy types supported).

Parameters:

  • policy_type: "smokefree_air", "medicaid_cessation", "licensure", "tax", "ecigarette" (required)
  • state: State abbreviation
  • venue: "workplace", "restaurant", "bar", "government", "school", "all" (for smokefree_air only)
  • year: Year filter
  • limit, offset: Pagination

Examples:

Smokefree air legislation:

{
  "method": "get_tobacco_policy",
  "policy_type": "smokefree_air",
  "venue": "restaurant",
  "state": "CA"
}

Tobacco tax legislation:

{
  "method": "get_tobacco_policy",
  "policy_type": "tax",
  "state": "NY",
  "year": 2023
}

E-cigarette regulation:

{
  "method": "get_tobacco_policy",
  "policy_type": "ecigarette",
  "state": "MA"
}

15. get_infectious_disease

Infectious disease surveillance (pneumococcal, foodborne, waterborne).

Parameters:

  • disease: "pneumococcal", "foodborne", "waterborne" (required)
  • state: State abbreviation
  • serotype: Pneumococcal serotype filter (e.g., "19A", "3")
  • pathogen: Pathogen name for foodborne/waterborne (e.g., "Salmonella", "E. coli")
  • year: Year filter
  • limit, offset: Pagination

Examples:

Pneumococcal disease by serotype:

{
  "method": "get_infectious_disease",
  "disease": "pneumococcal",
  "serotype": "19A",
  "year": 2023
}

Foodborne outbreaks:

{
  "method": "get_infectious_disease",
  "disease": "foodborne",
  "pathogen": "Salmonella",
  "state": "TX"
}

Phase 4 Methods: Critical Surveillance Gaps (3)

16. get_nndss_surveillance

National Notifiable Diseases Surveillance System - real-time outbreak detection for 50+ diseases.

Parameters:

  • nndss_disease: "arboviral", "hepatitis", "tuberculosis", "rubella", "pertussis", "haemophilus", "qfever", "botulism", "all" (default: "all")
  • year: Year filter (for historical TB data: 2014-2019)
  • state: State abbreviation
  • limit, offset: Pagination

Examples:

Arboviral disease surveillance:

{
  "method": "get_nndss_surveillance",
  "nndss_disease": "arboviral",
  "state": "FL",
  "year": "2024"
}

Historical tuberculosis data:

{
  "method": "get_nndss_surveillance",
  "nndss_disease": "tuberculosis",
  "year": "2019",
  "state": "CA"
}

17. get_covid_vaccination

COVID-19 vaccination tracking with equity metrics.

Parameters:

  • vax_geography: "national", "state", "county" (default: "state")
  • state: State abbreviation
  • county: County name
  • equity_metrics: Include SVI and urban/rural classification (boolean)
  • limit, offset: Pagination

Examples:

State-level vaccination rates:

{
  "method": "get_covid_vaccination",
  "vax_geography": "state",
  "state": "TX"
}

County-level with equity metrics:

{
  "method": "get_covid_vaccination",
  "vax_geography": "county",
  "state": "NY",
  "county": "New York",
  "equity_metrics": true
}

18. get_overdose_surveillance

Drug overdose crisis monitoring with drug-specific tracking.

Parameters:

  • overdose_geography: "national", "state", "county" (default: "state")
  • drug_type: "opioid", "fentanyl", "heroin", "cocaine", "methamphetamine", "all" (default: "all")
  • provisional: Use provisional data (true) or finalized (false) - default: true
  • state: State abbreviation
  • county: County name
  • limit, offset: Pagination

Examples:

Fentanyl overdoses by state:

{
  "method": "get_overdose_surveillance",
  "overdose_geography": "state",
  "drug_type": "fentanyl",
  "state": "OH",
  "provisional": true
}

County-level opioid deaths:

{
  "method": "get_overdose_surveillance",
  "overdose_geography": "county",
  "drug_type": "opioid",
  "county": "Alameda",
  "state": "CA"
}

All overdoses (finalized data):

{
  "method": "get_overdose_surveillance",
  "overdose_geography": "national",
  "drug_type": "all",
  "provisional": false
}

Common PLACES Measure IDs

Chronic Diseases

  • DIABETES: Diagnosed diabetes
  • OBESITY: Adult obesity (BMI ≥30)
  • CHD: Coronary heart disease
  • COPD: Chronic obstructive pulmonary disease
  • ASTHMA: Current asthma
  • STROKE: Stroke
  • BPHIGH: High blood pressure
  • CANCER: Cancer (excluding skin cancer)
  • KIDNEY: Chronic kidney disease
  • ARTHRITIS: Arthritis

Mental Health

  • DEPRESSION: Depression
  • MHLTH: Mental health not good for ≥14 days

Prevention

  • DENTAL: Annual dental visit
  • ACCESS2: Lack of health insurance (adults <65)
  • CHECKUP: No annual checkup
  • CHOLSCREEN: Cholesterol screening
  • CERVICAL: Cervical cancer screening
  • COLON_SCREEN: Colorectal cancer screening
  • MAMMOUSE: Mammography

Risk Factors

  • CSMOKING: Current smoking
  • BINGE: Binge drinking
  • LPA: No leisure-time physical activity
  • SLEEP: Sleep <7 hours

Dataset Reference

Complete Dataset List (73)

<details> <summary>Click to expand full dataset list</summary>

PLACES (5 datasets):

  • places_county_2024 - County-level 2024
  • places_county_2023 - County-level 2023
  • places_place_2024 - City/town-level 2024
  • places_tract_2024 - Census tract-level 2024
  • places_zcta_2024 - ZIP code-level 2024

BRFSS (7 datasets):

  • brfss_comprehensive - 2011-present (30+ measures)
  • brfss_obesity_national - National obesity trends
  • brfss_obesity_state - State obesity prevalence
  • brfss_diabetes - Diabetes prevalence
  • brfss_asthma - Asthma prevalence
  • brfss_smart_county - Metropolitan county-level
  • brfss_healthcare_access_historical - 1995-2010

Youth Health (2 datasets):

  • yrbss_high_school - Youth risk behaviors
  • youth_nutrition_activity - Youth nutrition/activity

Respiratory (2 datasets):

  • respiratory_combined - RSV/COVID/Flu combined
  • rsv_hospitalizations - RSV-specific

Vaccination (5 datasets):

  • teen_vaccinations - HPV, Tdap, MenACWY
  • flu_vaccination_coverage - All ages 6+ months
  • pregnant_vaccinations - Flu, Tdap during pregnancy
  • kindergarten_vaccinations - School entry rates

Vital Statistics (5 datasets):

  • vsrr_birth_quarterly - Birth indicators
  • birth_rates_age - Age-specific fertility
  • vsrr_quarterly_mortality - Mortality estimates
  • vsrr_maternal_mortality - Maternal deaths
  • vsrr_infant_mortality - Infant mortality

Environmental (2 datasets):

  • air_quality_tracking - PM2.5, ozone
  • water_fluoridation - Fluoridation statistics

Tobacco (6 datasets):

  • sammec_smoking_impact - Economic costs
  • smokefree_air_legislation - Smokefree laws
  • medicaid_cessation_coverage - Cessation coverage
  • tobacco_licensure - Retailer licensure
  • tobacco_tax - Tax legislation
  • ecigarette_legislation - E-cigarette regulation

Injury (2 datasets):

  • tbi_surveillance - TBI surveillance
  • alcohol_impaired_driving - Drunk driving deaths

Infectious Disease (2 datasets):

  • pneumococcal_disease - 25-year serotype data
  • foodborne_outbreaks - Foodborne/waterborne

Maternal-Child (3 datasets):

  • breastfeeding_nis - Breastfeeding rates
  • pramstat_2009 - PRAMS 2009

Oral/Vision (2 datasets):

  • oral_health_indicators - NOHSS
  • vision_health - BRFSS vision module

Nutrition (3 datasets):

  • nutrition_obesity - Behavioral
  • nutrition_policy_environmental - Policy/environmental
  • nutrition_commute_patterns - Commuting

Disease-Specific (4 datasets):

  • heart_disease_mortality - Heart disease
  • diabetes_indicators - Diabetes surveillance
  • cancer_incidence - Cancer statistics
  • covid_cases - COVID-19

Historical (1 dataset):

  • Already listed under BRFSS

NNDSS - National Notifiable Diseases Surveillance (14 datasets):

  • nndss_arboviral - Arboviral diseases (Zika, West Nile, etc.)
  • nndss_hepatitis - Viral hepatitis A, B, C
  • nndss_tuberculosis - Current TB surveillance
  • nndss_rubella - Rubella and congenital rubella
  • nndss_pertussis - Whooping cough surveillance
  • nndss_haemophilus - Haemophilus influenzae disease
  • nndss_qfever - Q fever surveillance
  • nndss_botulism - Botulism surveillance
  • nndss_tb_2019 - Historical TB 2019
  • nndss_tb_2018 - Historical TB 2018
  • nndss_tb_2017 - Historical TB 2017
  • nndss_tb_2016 - Historical TB 2016
  • nndss_tb_2015 - Historical TB 2015
  • nndss_tb_2014 - Historical TB 2014

COVID-19 Vaccination (4 datasets):

  • covid_vax_jurisdiction - State/territory vaccination rates
  • covid_vax_county - County-level vaccination coverage
  • covid_vax_respiratory_weekly - Weekly respiratory virus vaccination
  • covid_vax_age_trends - Age-stratified vaccination trends

Drug Overdose Surveillance (6 datasets):

  • overdose_provisional_state - Provisional state-level overdose deaths
  • overdose_county - County-level overdose mortality
  • overdose_by_drug - Drug-specific overdose deaths
  • overdose_demographics - Demographic-stratified overdose data
  • overdose_nowcast - Lag-adjusted overdose estimates
  • nchs_injury_mortality - Comprehensive injury mortality data

</details>

Rate Limiting

The server implements conservative rate limiting (500ms between requests):

  • Without app token: Shared pool (may be throttled)
  • With app token: 1,000 requests/hour

To increase limits, register for a free app token at https://data.cdc.gov/profile/app_tokens

Response Format

All methods return JSON with consistent structure:

{
  "dataset": "places_county_2024",
  "count": 58,
  "data": [
    {
      "year": "2022",
      "stateabbr": "CA",
      "locationname": "Los Angeles County",
      "measureid": "DIABETES",
      "data_value": "11.2",
      "data_value_unit": "%",
      "low_confidence_limit": "10.8",
      "high_confidence_limit": "11.6"
    }
  ]
}

SoQL Query Language

CDC datasets support Socrata Query Language (SoQL):

Common Parameters

  • $select: Choose specific fields
  • $where: Filter conditions
  • $order: Sort results
  • $limit: Max results
  • $offset: Pagination start

Example SoQL Clauses

Filtering:

stateabbr='CA' AND data_value>15.0
year>=2020 AND year<=2024
measureid IN ('DIABETES', 'OBESITY', 'CHD')

Sorting:

data_value DESC
year ASC, data_value DESC

Data Sources

All data comes from official CDC sources:

  • https://data.cdc.gov
  • https://chronicdata.cdc.gov

推荐服务器

Baidu Map

Baidu Map

百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。

官方
精选
JavaScript
Playwright MCP Server

Playwright MCP Server

一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。

官方
精选
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。

官方
精选
本地
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。

官方
精选
本地
TypeScript
VeyraX

VeyraX

一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。

官方
精选
本地
graphlit-mcp-server

graphlit-mcp-server

模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。

官方
精选
TypeScript
Kagi MCP Server

Kagi MCP Server

一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。

官方
精选
Python
e2b-mcp-server

e2b-mcp-server

使用 MCP 通过 e2b 运行代码。

官方
精选
Neon MCP Server

Neon MCP Server

用于与 Neon 管理 API 和数据库交互的 MCP 服务器

官方
精选
Exa MCP Server

Exa MCP Server

模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。

官方
精选