- UNICEF Stats MCP @jpazvd/unicefstats-mcpUNICEF child development statistics: 790+ indicators, 200+ countries, SDMX-sourced. No API key.4% chance this is malicious. Assessed by AI, which can make mistakes.Runs on your machine, installed from PyPI.7 GitHub stars.
- cdc-health-mcp-server @cyanheads/cdc-health-mcp-serverSearch and query CDC public health data — mortality, vaccinations, surveillance, behavioral risk.2% chance this is malicious. Assessed by AI, which can make mistakes.A remote server; no sign-in.5 GitHub stars.
- France Data @cturkieh/france-data-mcpFrench public-data MCP: cross-ref health, demographics, business, geo & real-estate.2% chance this is malicious. Assessed by AI, which can make mistakes.A remote server; no sign-in.3 GitHub stars.
- who-gho-mcp-server @cyanheads/who-gho-mcp-serverWHO Global Health Observatory — 3,059 indicators across 194 member states.2% chance this is malicious. Assessed by AI, which can make mistakes.A remote server; no sign-in.2 GitHub stars.
- Health Statistics @contentwriterco/health-statisticsHealth statistics for AI agents: life expectancy, causes of death, health spending, WHO data.3% chance this is malicious. Assessed by AI, which can make mistakes.A remote server; no sign-in.
- NHANES (design-correct survey analysis) @blackswancausallabs/nhanes-mcpDesign-correct NHANES analysis: survey weights, pooled cycles, CIs and NCHS reliability flags.2% chance this is malicious. Assessed by AI, which can make mistakes.Runs on your machine, installed from PyPI.
- Openfda @mrfentmen/openfda-mcpFDA open data: drug recalls, adverse events, and approved drugs.5% chance this is malicious. Assessed by AI, which can make mistakes.Runs on your machine, installed from npm.
- Nigeria UN SDG @braynexservices/nigeria-un-sdgNigeria UN SDG indicators (poverty, mortality, energy/water access, education). Keyless.4% chance this is malicious. Assessed by AI, which can make mistakes.Runs on your machine, installed from npm.
- AIHW @ausdata/aihw-mcpQuery the AIHW in plain English — mortality, cancer, health spend, hospital wait times.3% chance this is malicious. Assessed by AI, which can make mistakes.Runs on your machine, installed from PyPI.
- Saudeemdado @pedropaulofernandes88-stack/saudeemdadoSaúde do Brasil (DataSUS + IBGE) consultável por IA — mortalidade, dengue e internações SUS5% chance this is malicious. Assessed by AI, which can make mistakes.Runs on your machine, installed from PyPI.
- Cdc @pipeworx-io/cdcCDC MCP — wraps CDC open data via Socrata API (data.cdc.gov)5% chance this is malicious. Assessed by AI, which can make mistakes.A remote server; no sign-in.
- BAG Health @malkreide/bag-health-mcpBAG public-health open data: indicators, programmes, statistics4% chance this is malicious. Assessed by AI, which can make mistakes.Runs on your machine, installed from PyPI.
- Swiss Food Safety @malkreide/swiss-food-safety-mcpBLV open data for food safety and veterinary inspections3% chance this is malicious. Assessed by AI, which can make mistakes.Runs on your machine, installed from PyPI.
- Kenya health @gabrielmahia/kenya-health-mcpMCP server for Kenya health data: SHIF contributions (NHIF's successor), a small facility sample, ma5% chance this is malicious. Assessed by AI, which can make mistakes.Runs on your machine, installed from PyPI.
- Swahili Health @gabrielmahia/swahili-health-mcpKenya county health indicators (maternal care, immunization, stunting) from the Kenya DHS 20224% chance this is malicious. Assessed by AI, which can make mistakes.Runs on your machine, installed from PyPI.
- Disease @pipeworx-io/diseaseDisease MCP — wraps disease.sh API (COVID-19 statistics, no auth required)6% chance this is malicious. Assessed by AI, which can make mistakes.A remote server; no sign-in.
- Japan Regional Influenza Records @mk-career-planning/jp-flu-regionalHow much influenza is this Japanese prefecture reporting this week? Hosted, recorded daily.Not assessed yet.A remote server; no sign-in.
- Korea Drug & Medical Device Recalls (MFDS 회수·판매중지) @kr-data-api/korea-health-recallsRecent drug and medical device recalls in South Korea (MFDS): product, company, reason, dateNot assessed yet.A remote server; it needs your API key.
- Gera Indices @gera/mcp-gera-indicesDiscover, resolve & cite Gera named UK NHS/OGL public-data indices with real source provenance.5% chance this is malicious. Assessed by AI, which can make mistakes.Runs on your machine, installed from npm.
- Clinical Fda @sercanmetalore/clinical-fda-mcpopenFDA ilaç geri çağırma kayıtları + ClinicalTrials.gov klinik deney arama, ABD federal açık…8% chance this is malicious. Assessed by AI, which can make mistakes.A remote server; no sign-in.
- CDC Data @mrfentmen/cdc-data-mcpCDC public data APIs: open datasets via Socrata endpoints.4% chance this is malicious. Assessed by AI, which can make mistakes.Runs on your machine, installed from npm.
Public health MCP servers
A server here disease surveillance or public health statistics.
Not here: personal health.
72 remote30 localTagged by Odel's AI, which can make mistakes
Most popular in Public health
By GitHub stars, at most two per publisher- Number 1: Medical Terminologies MCP@sidneybissoli/medical-terminologies-mcpDiagnoses, drugs & lab codes: ICD-11, LOINC, RxNorm, MeSH, ATC, CID-10. 33 tools, MIT.2% chance this is malicious. Assessed by AI, which can make mistakes.A remote server; no sign-in.15 GitHub stars.
- Number 2: IBGE Brasil MCP@sidneybissoli/ibge-br-mcpIBGE: geography, census, economy and health from the official APIs, with provenance. 23 tools.2% chance this is malicious. Assessed by AI, which can make mistakes.A remote server; no sign-in.12 GitHub stars.
- Number 3: Worldbank@tianyuio/worldbank-mcpWorld Bank Open Data MCP Server4% chance this is malicious. Assessed by AI, which can make mistakes.Runs on your machine, installed from npm.8 GitHub stars.
