- 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.
- 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.
- 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.
- 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.
- hypokrates @bruno-portfolio/hypokratesPharmacovigilance hypothesis generation from 15 public drug safety databases5% chance this is malicious. Assessed by AI, which can make mistakes.Runs on your machine, installed from PyPI.
- Pharma Signal @niteowlpt/pharma-signal-apiDrug safety intelligence: 358 drugs, 1M+ FDA adverse events, PV signal detection.7% 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: 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.
- Number 2: 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.
- Number 3: 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.
