Endpoints: 28,729MCP servers: 18,413Payout addresses: 2,070Paid calls: 1,530Letters: 13Defects: 1,322counted 1 min ago
teppi

MCP servercom.olyport/cdc-wonder

Leading causes of death, mortality rates, infant mortality, and drug overdose data
UNRATEDActivestreamable-httpmcp.olyport.com

Overview

Score?
UNRATED 0.732
of what a free look can see, on 31 looks
Looks
36
last 3 hr ago
Tools
5

More info

URL
mcp.olyport.com/cdc-wonder/mcp
streamable-http
Says it is
cdc-wonder 1.26.0
protocol 2025-06-18
In the record since
32 days ago

Among servers18,413 with a card

0median 0.606 · this server 0.732 · highest on record 0.8561

Toolsfrom sha256:5832119376…e221e4

The tools this server lists, read out of the definition it returned
ToolSchema
get_drug_overdose_deaths
Get provisional drug overdose death data by state. Returns provisional counts and rates of drug overdose deaths from the National Vital Statistics System (NVSS). Includes
input · output
get_infant_mortality
Get infant mortality rates by state and race/ethnicity. Returns infant mortality data including rates per 1,000 live births, broken down by state and race/ethnicity. Infan
input · output
get_leading_causes_of_death
Get leading causes of death with death counts and age-adjusted rates. Returns data from the NCHS Leading Causes of Death dataset, which provides national and state-level m
input · output
get_mortality_by_state
Compare mortality rates across states for a specific cause or all causes. Returns age-adjusted death rates by state, useful for comparing mortality burdens across geograph
input · output
get_provisional_mortality
Get most recent provisional mortality data including COVID and other causes. Returns provisional death counts from the NVSS, covering major cause groups including COVID-19
input · output
Verify it yourselfnpx teppi-check https://mcp.olyport.com/cdc-wonder/mcpcurl -s https://api.teppi.xyz/v1/trust/mcp/mcs_01M1FZ2848C3HKBF425SK4TQKD