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CDC Mortality (WONDER) MCP Server

answering

CDC Mortality (WONDER) is answering right now. Last checked 12 min ago. It exposes 5 tools.

Leading causes of death, mortality rates, infant mortality, and drug overdose data

Uptime history 47 days of history
47 days agonow
100.0%
Uptime 24h
91 of 91 checks
5
Tools
read from the server
544 ms
Response time
average over 24h
open, no key
Access
streamable-http

Nothing serious here today

Today is the operative word: we check CDC Mortality (WONDER) every 15 minutes and re-read its code on every release. Watch it and you find out the day that stops being true.

Three servers free · no card

Connect this server

Endpoint below is the one we actually reach during checks — not the one copied from a README. Last verified 12 min ago.

run in your terminal
claude mcp add cdc-wonder --transport http https://mcp.olyport.com/cdc-wonder/mcp
~/Library/Application Support/Claude/claude_desktop_config.json
{
  "mcpServers": {
    "cdc-wonder": {
      "url": "https://mcp.olyport.com/cdc-wonder/mcp"
    }
  }
}
~/.codex/config.toml
[mcp_servers.cdc-wonder]
url = "https://mcp.olyport.com/cdc-wonder/mcp"
.cursor/mcp.json
{
  "mcpServers": {
    "cdc-wonder": {
      "url": "https://mcp.olyport.com/cdc-wonder/mcp"
    }
  }
}
.vscode/mcp.json
{
  "mcpServers": {
    "cdc-wonder": {
      "url": "https://mcp.olyport.com/cdc-wonder/mcp"
    }
  }
}

Available tools 5

Read directly from the server with tools/list, grouped by what they act on. If a tool disappears, we record the date.

drug
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 data on opioid, synthetic opioid, and other drug-involved deaths. Updated monthly. Args: state: Filter by state name (e.g. 'West Virginia', 'Ohio'). Case-insensitive. Returns all states if not specified. year: Filter by year. Returns all available years if not specified. limit: Maximum number of records to return (default 25, max 1000).
infant
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. Infant mortality is a key indicator of community health status used in CHNAs. Args: state: Filter by state name (e.g. 'Ohio', 'Georgia'). Case-insensitive. Returns all states if not specified. year: Filter by year. Returns all available years if not specified.
leading
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 mortality statistics by cause of death, year, and age-adjusted death rate per 100,000 population. Data spans 1999-2017. Args: state: Filter by state name (e.g. 'California', 'Texas'). Case-insensitive. Returns all states if not specified. year: Filter by year (e.g. 2017). Returns all available years if not specified. limit: Maximum number of records to return (default 25, max 1000).
mortality
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 geographies. Data from NCHS Leading Causes of Death. Args: cause: Cause of death to filter by (e.g. 'Heart disease', 'Cancer', 'Unintentional injuries', 'Alzheimer\'s disease'). Partial match supported. Returns all causes if not specified. year: Filter by year (e.g. 2017). Defaults to most recent available year if not specified.
provisional
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, respiratory diseases, circulatory diseases, and more. Data is updated weekly and covers the most recent periods. Args: state: Filter by state/jurisdiction name (e.g. 'New York', 'Florida'). Case-insensitive. Returns all jurisdictions if not specified. cause_group: Filter by cause group (e.g. 'COVID-19', 'Respiratory', 'Circulatory', 'Malignant neoplasms'). Partial match supported. Returns all cause groups if not specified. limit: Maximum number of records to return (default 50, max 1000).

Endpoints

URLTransportStateLatencyChecked
https://mcp.olyport.com/cdc-wonder/mcp streamable-http answering 540 ms 12 min ago

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CDC Mortality (WONDER) — questions

Answers built from our own checks of this server.

What can CDC Mortality (WONDER) do?
It exposes 5 tools, read directly from the server on our last check. Among them: get_drug_overdose_deaths, get_infant_mortality, get_leading_causes_of_death, get_mortality_by_state, get_provisional_mortality. The full list with descriptions is on this page — we take it from the server itself via tools/list, not from a README. How MCP servers expose tools in the first place →
Is CDC Mortality (WONDER) working right now?
We send a real MCP handshake every 15 minutes. Over the last 24 hours 91 of 91 checks got a reply (100.0%), average response time 544 ms. The bar chart above shows every period we have measured.
How do I connect CDC Mortality (WONDER)?
Copy the ready config from this page — we generate it for Claude Code, Claude Desktop, Codex, Cursor and VS Code, each with the file path that client actually reads. It is a remote server, so there is nothing to install — the client connects to the address.
Does CDC Mortality (WONDER) need an API key?
No. CDC Mortality (WONDER) completed a full MCP handshake with us as an anonymous client and listed its tools without asking for anything. All 5 of them are readable on this page. This is what we observed, not what the docs claim.
How fast is CDC Mortality (WONDER)?
It answers our handshake in 544 ms on average, which is faster than 25% of all working MCP servers we measure. That is on the slow side — worth knowing if the tool sits inside an interactive loop. The comparison comes from our own checks across the whole registry, every 15 minutes.