CDC Mortality (WONDER)
CDC Mortality (WONDER) is an MCP server that lets agents query leading causes of death, mortality rates, infant mortality, and overdose data through streamable HTTP.
About
CDC Mortality (WONDER) is an Olyport Model Context Protocol server that connects coding agents to CDC WONDER-style mortality intelligence: leading causes of death, mortality rates, infant mortality indicators, and drug overdose statistics via streamable HTTP. developers exploring opioid crisis tooling, public health dashboards, mortality education content, or insurer-adjacent analytics prototypes can install the remote so agents ground problem statements in national and jurisdictional death statistics instead of outdated citations. It belongs in Idea research when comparing niches, and in Build integrations when backend agents must fetch mortality dimensions for API responses—always with clear statistical literacy and no implied clinical advice. Version 1.1.0 is published under the standard MCP server schema with documentation at olyport.com. Treat it as a federal mortality data bridge rather than a full WONDER UI replacement.
- CDC WONDER: leading causes of death, mortality rates, infant mortality, drug overdose data
- Streamable-http MCP v1.1.0 at mcp.olyport.com/cdc-wonder/mcp
- Mortality analytics context for dashboards, reports, and AI research assistants
- Avoids manual WONDER portal navigation during agent-driven spec writing
- Stacks with MMWR and PLACES MCP servers for surveillance plus outcome depth
CDC Mortality (WONDER) by the numbers
- Exposes 5 verified tools (MCP introspection)
- Data as of Jul 7, 2026 (Skillselion catalog sync)
claude mcp add --transport http cdc-wonder https://mcp.olyport.com/cdc-wonder/mcpAdd your badge
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| Transport | HTTP |
|---|---|
| Auth | None |
| Tools | 5 |
What it does
Access CDC WONDER mortality statistics—leading causes, rates, infant mortality, and drug overdose—while researching health analytics or policy products.
Who is it for?
Best when you're building overdose awareness tools, mortality visualizations, or policy research copilots grounded in CDC death statistics.
Skip if: Use cases needing real-time death records, individual certificates, or jurisdictions WONDER aggregates do not support cleanly.
What you get
After connecting the MCP, your agent can supply mortality rates and cause rankings while you draft research memos, charts specs, and validation hypotheses.
- Mortality and overdose metric summaries for research documents
- Data model hints aligned to WONDER dimensions
- Agent queries usable in chart specs and API response planning
By the numbers
- Server version 1.1.0
- Endpoint https://mcp.olyport.com/cdc-wonder/mcp (streamable-http)
- Data domains: leading causes, mortality rates, infant mortality, drug overdose per CDC WONDER description
Tools 5
Public tool metadata - what this server can do for an agent.
get_leading_causes_of_death3 paramsGet 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).
statestringyearintegerlimitinteger
get_mortality_by_state2 paramsCompare 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.
causestringyearinteger
get_infant_mortality2 paramsGet 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.
statestringyearinteger
get_drug_overdose_deaths3 paramsGet 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).
statestringyearintegerlimitinteger
get_provisional_mortality3 paramsGet 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).
statestringcause_groupstringlimitinteger
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Mortality statistics MCP adapter, not a certified vital-records system or charting SaaS.
FAQ
Who is CDC Mortality (WONDER) for?
Developers and agent users creating US health analytics, education, or civic products who need CDC mortality and overdose statistics in workflow.
When should I use CDC Mortality (WONDER)?
Use it during idea research and early product design when cause-of-death trends, infant mortality, or overdose rates should shape your problem statement.
How do I add CDC Mortality (WONDER) to my agent?
Register streamable-http remote https://mcp.olyport.com/cdc-wonder/mcp in your MCP configuration, then use the server tools from Claude Code, Cursor, or Codex.