# CDC Mortality (WONDER) (remote · mcp.olyport.com)

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

- Trust score: 64/100 (medium)
- Change this week: +6
- Registry status: active
- Liveness: live
- Owner verified: no
- Last scored: 2026-08-03

## Components

- remote · `mcp.olyport.com`: 64/100 (this document), [markdown](https://verifymcp.io/servers/com-olyport-cdc-wonder/cdc-wonder-mcp.md), [page](https://verifymcp.io/servers/com-olyport-cdc-wonder/cdc-wonder-mcp)

## Channel facts

- Endpoint: `https://mcp.olyport.com/cdc-wonder/mcp`
- Transports: `streamable-http`
- Auth: `none`
- Version: `1.1.0`

## Trust breakdown

How this component scores in each security and reliability category. Every signal is checked automatically against the live server, and we only credit what we can confirm. Scores are 0–100 per category. Scoring method: https://verifymcp.io/docs/scoring (what has changed: https://verifymcp.io/docs/scoring/changelog)

Scored 2026-08-03.

- **Endpoint Security**: 63/100
  - The endpoint's TLS certificate is valid, in date, and uses a strong key.
  - Authorisation not fully verified: no authorisation is required to call this server, and 5 tool(s) never declared a destructiveHint. The MCP spec treats an absent hint as destructive by default, so we cannot call this surface safe.
  - HTTPS is enforced; there's no plaintext access path.
  - The HSTS (Strict-Transport-Security) header is present.
  - DNSSEC check failed: this domain isn't protected by DNSSEC.
- **Transport & Reachability**: 100/100
  - Verified streamable-http transport via a live MCP handshake.
- **Schema Quality & AI Usability**: 64/100
  - AI-judged instruction clarity (good).
  - Context-footprint check failed: tool/resource definitions use about 800 tokens (~160/item across 5 items; 5 tools + 0 resources), over budget; trim descriptions and params.
  - Usage-examples check failed: none of the tools include examples.
- **Stability & Change Management**: 27/100
  - Stability observed for 8 of 30 days with no destabilising changes; credit accrues until the full window elapses.
- **Tool Coverage**: 71/100
  - 100% of tools have a non-trivial description (not blank, and not just the tool's name).
  - 0% of tool parameters carry a description.
  - Structured output schemas are declared (100% of tools); any adoption earns full credit.
- **Capabilities**: 100/100
  - Implements a supported MCP spec version (2025-11-25); the latest is 2026-07-28.

## Install

### Claude

```bash
claude mcp add --transport http com-olyport-cdc-wonder https://mcp.olyport.com/cdc-wonder/mcp
```

### Codex

```toml
[mcp_servers.com-olyport-cdc-wonder]
url = "https://mcp.olyport.com/cdc-wonder/mcp"
```

### opencode

```json
{
  "$schema": "https://opencode.ai/config.json",
  "mcp": {
    "com-olyport-cdc-wonder": {
      "type": "remote",
      "url": "https://mcp.olyport.com/cdc-wonder/mcp",
      "enabled": true
    }
  }
}
```

### OpenClaw

```bash
openclaw mcp add com-olyport-cdc-wonder --url https://mcp.olyport.com/cdc-wonder/mcp --transport streamable-http
```

### Hermes

```yaml
mcp_servers:
  com-olyport-cdc-wonder:
    url: "https://mcp.olyport.com/cdc-wonder/mcp"
```

### Other

```json
{
  "mcpServers": {
    "com-olyport-cdc-wonder": {
      "type": "http",
      "url": "https://mcp.olyport.com/cdc-wonder/mcp"
    }
  }
}
```

The mcpServers block is a cross-client convention. Remote transports vary, so check your client's docs.

## Changelog

Every change recorded for this component, newest first. Days that predate change tracking, or that we cannot explain, say so: "we were watching and nothing happened" and "we were not watching" are different claims.

### 2026-08-02 (score 64, +1)

No change was recorded against any check on this day. Stability & Change Management went from 20 to 23. That category is still filling its 30-day observation window: 6 days of observed history at the previous scan, 7 at this one. The score rises as the window fills, whether or not the server changes.

### 2026-07-31 (score 63, +3)

- [functional] We updated how we score, so this day's move reflects our rubric, not a change to the server

### 2026-07-30 (score 60, +1)

- [functional] We updated how we score, so this day's move reflects our rubric, not a change to the server

### 2026-07-28 (score 59, +1)

No change was recorded against any check on this day. Stability & Change Management went from 3 to 7. That category is still filling its 30-day observation window: 1 days of observed history at the previous scan, 2 at this one. The score rises as the window fills, whether or not the server changes.

### 2026-07-27 (score 58, +1)

- [functional] We updated how we score, so this day's move reflects our rubric, not a change to the server

### 2026-07-26 (score 57)

First indexed and scored.

## MCP tools (5)

### `get_leading_causes_of_death` (~178 tokens)

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).

Input parameters:

- `limit` (integer)
- `state` (string)
- `year` (integer)

Output parameters:

- `result` (string)

### `get_mortality_by_state` (~147 tokens)

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.

Input parameters:

- `cause` (string)
- `year` (integer)

Output parameters:

- `result` (string)

### `get_infant_mortality` (~130 tokens)

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.

Input parameters:

- `state` (string)
- `year` (integer)

Output parameters:

- `result` (string)

### `get_drug_overdose_deaths` (~152 tokens)

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).

Input parameters:

- `limit` (integer)
- `state` (string)
- `year` (integer)

Output parameters:

- `result` (string)

### `get_provisional_mortality` (~193 tokens)

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).

Input parameters:

- `cause_group` (string)
- `limit` (integer)
- `state` (string)

Output parameters:

- `result` (string)

## Diagnostics

Captured diagnostic sections: TLS, DNSSEC, Authorisation, Transports. The full working is on the page: https://verifymcp.io/servers/com-olyport-cdc-wonder/cdc-wonder-mcp#diagnostics

## Score history

- 2026-08-03: 64
- 2026-08-02: 64
- 2026-08-01: 63
- 2026-07-31: 63
- 2026-07-30: 60
- 2026-07-29: 59
- 2026-07-28: 59
- 2026-07-27: 58
- 2026-07-26: 57

## Links

- Remote endpoint: https://mcp.olyport.com/cdc-wonder/mcp
- Website: https://olyport.com/
- Changelog RSS feed: https://verifymcp.io/servers/com-olyport-cdc-wonder/cdc-wonder-mcp/changelog.xml
- Changelog JSON feed: https://verifymcp.io/servers/com-olyport-cdc-wonder/cdc-wonder-mcp/changelog.json
- HTML version of this page: https://verifymcp.io/servers/com-olyport-cdc-wonder/cdc-wonder-mcp