cdc-health-mcp-server

io.github.cyanheads/cdc-health-mcp-serverVersion 0.11.0

Search and query CDC public health data — mortality, vaccinations, surveillance, behavioral risk.

Status

Responds575 msNov 14, 2026, 14:48 UTCAnswered our handshake without sign-in.

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We could not refresh it, so this page shows the last copy.

Last checked: Nov 14, 2026, 14:48 UTC
Latency: 575 ms
Remotes responding: 1 of 1
Sign-in: No sign-in
Hosting: Hosted outside the EU (detected)
Registry data as of: Nov 14, 2026, 22:14 UTC

Data from the official MCP Registry, checked by run.zero. How we check

Connect

Streamable HTTP

https://cdc.caseyjhand.com/mcpResponds575 msNov 14, 2026, 14:48 UTC

No sign-in

Claude Code

claude mcp add --transport http cdc-health-mcp-server https://cdc.caseyjhand.com/mcp

Claude Desktop and claude.ai

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Settings > Connectors > Add custom connector
Name: cdc-health-mcp-server
Remote MCP server URL: https://cdc.caseyjhand.com/mcp

Cursor

{
  "mcpServers": {
    "cdc-health-mcp-server": {
      "url": "https://cdc.caseyjhand.com/mcp"
    }
  }
}

VS Code

code --add-mcp '{"name":"cdc-health-mcp-server","type":"http","url":"https://cdc.caseyjhand.com/mcp"}'

Streamable HTTP

npm: @cyanheads/cdc-health-mcp-server 0.11.0

Package only

npm (npx)

claude mcp add cdc-health-mcp-server -- npx -y @cyanheads/cdc-health-mcp-server@0.11.0

Streamable HTTP

npm: @cyanheads/cdc-health-mcp-server 0.11.0

Package only

npm (npx)

claude mcp add cdc-health-mcp-server -- npx -y @cyanheads/cdc-health-mcp-server@0.11.0

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Tools

5 tools

Tools of cdc-health-mcp-server
	Description		Read-only	Idempotent	Open world
`cdc_discover_datasets`Search the CDC dataset catalog by keyword, category, tag, or asset type. Returns IDs, names, truncated descriptions, asset types, column counts, update timestamps, and portal links. The catalog also holds charts, maps, stories, files, and links; an entry whose columnCount is 0 is one of those and yields no data from the other tools — reach a file or link through its permalink or accessPoints, and a chart or map through the dataset its parentIds name. Use cdc_get_dataset_schema for the full column list of a chosen dataset.	Search the CDC dataset catalog by keyword, category, tag, or asset type. Returns IDs, names, truncated descriptions, asset types, column counts, update timestamps, and portal links. The catalog also holds charts, maps, stories, files, and links; an entry whose columnCount is 0 is one of those and yields no data from the other tools — reach a file or link through its permalink or accessPoints, and a chart or map through the dataset its parentIds name. Use cdc_get_dataset_schema for the full column list of a chosen dataset.	Not declared	Yes	Not declared	Not declared
`cdc_get_dataset_schema`Fetch the column schema for a CDC dataset — names, data types, descriptions, row count, last-updated timestamp, and, for a filter, the dataset it is a view of — with the period and area it covers, how often it is updated, its suggested citation, license, and attribution wherever the publisher recorded them. A chart or map has no schema of its own; the failure names the dataset it is built on. Returns the first 100 columns by default; wide datasets continue via column_offset. The dataset description is capped at 4,000 characters by default; pass full_description: true for the whole text. Get dataset IDs from cdc_discover_datasets.	Fetch the column schema for a CDC dataset — names, data types, descriptions, row count, last-updated timestamp, and, for a filter, the dataset it is a view of — with the period and area it covers, how often it is updated, its suggested citation, license, and attribution wherever the publisher recorded them. A chart or map has no schema of its own; the failure names the dataset it is built on. Returns the first 100 columns by default; wide datasets continue via column_offset. The dataset description is capped at 4,000 characters by default; pass full_description: true for the whole text. Get dataset IDs from cdc_discover_datasets.	Not declared	Yes	Not declared	Not declared
`cdc_list_catalog_vocabulary`List the controlled vocabularies cdc_discover_datasets' category and tags filters are matched against — every domain category and domain tag the CDC catalog publishes, each with the number of entries carrying it. Call it before filtering a search: a value the catalog does not carry matches nothing and returns an empty page, which is indistinguishable from a real value with no results. All categories come back whole; the tag vocabulary runs to roughly 1,600 values, so tags are ranked by entry count and returned one page at a time via tag_limit and tag_offset. Pass filter to narrow both vocabularies to the values whose words contain its words, or that appear whole inside it; a filter under three letters or digits matches whole words only.	List the controlled vocabularies cdc_discover_datasets' category and tags filters are matched against — every domain category and domain tag the CDC catalog publishes, each with the number of entries carrying it. Call it before filtering a search: a value the catalog does not carry matches nothing and returns an empty page, which is indistinguishable from a real value with no results. All categories come back whole; the tag vocabulary runs to roughly 1,600 values, so tags are ranked by entry count and returned one page at a time via tag_limit and tag_offset. Pass filter to narrow both vocabularies to the values whose words contain its words, or that appear whole inside it; a filter under three letters or digits matches whole words only.	Not declared	Yes	Not declared	Not declared
`cdc_query_dataset`Execute a SoQL query against any CDC dataset. Supports filtering, aggregation, sorting, full-text search, and field selection. Use cdc_discover_datasets to find dataset IDs and cdc_get_dataset_schema to inspect columns before querying.	Execute a SoQL query against any CDC dataset. Supports filtering, aggregation, sorting, full-text search, and field selection. Use cdc_discover_datasets to find dataset IDs and cdc_get_dataset_schema to inspect columns before querying.	Not declared	Yes	Not declared	Not declared
`cdc_query_wonder`Query CDC WONDER for national US mortality statistics — deaths, population, and crude/age-adjusted death rates — across its five mortality databases, selected with the database input: final underlying-cause data for 1999–2020 (the default) or 2018–2024, provisional data running from 2018 through the current year (its latest year partial, with a notice saying so), and two multiple-cause databases covering the same two eras. Break results out by year, month, age group, sex, race, Hispanic origin, or underlying cause of death — ICD-10 chapter or sub-chapter, CDC's 113-cause list, its 15 leading causes, or injury intent — and filter by ICD-10 cause of death, sex, age group, or year range; on a multiple-cause database, mcd_icd10 additionally matches a cause listed anywhere on the death certificate rather than only the one certified as underlying. Each database holds a different span of years (1999–2026 across all of them) and a request whose year_range falls outside the selected one's span is rejected with that span named. WONDER is a separate CDC system from the Socrata datasets the other cdc_* tools query. Data is national only — sub-national (state/county) breakdowns are not available through the API (CDC vital-statistics policy). Chapter and sub-chapter rows carry their ICD-10 code range as cause_code, which cause_icd10 accepts as it stands; 113-cause-list rows carry cause_level, their depth in that nested list, whose deeper causes are already counted in the cause containing them; leading_causes ranks the 15 leading causes by deaths and combines with no other grouping, while the filters still apply; month rows carry deaths only — CDC publishes no monthly population, so population and both rates come back "Not Applicable". The values each grouping dimension can take multiply to bound the table — year beside month, or icd_chapter beside icd_subchapter, adds nothing, since the finer level already enumerates the coarser — and a grouping that could produce more than 10,00	Query CDC WONDER for national US mortality statistics — deaths, population, and crude/age-adjusted death rates — across its five mortality databases, selected with the database input: final underlying-cause data for 1999–2020 (the default) or 2018–2024, provisional data running from 2018 through the current year (its latest year partial, with a notice saying so), and two multiple-cause databases covering the same two eras. Break results out by year, month, age group, sex, race, Hispanic origin, or underlying cause of death — ICD-10 chapter or sub-chapter, CDC's 113-cause list, its 15 leading causes, or injury intent — and filter by ICD-10 cause of death, sex, age group, or year range; on a multiple-cause database, mcd_icd10 additionally matches a cause listed anywhere on the death certificate rather than only the one certified as underlying. Each database holds a different span of years (1999–2026 across all of them) and a request whose year_range falls outside the selected one's span is rejected with that span named. WONDER is a separate CDC system from the Socrata datasets the other cdc_* tools query. Data is national only — sub-national (state/county) breakdowns are not available through the API (CDC vital-statistics policy). Chapter and sub-chapter rows carry their ICD-10 code range as cause_code, which cause_icd10 accepts as it stands; 113-cause-list rows carry cause_level, their depth in that nested list, whose deeper causes are already counted in the cause containing them; leading_causes ranks the 15 leading causes by deaths and combines with no other grouping, while the filters still apply; month rows carry deaths only — CDC publishes no monthly population, so population and both rates come back "Not Applicable". The values each grouping dimension can take multiply to bound the table — year beside month, or icd_chapter beside icd_subchapter, adds nothing, since the finer level already enumerates the coarser — and a grouping that could produce more than 10,00	Not declared	Yes	Not declared	Not declared

Details

Registry status: Active
Published: Nov 1, 2026
Updated: Nov 1, 2026
Website: Not given
Repository: https://github.com/cyanheads/cdc-health-mcp-server⁠ (opens in a new tab)
Categories (suggested): Data and analyticsSuggested categories are assigned automatically from the registry text and may be wrong. Verified operators can correct them.
GDPR: Not declared

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