cdc-health-mcp-server
cyanheads
cyanheads
MCP server for discovering and querying CDC public health datasets via the Socrata SODA API, providing access to ~1,487 datasets across disease surveillance, mortality, vaccinations, and behavioral risk factors.
The server returned 5 tools in tools/list. Only “cdc_list_catalog_vocabulary” was invoked with a synthetic read-only input and succeeded.
cdc_discover_datasetsSearch the CDC dataset catalog by keyword, category, or tag. Returns IDs, names, truncated descriptions, asset types, column counts, and update timestamps. 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. Use cdc_get_dataset_schema for the full column list of a chosen dataset.
Parameters: domain, query, category, tags, limit, offset, ordercdc_get_dataset_schemaFetch the column schema for a CDC dataset — names, data types, descriptions, row count, and last-updated timestamp. 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.
Parameters: domain, datasetId, column_limit, column_offset, full_descriptioncdc_list_catalog_vocabularyList 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 it.
Parameters: domain, filter, tag_limit, tag_offsetcdc_query_datasetExecute 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.
Parameters: domain, datasetId, search, select, where, group, having, order, limit, offsetcdc_query_wonderQuery 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, and two multiple-cause databases covering the same two eras. Break results out by year, age group, sex, and/or race, 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 av
Parameters: database, group_by, cause_icd10, mcd_icd10, sex, age_groups, year_range, limit, offsetThis server’s available tools can vary by account, permissions, or configuration. The list shown is not its full runtime catalog.
Name, description, publisher identifier, categories, transport, tool inventory, and install configuration.
Repository URL linked from the public profile; npm package repository metadata matched this GitHub repository.
Published package version 0.10.0 checked before launch. Registry repository: git+https://github.com/cyanheads/cdc-health-mcp-server.git.
Maintainer README identifies five CDC data discovery/schema/query tools.
Documentation checked 2026-10-28T00:00:00Z. Connection has not been runtime tested.
cyanheads
MCP server for discovering and querying CDC public health datasets via the Socrata SODA API, providing access to ~1,487 datasets across disease surveillance, mortality, vaccinations, and behavioral risk factors.
The server returned 5 tools in tools/list. Only “cdc_list_catalog_vocabulary” was invoked with a synthetic read-only input and succeeded.
cdc_discover_datasetsSearch the CDC dataset catalog by keyword, category, or tag. Returns IDs, names, truncated descriptions, asset types, column counts, and update timestamps. 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. Use cdc_get_dataset_schema for the full column list of a chosen dataset.
Parameters: domain, query, category, tags, limit, offset, ordercdc_get_dataset_schemaFetch the column schema for a CDC dataset — names, data types, descriptions, row count, and last-updated timestamp. 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.
Parameters: domain, datasetId, column_limit, column_offset, full_descriptioncdc_list_catalog_vocabularyList 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 it.
Parameters: domain, filter, tag_limit, tag_offsetcdc_query_datasetExecute 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.
Parameters: domain, datasetId, search, select, where, group, having, order, limit, offsetcdc_query_wonderQuery 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, and two multiple-cause databases covering the same two eras. Break results out by year, age group, sex, and/or race, 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 av
Parameters: database, group_by, cause_icd10, mcd_icd10, sex, age_groups, year_range, limit, offsetThis server’s available tools can vary by account, permissions, or configuration. The list shown is not its full runtime catalog.
Name, description, publisher identifier, categories, transport, tool inventory, and install configuration.
Repository URL linked from the public profile; npm package repository metadata matched this GitHub repository.
Published package version 0.10.0 checked before launch. Registry repository: git+https://github.com/cyanheads/cdc-health-mcp-server.git.
Maintainer README identifies five CDC data discovery/schema/query tools.
Documentation checked 2026-10-28T00:00:00Z. Connection has not been runtime tested.