io.github.cyanheads/cdc-health-mcp-server

io.github.cyanheads/cdc-health-mcp-server · v0.10.0 · data-and-databases

io.github.cyanheads/cdc-health-mcp-server is healthy: it completed an MCP handshake in 420 ms and exposes 5 tools.

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

Endpoint: https://cdc.caseyjhand.com/mcp (streamable-http)

Repository · JSON · Add to my inventory

Facts

Users (last 30 days)0
HandshakeHealthy
Auth neededNone
Tool count5
Latency420 ms
Last checked (UTC)2026-10-16T07:15:41.698Z

Health history

Checked (UTC)StatusLatencyError
2026-10-16T07:15:41.698ZHealthy420
2026-10-15T03:20:49.712ZHealthy3104

Tools (5)

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 othe
cdc_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 th
cdc_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 a
cdc_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.
cdc_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