cdc-health-mcp-server
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@cdc-health-mcp-serverfind CDC datasets on diabetes prevalence"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
Public Hosted Server: https://cdc.caseyjhand.com/mcp
Tools
Four tools for discovering and querying CDC public health data. Three query the CDC Open Data portal (Socrata); one queries CDC WONDER mortality statistics:
Tool | Description |
| Search the catalog by keyword, category, or tag. Entry point for all queries. |
| Fetch column schema, row count, and metadata for a dataset. Essential before writing SoQL queries. |
| Execute SoQL queries — filter, aggregate, sort, full-text search, and field selection. |
| Query CDC WONDER for national mortality statistics (deaths, population, crude/age-adjusted rates) by year, age, sex, and race, filtered by ICD-10 cause. Covers five CDC mortality databases — final and provisional, underlying-cause and multiple-cause. |
cdc_discover_datasets
Search the CDC dataset catalog to find relevant datasets.
Full-text search across dataset names and descriptions
Filter by domain category (e.g., "NNDSS", "Vaccinations", "Behavioral Risk Factors")
Filter by domain tags (e.g.,
["covid19", "surveillance"]) — a dataset matches on any one tag, so each tag added widens the result set; narrow withqueryorcategory, which intersect with the tag setReturns dataset IDs, names, truncated descriptions, a column count with a short column sample, and update timestamps — use
cdc_get_dataset_schemafor the full column listEach result carries its catalog
assetType(dataset,filter,chart,map,story,file,href); acolumnCountof 0 marks an entry that is not tabular and yields no data from the other toolsPagination via offset for browsing large result sets —
offsetpluslimitmust not exceed 10,000, the ceiling the catalog enforcesdomainselects the host contacted,data.cdc.gov(default) orchronicdata.cdc.gov— both front the same catalog and return the same entries, so switching hosts neither widens nor narrows a search
cdc_get_dataset_schema
Fetch the full column schema for a specific dataset.
Column names, data types, and descriptions
Row count and last-updated timestamp
Essential for understanding column types before writing
$whereclausesAccepts four-by-four dataset identifiers (e.g.,
bi63-dtpu)Fails with
not_queryablewhen the ID names a non-tabular catalog asset, rather than returning an empty column listdomainselects the host contacted,data.cdc.gov(default) orchronicdata.cdc.gov— a four-by-four ID resolves on either
cdc_query_dataset
Execute SoQL queries against any CDC dataset.
Full SoQL support:
$select,$where,$group,$having,$orderFull-text search across all text columns via
$qUp to 5,000 rows per request with pagination
Returns the SoQL clauses it sent as
effectiveQuery, values in their original text rather than URL-encoded, so a clause can be copied back into the parameter it came fromAll response values are strings (per SODA v2.1) — parse based on column type metadata
domainselects the host contacted,data.cdc.gov(default) orchronicdata.cdc.gov— a four-by-four ID returns the same rows from either
cdc_query_wonder
Query CDC WONDER for national US mortality statistics — a separate CDC system from the Socrata datasets the other tools query.
database picks which of CDC's five mortality databases answers the query:
Value | CDC database | Years | Race groups |
|
| D76 — Underlying Cause of Death | 1999–2020 | 4 bridged | — |
| D176 — Provisional Mortality Statistics | 2018 → current year | 6 single-race | yes |
| D158 — Underlying Cause of Death, Single Race | 2018–2024 | 6 single-race | — |
| D77 — Multiple Cause of Death | 1999–2020 | 4 bridged | yes |
| D157 — Multiple Cause of Death, Single Race | 2018–2024 | 6 single-race | yes |
Group results by any of
year,age_group,sex,race(1–4 dimensions)Filter by ICD-10 underlying cause, sex, age groups, and year range
age_groupscarries the whole list CDC offers: the eleven ten-year groups plusNS, the group for a death whose age was not recorded. Listing the eleven withoutNSreturns fewer deaths than the same query unfiltered, so include it to match an all-ages total or select it alone to count those deathsmcd_icd10matches a cause recorded anywhere on the death certificate rather than only the one certified as underlying — "died with a respiratory condition listed", which no underlying-cause query can produce. Accepted only by the three databases marked above; the others reject it. A multiple-cause database queried without it returns the same figures as the underlying-cause database for the same years, and says soyear_rangecarries the union of every database's span; a range outside the span of the one selected is rejected with that database's actual years namedA
racebreakdown does not carry across the two race families — bridged race combines Asian and Pacific Islander into one group, single race splits them and adds a multiracial category, so the two series are not comparableBoth cause filters also take
999--999, CDC's marker for deaths whose cause it is still withholding under the provisional database's six-month reporting lag. Onlyprovisionalrecords them; the other databases reject the code, and the tool says which one to selectRow dimension values are CDC's own labels with surrounding whitespace removed, so the same year keys identically across databases — CDC pads a few of them, and
"2024 "and"2024"would otherwise read as two different yearsProvisional rows carry CDC's own year labels, e.g.
2025 (provisional)and2026 (provisional and partial), rather than a bare yearReturns deaths, population, and crude death rate, plus age-adjusted rate when WONDER can standardize by age — omitted when grouping by
age_groupor filtering to a single age groupNational totals only — sub-national (state/county) breakdowns are not available through the WONDER API (CDC vital-statistics policy)
CDC replaces some measure values with a status token —
Suppressed(withheld for confidentiality),Unreliable(a rate from fewer than 20 deaths),Not Applicable(no population denominator). Those cells readnullinrows;cellNotesnames the row, column, and token for eachCDC also hides whole rows before sending the table — strata with zero deaths, and strata whose death count is suppressed. Those rows are absent from
rowswith nothing marking the gap, somessagescarries CDC's own statement whenever it happenedCDC rejects requests made less than 15 seconds apart, measured from the end of the previous response and counted across all five databases; the server spaces consecutive requests 16 seconds automatically
Related MCP server: mcp-data-connecticut
Resources and prompt
Type | Name | Description |
Resource |
| 50 most-viewed catalog entries for orientation, each with its asset type and column count |
Resource |
| Dataset metadata and column schema (equivalent to schema tool) |
Prompt |
| Picks between CDC WONDER and the Socrata catalog for the question at hand, then runs a 5-step workflow: discover, inspect, baseline query, compare, synthesize |
Features
Built on @cyanheads/mcp-ts-core:
Declarative tool definitions — single file per tool, framework handles registration and validation
Unified error handling across all tools
Pluggable auth (
none,jwt,oauth)Swappable storage backends:
in-memory,filesystem,Supabase,Cloudflare KV/R2/D1Structured logging with optional OpenTelemetry tracing
Runs locally (stdio/HTTP) or on Cloudflare Workers from the same codebase
CDC-specific:
Wraps the Socrata SODA API v2.1 — no auth required, optional app token for higher rate limits
Adds CDC WONDER mortality access (
cdc_query_wonder) — national deaths, population, and crude/age-adjusted rates across five mortality databases spanning 1999 through the current year, final and provisional, underlying-cause and multiple-cause; a separate XML-over-HTTP CDC systemDiscovery-first approach for a heterogeneous catalog (~1,080 datasets across many health domains)
Two CDC Socrata hosts via the
domaininput —data.cdc.gov(default) andchronicdata.cdc.gov, restricted to this allowlist. Both front one Socrata tenant: a single catalog whose assets — PLACES small-area estimates, the Heart Disease & Stroke Atlas and Environmental Public Health Tracking among them — are discoverable and queryable from either hostConservative request spacing for rate limit compliance (no rate-limit headers returned by Socrata)
Handles SODA string-typed responses — all values returned as strings, parsed via column type metadata
Getting started
Public Hosted Instance
A public instance is available at https://cdc.caseyjhand.com/mcp — no installation required. Point any MCP client at it via Streamable HTTP:
{
"mcpServers": {
"cdc-health-mcp-server": {
"type": "streamable-http",
"url": "https://cdc.caseyjhand.com/mcp"
}
}
}Self-Hosted / Local
Add the following to your MCP client configuration file.
{
"mcpServers": {
"cdc-health-mcp-server": {
"type": "stdio",
"command": "bunx",
"args": ["@cyanheads/cdc-health-mcp-server@latest"],
"env": {
"MCP_TRANSPORT_TYPE": "stdio",
"MCP_LOG_LEVEL": "info"
}
}
}
}Or with npx (no Bun required):
{
"mcpServers": {
"cdc-health-mcp-server": {
"type": "stdio",
"command": "npx",
"args": ["-y", "@cyanheads/cdc-health-mcp-server@latest"],
"env": {
"MCP_TRANSPORT_TYPE": "stdio",
"MCP_LOG_LEVEL": "info"
}
}
}
}Or with Docker:
{
"mcpServers": {
"cdc-health-mcp-server": {
"type": "stdio",
"command": "docker",
"args": ["run", "-i", "--rm", "-e", "MCP_TRANSPORT_TYPE=stdio", "ghcr.io/cyanheads/cdc-health-mcp-server:latest"]
}
}
}For Streamable HTTP, set the transport and start the server:
MCP_TRANSPORT_TYPE=http MCP_HTTP_PORT=3010 bun run start:http
# Server listens at http://localhost:3010/mcpPrerequisites
Bun v1.3.2 or higher.
Optional: Socrata app token for higher rate limits.
Installation
Clone the repository:
git clone https://github.com/cyanheads/cdc-health-mcp-server.gitNavigate into the directory:
cd cdc-health-mcp-serverInstall dependencies:
bun installConfiguration
All configuration is validated at startup via Zod schemas in src/config/server-config.ts. Key environment variables:
Variable | Description | Default |
| Transport: |
|
| HTTP server port |
|
| Authentication: |
|
| Log level ( |
|
| Directory for log files (Node.js only) |
|
| Storage backend: |
|
| Socrata app token for higher rate limits | none |
| Base URL for SODA API requests |
|
| Base URL for Socrata Discovery API |
|
| Enable OpenTelemetry instrumentation (spans, metrics, completion logs) |
|
Running the server
Local development
Build and run the production version:
# One-time build bun run rebuild # Run the built server bun run start:http # or bun run start:stdioRun checks and tests:
bun run devcheck # Lints, formats, type-checks, and more bun run test # Runs the test suite
Project structure
Directory | Purpose |
| Tool definitions ( |
| Resource definitions. Catalog overview and dataset detail. |
| Prompt definitions. Health trend analysis workflow. |
| Socrata SODA API service layer — HTTP client, catalog search, metadata, queries. |
| Server-specific environment variable parsing and validation with Zod. |
Development guide
See CLAUDE.md for development guidelines and architectural rules. The short version:
Handlers throw, framework catches — no
try/catchin tool logicUse
ctx.logfor logging,ctx.statefor storageRegister new tools and resources in the
createApp()arrays
Contributing
Issues and pull requests are welcome. Run checks and tests before submitting:
bun run devcheck
bun run testLicense
This project is licensed under the Apache 2.0 License. See the LICENSE file for details.
This server cannot be installed
Maintenance
Resources
Unclaimed servers have limited discoverability.
Looking for Admin?
If you are the server author, to access and configure the admin panel.
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