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CDC WONDER (Epidemiologic Data) MCP Server

Bring Epidemiology
to Mastra AI

Learn how to connect CDC WONDER (Epidemiologic Data) to Mastra AI and start using 1 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.

MCP Inspector GDPR Free for Subscribers
Query Wonder Database

Compatible with every major AI agent and IDE

ClaudeClaude
ChatGPTChatGPT
CursorCursor
GeminiGemini
WindsurfWindsurf
VS CodeVS Code
JetBrainsJetBrains
VercelVercel
+ other MCP clients
CDC WONDER (Epidemiologic Data)

What is the CDC WONDER (Epidemiologic Data) MCP Server?

Connect to the CDC WONDER (Wide-ranging Online Data for Epidemiologic Research) system to query massive public health databases through natural language.

What you can do

  • Mortality Data — Query the D76 (Detailed Mortality) and D77 (Underlying Cause of Death) databases for specific timeframes and regions.
  • Birth Statistics — Access the D10 (Natality) database to analyze birth rates and maternal health metrics.
  • Vaccine Safety — Query the VAERS (Vaccine Adverse Event Reporting System) database for safety monitoring data.
  • Structured Queries — Execute complex ad-hoc queries using standard CDC parameters (B_, M_, V_, F_, O_ prefixes) for precise data extraction.
  • Epidemiologic Research — Retrieve raw data for analysis in scientific research, public health policy, or educational projects.

How it works

  1. Subscribe to this server
  2. Enter your CDC WONDER API Access Token (if required by your proxy) or accept the Data Use Agreement
  3. Start querying epidemiologic data from Claude, Cursor, or any MCP-compatible client

Who is this for?

  • Epidemiologists & Researchers — quickly pull mortality and birth statistics without navigating the complex WONDER web interface
  • Public Health Officials — monitor health trends and vaccine safety reports directly from an AI assistant
  • Data Scientists — fetch structured JSON epidemiologic data for integration into larger analytical workflows

Built-in capabilities (1)

query_wonder_database

g., D76 for Mortality). Provide the database ID and a JSON object of parameters (B_, M_, V_, F_, O_ prefixes). Query CDC WONDER epidemiologic databases

Why Mastra AI?

Mastra's agent abstraction provides a clean separation between LLM logic and CDC WONDER (Epidemiologic Data) tool infrastructure. Connect 1 tools through Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution. deployable to any Node.js host in one command.

  • Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add CDC WONDER (Epidemiologic Data) without touching business code

  • Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation

  • TypeScript-native: full type inference for every CDC WONDER (Epidemiologic Data) tool response with IDE autocomplete and compile-time checks

  • One-command deployment to any Node.js host. Vercel, Railway, Fly.io, or your own infrastructure

M
See it in action

CDC WONDER (Epidemiologic Data) in Mastra AI

AI AgentVinkius
High Security·Kill Switch·Plug and Play
Why Vinkius

CDC WONDER (Epidemiologic Data) and 4,000+ other MCP servers. One platform. One governance layer.

Teams that connect CDC WONDER (Epidemiologic Data) to Mastra AI through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.

4,000+MCP Servers ready
<40msCold start
60%Token savings
Raw MCP
Vinkius
Server catalogFind and host yourself4,000+ managed
InfrastructureSelf-hostedSandboxed V8 isolates
Credential handlingPlaintext in configVault + runtime injection
Data loss preventionNoneConfigurable DLP policies
Kill switchNoneGlobal instant shutdown
Financial circuit breakersNonePer-server limits + alerts
Audit trailNoneEd25519 signed logs
SIEM log streamingNoneSplunk, Datadog, Webhook
HoneytokensNoneCanary alerts on leak
Custom domainsNot applicableDNS challenge verified
GDPR complianceManual effortAutomated purge + export
Enterprise Security

Why teams choose Vinkius for CDC WONDER (Epidemiologic Data) in Mastra AI

The CDC WONDER (Epidemiologic Data) MCP Server runs on Vinkius-managed infrastructure inside AWS — a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts. All 1 tools execute in hardened sandboxes optimized for native MCP execution.

Your AI agents in Mastra AI only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.

CDC WONDER (Epidemiologic Data)
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

The Vinkius Advantage

How Vinkius secures CDC WONDER (Epidemiologic Data) for Mastra AI

Every tool call from Mastra AI to the CDC WONDER (Epidemiologic Data) MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.

< 40msCold start
Ed25519Signed audit chain
60%Token savings
FAQ

Frequently asked questions

01

Which databases can I access using this server?

You can query any database supported by the CDC WONDER API by providing its ID to the query_wonder_database tool. Common IDs include D76 (Detailed Mortality), D10 (Natality), and VAERS (Vaccine Adverse Event Reporting System).

02

How should I format the parameters for a query?

Parameters should be provided as a JSON object using the standard CDC prefixes: B_ for by-variables, M_ for measures, V_ for values, F_ for filters, and O_ for other options. The query_wonder_database tool handles the XML conversion for you.

03

Do I need to include the 'accept_datause_restrictions' parameter?

No. The query_wonder_database tool is designed to handle the data use restrictions agreement internally. You only need to provide the specific database ID and the analytical parameters for your search.

04

How does Mastra AI connect to MCP servers?

Create an MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.

05

Can Mastra agents use tools from multiple servers?

Yes. Pass multiple MCP clients to the agent constructor. Mastra merges all tool schemas and the agent can call any tool from any server.

06

Does Mastra support workflow orchestration?

Yes. Mastra has a built-in workflow engine that lets you chain MCP tool calls with branching logic, error handling, and parallel execution.

07

createMCPClient not exported

Install: npm install @mastra/mcp

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