Bring Epidemiology
to Claude Code
Learn how to connect CDC WONDER (Epidemiologic Data) to Claude Code and start using 1 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.
GDPR Free for SubscribersCompatible with every major AI agent and IDE
Gemini
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
- Subscribe to this server
- Enter your CDC WONDER API Access Token (if required by your proxy) or accept the Data Use Agreement
- 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)
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 Claude Code?
Claude Code registers CDC WONDER (Epidemiologic Data) as an MCP server in a single terminal command. Once connected, Claude Code discovers all 1 tools at runtime and can call them headlessly. ideal for CI/CD pipelines, cron jobs, and automated workflows where CDC WONDER (Epidemiologic Data) data drives decisions without human intervention.
- —
Single-command setup:
claude mcp addregisters the server instantly. no config files to edit or applications to restart - —
Terminal-native workflow means MCP tools integrate seamlessly into shell scripts, CI/CD pipelines, and automated DevOps tasks
- —
Claude Code runs headlessly, enabling unattended batch processing using CDC WONDER (Epidemiologic Data) tools in cron jobs or deployment scripts
- —
Built by the same team that created the MCP protocol, ensuring first-class compatibility and the fastest adoption of new protocol features
CDC WONDER (Epidemiologic Data) in Claude Code
CDC WONDER (Epidemiologic Data) and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect CDC WONDER (Epidemiologic Data) to Claude Code 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.
Raw MCP | Vinkius | |
|---|---|---|
| Server catalog | Find and host yourself | 4,000+ managed |
| Infrastructure | Self-hosted | Sandboxed V8 isolates |
| Credential handling | Plaintext in config | Vault + runtime injection |
| Data loss prevention | None | Configurable DLP policies |
| Kill switch | None | Global instant shutdown |
| Financial circuit breakers | None | Per-server limits + alerts |
| Audit trail | None | Ed25519 signed logs |
| SIEM log streaming | None | Splunk, Datadog, Webhook |
| Honeytokens | None | Canary alerts on leak |
| Custom domains | Not applicable | DNS challenge verified |
| GDPR compliance | Manual effort | Automated purge + export |
Why teams choose Vinkius for CDC WONDER (Epidemiologic Data) in Claude Code
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 Claude Code 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.
* 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
How Vinkius secures
CDC WONDER (Epidemiologic Data) for Claude Code
Every tool call from Claude Code 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.
Frequently asked questions
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).
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.
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.
How do I add an MCP server to Claude Code?
Run claude mcp add <name> --transport http "<url>" in your terminal. Claude Code registers the server and discovers all tools immediately.
Can Claude Code run MCP tools in headless mode?
Yes. Claude Code supports non-interactive execution, making it ideal for scripts, cron jobs, and CI/CD pipelines that need MCP tool access.
How do I list all connected MCP servers?
Run claude mcp in your terminal to see all registered servers and their status, or type /mcp inside an active Claude Code session.
Command not found: claude
Ensure Claude Code is installed globally: npm install -g @anthropic-ai/claude-code
Connection timeout
Check your internet connection and verify the Edge URL is reachable
Explore More MCP Servers
View all →
Cloopen / 容联云
10 toolsLeading cloud communication platform in China — manage SMS, voice calls, and applications via AI.
Wrike
6 toolsManage tasks, projects, and folders on Wrike — the most versatile work management platform for teams.
Datadog AI (LLM Observability)
10 toolsMonitor LLM performance via Datadog — track token usage, audit prompts, and monitor AI model metrics directly from any AI agent.
PubChem
3 toolsSearch 116M+ chemical compounds with molecular properties, SMILES notation, formulas, and drug-like properties from the world's largest free chemistry database.