CDC WONDER (Epidemiologic Data) Connector for AI agents.
1 live capability
Pull public health and mortality data from CDC WONDER databases.
Waiting for input…
Why people use CDC WONDER (Epidemiologic Data)
CDC WONDER for Public Health Data Extraction
This Connector lets you skip the portal entirely. You just tell your AI client what you need, and it handles the parameter mapping. You get your data in a clean format ready for your report or spreadsheet.
What Vinkius changes
You get to skip the manual web interface and get public health data through a simple chat.
Use it from Claude, ChatGPT, Cursor or another AI client you already have.
One account · 5,900+ Connectors
- Real-world use case 01
Checking mortality rates for a specific age group
A researcher asks the agent to query the D76 database for mortality rates among seniors in 2022.
- Real-world use case 02
Monitoring vaccine adverse events
A health official asks for the latest VAERS reports for a specific vaccine.
- Real-world use case 03
Analyzing state birth statistics
A student needs birth rates for California.
Complete set · 1capability
The complete CDC WONDER (Epidemiologic Data) capability set.
These are the exact actions your AI can choose when you ask it to work with CDC WONDER (Epidemiologic Data).
01
1 capability in this set.
Part of 1 available through CDC WONDER (Epidemiologic Data).
- 01 Capability
Query wonder database
Query specific CDC WONDER databases like D76 or VAERS using provided IDs and parameters. This lets you pull precise mortality and birth statistics for your research.
Set up in minutes
One URL. Then ask CDC WONDER (Epidemiologic Data) to work.
Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use CDC WONDER (Epidemiologic Data) from the conversation.
Choose your client
Live previewAdvanced clients IDE · CLI
Claude · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_2e1hzTkTfK62bhDLQDVl0dAS6YzhqwKhDsDg2iRn/mcp - Step 01
Open Connectors
In Claude Web or Claude Desktop, open Settings and choose Connectors.
- Step 02
Add the URL
Choose Add custom connector, name it CDC WONDER (Epidemiologic Data), and paste the URL above.
- Step 03
Turn it on in chat
Select +, open Connectors, and enable CDC WONDER (Epidemiologic Data) for the conversation.
ChatGPT · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_2e1hzTkTfK62bhDLQDVl0dAS6YzhqwKhDsDg2iRn/mcp - Step 01
Open MCP settings
On desktop, open Settings and MCP servers. On web, open your workspace app or connector settings.
- Step 02
Add the URL
Choose Add server with Streamable HTTP, or create a custom MCP app, then paste the CDC WONDER (Epidemiologic Data) URL.
- Step 03
Save and start
Save the connection and enable CDC WONDER (Epidemiologic Data) in your conversation. Desktop may ask you to restart once.
Cursor · IDE configuration
Advanced setup
{
"mcpServers": {
"cdc-wonder-epidemiologic-data": {
"url": "https://edge.vinkius.com/vk_preview_2e1hzTkTfK62bhDLQDVl0dAS6YzhqwKhDsDg2iRn/mcp"
}
}
}- Step 01
Open MCP Settings
Press Cmd+Shift+P (macOS) or Ctrl+Shift+P (Windows/Linux) → search "MCP Settings"
- Step 02
Add the server config
Paste the JSON configuration above into the mcp.json file that opens
- Step 03
Save the file
Cursor will automatically detect the new Connector
- Step 04
Start using CDC WONDER (Epidemiologic Data)
Open Agent mode in chat and ask: "Using CDC WONDER (Epidemiologic Data), help me...". 1 tools available
VS Code Copilot · IDE configuration
Advanced setup
{
"mcpServers": {
"cdc-wonder-epidemiologic-data": {
"url": "https://edge.vinkius.com/vk_preview_2e1hzTkTfK62bhDLQDVl0dAS6YzhqwKhDsDg2iRn/mcp"
}
}
}- Step 01
Create MCP config
Create a .vscode/mcp.json file in your project root
- Step 02
Add the server config
Paste the JSON configuration above
- Step 03
Enable Agent mode
Open GitHub Copilot Chat and switch to Agent mode using the dropdown
- Step 04
Start using CDC WONDER (Epidemiologic Data)
Ask Copilot: "Using CDC WONDER (Epidemiologic Data), help me...". 1 tools available
Windsurf · IDE configuration
Advanced setup
{
"mcpServers": {
"cdc-wonder-epidemiologic-data": {
"url": "https://edge.vinkius.com/vk_preview_2e1hzTkTfK62bhDLQDVl0dAS6YzhqwKhDsDg2iRn/mcp"
}
}
}- Step 01
Open MCP Settings
Go to Settings → MCP Configuration or press Cmd+Shift+P and search "MCP"
- Step 02
Add the server
Paste the JSON configuration above into mcp_config.json
- Step 03
Save and reload
Windsurf will detect the new server automatically
- Step 04
Start using CDC WONDER (Epidemiologic Data)
Open Cascade and ask: "Using CDC WONDER (Epidemiologic Data), help me...". 1 tools available
Cline · IDE configuration
Advanced setup
{
"mcpServers": {
"cdc-wonder-epidemiologic-data": {
"url": "https://edge.vinkius.com/vk_preview_2e1hzTkTfK62bhDLQDVl0dAS6YzhqwKhDsDg2iRn/mcp"
}
}
}- Step 01
Open Cline MCP Settings
Click the Connectors icon in the Cline sidebar panel
- Step 02
Add remote server
Click "Add Connector" and paste the configuration above
- Step 03
Enable the server
Toggle the server switch to ON
- Step 04
Start using CDC WONDER (Epidemiologic Data)
Ask Cline: "Using CDC WONDER (Epidemiologic Data), help me...". 1 tools available
Claude Code · Terminal command
Advanced setup
claude mcp add cdc-wonder-epidemiologic-data --transport http "https://edge.vinkius.com/vk_preview_2e1hzTkTfK62bhDLQDVl0dAS6YzhqwKhDsDg2iRn/mcp"- Step 01
Install Claude Code
Run npm install -g @anthropic-ai/claude-code if not already installed
- Step 02
Add the Connector
Run the command above in your terminal
- Step 03
Verify the connection
Run claude mcp to list connected servers, or type /mcp inside a session
- Step 04
Start using CDC WONDER (Epidemiologic Data)
Ask Claude: "Using CDC WONDER (Epidemiologic Data), show me...". 1 tools are ready
Where the request belongs
Work CDC WONDER can move forward.
This is for public health professionals and researchers who are tired of manual data entry and want to get straight to the analysis. It's for the person who needs to justify a policy or write a paper and needs hard numbers fast.
Epidemiologist
Pulling mortality and birth statistics for a specific region to identify health trends on a Tuesday afternoon.
Public Health Official
Monitoring vaccine safety reports and health trends to inform community policy and safety guidelines.
Data Scientist
Fetching structured JSON data from CDC databases to feed into larger analytical models or research papers.
Build the capability set
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Bring your own AI
Change the model, client or framework. Keep CDC WONDER connected.
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Claude -
ChatGPT -
Gemini -
Cursor -
VS Code -
Windsurf -
ZCode -
Cline -
Zed -
Continue -
Kiro -
Roo Code -
Zencoder -
Goose -
Void -
Augment Code -
Amp -
Qodo -
Tabnine -
Pieces -
Sourcegraph Cody -
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Warp -
Amazon Q -
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BoltAI -
Raycast -
Jan -
LM Studio -
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Open WebUI -
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Cherry Studio -
LibreChat -
TypingMind -
Chorus -
5ire -
n8n -
LangChain -
LlamaIndex -
CrewAI -
Vercel AI SDK
Before you connect
Questions about CDC WONDER.
The practical details behind the request, access and result.
Can I use CDC WONDER MCP for mortality data?
Yes, you can pull data from the D76 and D77 databases to get specific mortality rates for different regions and timeframes.
Does CDC WONDER MCP include vaccine safety?
Yes, it can query the VAERS database to retrieve safety monitoring data and reported adverse events.
Can I get birth statistics with CDC WONDER MCP?
Yes, it connects to the D10 Natality database so you can analyze birth rates and maternal health metrics.
Is CDC WONDER MCP good for scientific research?
It is specifically designed for researchers who need to pull structured epidemiologic data for analysis and scientific papers.
Do I need a special API key for CDC WONDER MCP?
You may need a CDC WONDER API Access Token depending on your proxy setup, but the Connector handles the query construction.
Can I get data for specific states with CDC WONDER MCP?
Yes, you can use location filters to extract data for specific states or regions within the CDC databases.
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 capability. 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 capability handles the XML conversion for you.
Do I need to include the 'accept_datause_restrictions' parameter?
No. The query_wonder_database capability 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.
One connection away
Give your agent a direct line to CDC WONDER.
Connect CDC WONDER once. Keep it beside 5,900+ managed Connectors when the next task needs more.
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