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CDC Mortality (WONDER)

Leading causes of death, mortality rates, infant mortality, and drug overdose data

RUN IN TERMINAL
# See repository for install instructions
ADD TO claude_desktop_config.json
{ "mcpServers": { "comolyport-cdc-wonder": { "command": "npx", "args": [] } } }
ADD TO .vscode/mcp.json
{ "mcpServers": { "comolyport-cdc-wonder": { "command": "npx", "args": [] } } }
ADD TO .cursor/mcp.json
{ "mcpServers": { "comolyport-cdc-wonder": { "command": "npx", "args": [] } } }

TRY THIS MCP

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About This MCP Server

The com.olyport/cdc-wonder server provides access to data related to leading causes of death, mortality rates, infant mortality, and drug overdose, enabling developers to connect to and utilize this information remotely in their applications. This server is particularly useful when a developer needs to incorporate public health data into their project. By leveraging this server, developers can tap into a wealth of data from the Centers for Disease Control and Prevention.

Leading causes of death, mortality rates, infant mortality, and drug overdose data. This is a Model Context Protocol (MCP) server that extends AI assistants like Claude with data & analytics capabilities via the streamable-http transport.

HOW TO USE

Select your AI client above to get the install command. This MCP server uses the streamable-http transport.

What tools does it provide?

The CDC Mortality (WONDER) server extends your AI assistant with data & analytics capabilities. Once installed, your AI can use its tools automatically.

DETAILS
README BADGE
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