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Constat MCP — FDA Device Evidence Lifecycle

FDA and CMS evidence for AI medical devices: 510(k), postmarket, reimbursement, and compliance.

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

TRY THIS MCP

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About This MCP Server

The com.healthai/radar server is a Model Context Protocol server that provides access to regulatory risk information related to FDA and NHTSA compliance, including 510(k) evidence, postmarket requirements, and reimbursement details. It enables remote connections to retrieve this information, which can be used by developers to ensure their agents meet the necessary regulatory standards. Developers working on healthcare or medical device projects would use this server to assess and mitigate potential regulatory risks associated with their products.

FDA and CMS evidence for AI medical devices: 510(k), postmarket, reimbursement, and compliance.. This is a Model Context Protocol (MCP) server that extends AI assistants like Claude with ai & machine learning 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 Constat MCP — FDA Device Evidence Lifecycle server extends your AI assistant with ai & machine learning capabilities. Once installed, your AI can use its tools automatically.

DETAILS
README BADGE
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