NHTSA Vehicle Safety
Vehicle safety data from NHTSA — recalls, complaints, crash ratings, investigations, VIN decoding.
What is NHTSA Vehicle Safety?
NHTSA Vehicle Safety is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to vehicle safety data from nhtsa — recalls, complaints, crash ratings, investigations, vin decoding.
Vehicle safety data from NHTSA — recalls, complaints, crash ratings, investigations, VIN decoding.
This server falls under the Search & Data Extraction category on MCPgee, the world's largest MCP server directory with 33,000+ servers.
Features
- Vehicle safety data from NHTSA — recalls, complaints, crash
Use Cases
Maintainer
Works with
Installation
NPM
npx -y @cyanheads/nhtsa-vehicle-safety-mcp-serverManual Installation
npx -y @cyanheads/nhtsa-vehicle-safety-mcp-serverConfiguration
Configuration Details
claude_desktop_config.json
Performance
Response Metrics
Resource Usage
Frequently Asked Questions about NHTSA Vehicle Safety
What is NHTSA Vehicle Safety?
NHTSA Vehicle Safety is a Model Context Protocol (MCP) server that vehicle safety data from nhtsa — recalls, complaints, crash ratings, investigations, vin decoding. It connects AI assistants to external tools and data sources through a standardized interface.
How do I install NHTSA Vehicle Safety?
Install via npm with the command: npx -y @cyanheads/nhtsa-vehicle-safety-mcp-server. Then add the server configuration to your AI client's JSON config file (e.g., claude_desktop_config.json or .cursor/mcp.json).
Which AI clients work with NHTSA Vehicle Safety?
NHTSA Vehicle Safety works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.
Is NHTSA Vehicle Safety free to use?
Yes, NHTSA Vehicle Safety is open source and available under the MIT license. You can use it freely in both personal and commercial projects.
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Set Up NHTSA Vehicle Safety in Your Editor
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Quick Config Preview
Add this to your claude_desktop_config.json or .cursor/mcp.json
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