vehicle-safety
Connects Claude to NHTSA vehicle safety data, enabling VIN decoding, recall checks, crash-test ratings, and consumer complaints via natural language.
README
vehicle-safety-mcp
An MCP server that connects Claude to NHTSA vehicle safety data — VIN decoding, safety recalls, NCAP crash-test ratings, and consumer complaints. Ask Claude "does my car have any open recalls?" and get a real answer from the US government's own data.
Built on the free NHTSA public APIs — no API key required.
Why
Vehicle safety data is public but painful: it lives across several government APIs, each response carries 100+ mostly-empty fields, and safety ratings require a two-step lookup nobody remembers. This server does the plumbing so the conversation stays natural:
You: Is a 2020 Honda Civic safe? Anything I should know before buying one?
Claude: (calls
get_safety_ratings+get_recalls+get_complaints) The 2020 Civic scored 5 stars overall in NCAP testing… it has 5 recall campaigns, most notably the fuel pump recall… the most complained-about component is…
Tools
| Tool | What it does |
|---|---|
decode_vin |
VIN → make, model, year, engine, plant, safety equipment |
check_vin_recalls |
VIN → decoded vehicle + its recall campaigns, in one step |
get_recalls |
Recall campaigns for a make/model/year (defect, consequence, remedy) |
get_safety_ratings |
NCAP crash-test star ratings per body-style variant |
get_complaints |
Consumer complaints, grouped by component, with recent narratives |
Responses are deliberately trimmed for LLM consumption — raw NHTSA payloads are noisy, so the server keeps the fields that change an answer and drops the rest. Less context burned, better answers.
Quickstart
Requires uv (it manages Python ≥3.11 for you).
git clone https://github.com/basit-khan-abdul/vehicle-safety-mcp.git
cd vehicle-safety-mcp
uv sync
Claude Code
claude mcp add vehicle-safety -- uv run --directory /path/to/vehicle-safety-mcp vehicle-safety-mcp
Claude Desktop
Add to claude_desktop_config.json (Settings → Developer → Edit Config):
{
"mcpServers": {
"vehicle-safety": {
"command": "uv",
"args": ["run", "--directory", "/path/to/vehicle-safety-mcp", "vehicle-safety-mcp"]
}
}
}
Restart Claude Desktop; the tools appear under the 🔌 icon.
Try asking
- "Decode this VIN: 5UXWX7C5BA"*
- "Does the 2020 Honda Civic have any recalls?"
- "Compare crash-test ratings of a 2021 Toyota RAV4 and a 2021 Honda CR-V"
- "What do owners complain about most on the 2019 Ford F-150?"
Tests
Live smoke tests against the real APIs (the upstream contract is the product):
uv run pytest
Design notes
- Trimmed responses over raw passthrough. Each NHTSA record is filtered to a curated field list (
nhtsa.py). An LLM doesn't need 140 vPIC fields to say "it's a BMW X3". - Composite tool for the common question.
check_vin_recallschains decode → recall lookup because "does my car have recalls?" is the question real people ask — one tool call instead of two round trips. - Bounded output everywhere. Ratings capped at 5 variants, complaint narratives truncated at 400 chars, complaint list limited — tool output that scrolls forever helps nobody.
Data source & disclaimer
Data comes from the US National Highway Traffic Safety Administration public APIs and covers vehicles sold in the United States. This project is not affiliated with or endorsed by NHTSA. Always verify safety-critical information with official sources.
License
MIT © Basit Khan
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Magic Component Platform (MCP)
An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
Audiense Insights MCP Server
Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.
VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
graphlit-mcp-server
The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.
Kagi MCP Server
An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.
E2B
Using MCP to run code via e2b.
Neon Database
MCP server for interacting with Neon Management API and databases
Exa Search
A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.