mcp server
nhtsa-vehicle-safety-mcp-server
Decode VINs, search recalls, complaints, crash ratings, and investigations.
Description as published by the maintainer. Source
- version 0.9.4
- active
- retrieval
- memory and context
active — Most recent push to the repository was 2026-07-30. Dashed tags are derived by ZBS Index from the published description, not stated by the maintainer.
What this server can do
7 functions, named and described by the server itself. Parameter names are shown because they say more about what a function does than its name usually does.
nhtsa_decode_vin(vin, modelYear)- Decode a Vehicle Identification Number to extract make, model, year, body type, engine, safety equipment, and manufacturing details. Pass a single 17-character VIN string, or an array of up to 50 VINs for batch decode. Partial VINs accepted — use * for unknown positions. Required: vin.
nhtsa_get_safety_ratings(make, model, modelYear, vehicleId)- Get NCAP crash test ratings and ADAS feature availability for a vehicle. Use when the user specifically wants crash test stars, rollover risk, or wants to compare safety features across vehicles. NCAP data available from 1990+, best coverage for 2011+.
nhtsa_get_vehicle_safety(make, model, modelYear)- Get a comprehensive safety profile for a vehicle. Combines NCAP crash test ratings, recalls, and complaint summary into a single response. Use as the default when asked about vehicle safety, reliability, or purchase decisions. Required: make, model, modelYear.
nhtsa_lookup_vehicles(make, limit, offset, modelYear, operation, manufacturer)- Look up valid makes, models, and vehicle types in NHTSA's database. Use to resolve ambiguous vehicle names, find correct make/model spelling, or discover what models a manufacturer produces. Required: operation.
nhtsa_search_complaints(make, limit, model, offset, component, modelYear)- Search consumer safety complaints filed with NHTSA for a specific vehicle. Returns a component breakdown over all matching complaints plus a paginated slice of the most recent complaints. Use for common problems, failure patterns, or owner-reported issues. Required: make, model, modelYear.
nhtsa_search_investigations(make, limit, model, query, offset, status, nhtsaId, component, investigationType)- Search NHTSA defect investigations from the ODI flat file — covering Preliminary Evaluations (PE), Engineering Analyses (EA), Defect Petitions (DP), Recall Queries (RQ), Audit Queries (AQ), and additional ODI types. make, model, and component are structured filters against the investigation record's vehicle associations. All filters are ANDed. Use nhtsaId to fetch one investigation by its exact ID — including the investigationId nhtsa_search_recalls returns for a campaign. Investigations may link to a resulting recall campaign via recallCampaign.
nhtsa_search_recalls(make, model, dateRange, modelYear, campaignNumber)- Search recall campaigns by vehicle or campaign number. Use for specific recall lookups, recall history for a vehicle, or looking up a known campaign number.
Last successful function declaration observed on . Source: https://nhtsa.caseyjhand.com/mcp. We list what the server declared; we do not call any of these functions.
Endpoint status observed on . Source: https://nhtsa.caseyjhand.com/mcp.
Signals
These are separate measurements of different things. They are deliberately not combined into one score, because a popularity number that mixes website traffic with saves and stars cannot be checked or acted on.
| Signal | Value | What it measures | Window | Observed | Source |
|---|---|---|---|---|---|
| GitHub stars | 1 | Number of GitHub accounts that bookmarked this repository since it was created. It is a bookmark count, not installs, not active users and not quality. | cumulative, all time | GitHub | |
| Last commit | 2026-07-30 | Date of the most recent push to any branch. This is the strongest cheap indicator of whether the project is still maintained. | point in time | GitHub | |
| Open issues | 0 | Open issues plus open pull requests, as GitHub counts them together. A high number can mean an active project or an abandoned one. | as of fetch | GitHub | |
| Latest published version | 0.9.4 | Latest version string the maintainer published to the registry. | as of fetch | Model Context Protocol | |
| Registry record last updated | 2026-07-30 | When the registry record was last updated by its maintainer. | point in time | Model Context Protocol | |
| License | Apache-2.0 | Licence GitHub detected in the repository. Detection can be wrong; the LICENSE file is authoritative. | as of fetch | GitHub | |
| First listed in the MCP Registry | 2026-07-30 | Date this server was first published to the official MCP Registry. Not a usage or quality measure. | point in time | Model Context Protocol | |
| repository status | active | The repository exists on GitHub and is not archived. This says nothing about how recently it was worked on. | as of fetch | GitHub | |
| mcp tools declared | 7 tools | Number of functions the server itself declared when asked to list them. This is what the server offers an agent, not a measure of how well any of them work. | as of probe | nhtsa.caseyjhand.com | |
| mcp endpoint status | ok | The server listed 7 functions when asked. | as of probe | nhtsa.caseyjhand.com |
Where to get it
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These share tags the maintainers applied themselves, such as recalls, cyanheads. Common tags like "mcp" or "ai" are ignored for this: agreeing with six hundred other projects is not a similarity.
This is not a recommendation and not a test result. It is a map of what the authors said their work is about.
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How the author describes it
Topics the maintainer set on GitHub: crash-ratings, cyanheads, mcp, mcp-server, model-context-protocol, ncap, nhtsa, recalls, typescript, vehicle-safety, vin-decoder.
This record as data
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