Carvector MCP server

by carvectorio·io.github.carvectorio/carvector-mcp·v1.1.1·1 stars

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Vehicle specs, federal recalls, complaints, TSBs, investigations and OBD-II DTC data for AI agents.

B80/100grade B

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Safety scan

B80/100

full report

Adoption

Growing

1 stars104 downloads/wk

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If you have run it, two minutes of your experience saves the next person an afternoon.

Carvector tools (7)

write = sends, deletes, buys or posts

Read from the package source without running it. The installed server may list more.

get_complaints
Get the owner-complaint signal for a vehicle by its id: an aggregate (totals by component and year, plus crash/fire/injury counts) and the most-recent complaints. Requires a Pro plan or higher.
get_investigations
Get federal defect investigations for a vehicle by its id — a leading indicator that often precedes recalls. Returns each action with subject, component, open/close dates, and status. Requires a Business plan or higher.
get_recalls
Get federal recall campaigns for a vehicle by its id. Returns each campaign with component, summary, consequence, and remedy.
get_tsbs
Get the manufacturer technical service bulletin (TSB) index for a vehicle by its id — bulletin metadata (id, date, type, affected components, summary), not the documents themselves. Requires a Business plan or higher.
get_vehicle
Get full specifications for one vehicle by its id (an opaque token returned by search_vehicles). Returns engine, drivetrain, body details, a representative image, and recall count.
lookup_dtc
Look up an OBD-II diagnostic trouble code (e.g. P0420). Returns the code title, category, severity, and safety/emissions flags. Reference only — does not include repair cost estimates.
search_vehicles
Search the CarVector catalog by year, make, and/or model. Returns matching vehicles with their id and specs. Use this first to resolve a vehicle id, then call get_vehicle or get_recalls with that id.

Public scan report

scanner v0.1.10 · 2026-10-02 · same rubric, same numbers if you re-run it

no findings

Code scan2 source files scanned25/25
–Live reliabilityno gateway calls yet and no remote to proben/a
–Tool poisoningtools not inspected (local package is not executed); not countedn/a
Auth qualitystatic API keys via environment variables6/15
Maintenancelast push 14 days ago15/15
Maintainer identityregistry namespace matches repository owner6/10

Overall 80/100. Components that don't apply are left out of the denominator. Any critical finding is an F.Rubric Appeal a finding JSON

How Carvector compares

Against every graded MCP server, from our own scans and uptime checks. Updated after each scan run.

Safety score: 80/100; higher than 60% of 48,255 servers
Tools: 7; the typical server has 7
Tools that change things: 0%; typical: 0%. Fewer write tools means less an agent can break
GitHub stars: 1; more than 65% of 28,688 servers
Downloads a week: 104; more than 64% of 12,191 servers with a package

What its tools let an agent do: 7 read

Release history: 2 versions in the registry since 2026-05-28, latest 2026-09-19, typically one every 114 days.

Install Carvector in Claude Code, Cursor or VS Code

Runs npx -y carvector-mcp on your machine. Read the scan report first; the gateway never runs local packages.

claude mcp add carvector-mcp -- npx -y carvector-mcp

Add to Cursor

What the publisher says

From the Carvector repository's README, as published. We do not edit it. Read it on GitHub

carvector-mcp

Give your AI agent real vehicle data. An MCP server that lets Claude, Cursor, ChatGPT, or any MCP-capable client query the CarVector API natively — vehicle specs, representative images, federal recalls, owner complaints, service bulletins, defect investigations, and OBD-II diagnostic trouble codes.

Models hallucinate car data. They invent horsepower numbers, miss recalls filed last week, and guess at what a trouble code means. carvector-mcp gives your agent structured, sourced answers it can cite instead of a confident guess.

npx -y carvector-mcp --key cv_your_key

· MIT · Free tier, no card → carvector.io

Quickstart

1. Get a free API key at carvector.io — 500 requests a month, no credit card.

2. Add it to your MCP client. Most clients use an mcpServers block:

{
  "mcpServers": {
    "carvector": {
      "command": "npx",
      "args": ["-y", "carvector-mcp"],
      "env": { "CARVECTOR_API_KEY": "cv_your_key" }
    }
  }
}

That's it. Restart your client and ask it about a vehicle.

Prefer a remote server? If your client supports HTTP MCP, skip the install and point it straight at the hosted endpoint:

json

{ "mcpServers": { "carvector": {

"url": "https://api.carvector.io/v1/mcp",

"headers": { "Authorization": "Bearer cvyourkey" } } } }

Tools

The agent chains them naturally: searchvehicles to resolve an id, then getvehicle, getrecalls, getcomplaints, gettsbs, or getinvestigations.

Example

You: "Is a P0300 code serious?"

→ carvector.lookup_dtc({ code: "P0300" })
{
  "code": "P0300",
  "title": "Random/Multiple Cylinder Misfire Detected",
  "category": "Powertrain",
  "severity": "High",
  "safety_risk": true,
  "emissions_related": true
}

Your agent answers: "Yes — P0300 is a high-severity, safety-related misfire code. Don't keep driving on it." Sourced, not guessed.

Three things to build with it

A service-advisor copilot that pulls a customer's exact trim, open recalls, the manufacturer's documented fix (TSBs), the complaint pattern behind a symptom, and a decoded check-engine code — in one turn, no tab-switching.
A consumer car chatbot that answers "what engine does my truck have" and "is it under recall" with real data instead of a hallucination.
A coding/automotive agent that needs structured vehicle knowledge as a tool, not a wall of scraped text to parse.

Paying per call instead of using a key (x402)

The CarVector HTTP API also accepts x402 payments, so an agent with a wallet can call it with no account, no signup and no API key — it pays per request and gets the data back.

(USDC 0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913)

$0.01 USDC per call, on Base mainnet

pay and retry:

Request a paid endpoint without payment and you get an HTTP 402 with everything needed to

Shortened. The full README is on GitHub.

Nothing above is checked by us. What we check is on the safety report.

Carvector: common questions

Is Carvector MCP server safe?: Mostly: it is graded B (80/100). Read the Carvector safety report
How do I install Carvector?: It runs on your machine. Copy the Claude Code, Cursor, VS Code or Claude Desktop config from the install section.
Does Carvector need an API key?: Yes. The registry entry asks for CARVECTOR_API_KEY.
Is Carvector maintained?: The last commit was 46 days ago (2026-09-19). The latest release is v1.1.1.
How does Carvector compare with other MCP servers?: safety score 80/100 (higher than 60% of 48,255 servers); tools 7 (the typical server has 7); tools that change things 0% (typical: 0%. Fewer write tools means less an agent can break). Full comparison.