MCP server

CarGene Official

com.car-gene/genealogy

Checked 26 Oct 2026, 08:29 UTC · Connected to it and listed its tools

Japanese car genealogy with sources: generations, developers, and sales figures. Read-only.

Website

At a glance

Type

MCP server

Publisher

car-gene.com (verified by the MCP Registry)

Status

Working at last check

Tools

8

Token cost

About 5,729 tokens per request

Sets up in

Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok

Last checked

26 Oct 2026, 08:29 UTC

Connect it to your agent

Add to CursorAdd to VS CodeVS Code Insiders

Opens the app, which shows the server and asks you to confirm. For other apps, copy the setup below.

Claude Code

claude mcp add --transport http genealogy https://api.car-gene.com/mcp

Claude Desktop

Settings → Connectors → Add custom connector, and paste the URL.

Codex (config.toml)

[mcp_servers.genealogy]
url = "https://api.car-gene.com/mcp"

Gemini CLI

{"mcpServers":{"genealogy":{"httpUrl":"https://api.car-gene.com/mcp"}}}

Cursor

{"mcpServers":{"genealogy":{"url":"https://api.car-gene.com/mcp"}}}

VS Code

{"servers":{"genealogy":{"type":"http","url":"https://api.car-gene.com/mcp"}}}

Antigravity

agy mcp add genealogy https://api.car-gene.com/mcp

ChatGPT

Settings → Apps & Connectors → Advanced settings: turn on Developer mode, then Create a connector and paste the URL. Which plans can do this varies.

OpenAI API (Responses tools)

{"type":"mcp","server_label":"genealogy","server_url":"https://api.car-gene.com/mcp","require_approval":"always"}

Grok (xAI API tools)

{"type":"mcp","server_label":"genealogy","server_url":"https://api.car-gene.com/mcp"}

Tools

• check_part_fitment ~1229 tokens
  Use this when the user asks whether an aftermarket part (wheel, coilover, muffler, brake pad, intake and so on) fits a specific car generation, or which parts are confirmed to fit it. Pass the model_id of that generation from search_vehicles. Returns {model, url, total, parts, next_offset}. parts li
• get_sales_figures ~688 tokens
  Get the sales figures of a series. Without region_code it returns the overview {series_id, url, region_totals, lifetime, coverage, regions}; with region_code it returns that region year by year {series_id, url, region_code, region_totals, coverage, cells, figures, next_year_from}. region_totals sum
• get_us_import_eligibility ~575 tokens
  Use this when the user asks when a Japanese car can be imported into the United States under the twenty-five-year rule, for example whether a Skyline GT-R of a given generation is legal to import yet. First find the car with search_vehicles, then pass its model_id (or series_id for each generation o
• get_vehicle ~470 tokens
  Get one series with the list of its generations (models) and the cited sources, and with a model_id also that generation in detail. Returns {series, maker, models, sources}, plus model when a model_id is given. Each entry in models has id, name, chassis_code, start_year, end_year (null = still on sa
• get_vehicle_relationships ~432 tokens
  Get the relationships between generations (succession, sibling, derivation, spiritual successor). A series_id returns the relations of the whole series; a model_id returns only the relations that have that generation at either end. Returns {series_id, url, total, relations, next_offset}, plus model_
• search_shops ~1115 tokens
  Use this when someone looks for a place in Japan to have a car service done, such as a vehicle inspection (shaken), a self-service or hand car wash, a coating, a wheel alignment, or fitting coilovers, near a city or a point. Do not use it for car history or parts; use the other skills. Returns only
• search_used_cars ~881 tokens
  Use this when someone wants to buy a used car in Japan, or asks for a used car that fits a budget, a model year, mileage or a manual transmission. To narrow to a specific car, first find its generation with search_vehicles and pass model_id (or series_id for any generation of a series). Returns the
• search_vehicles ~339 tokens
  Find series by name, maker name, a generation's name, or a generation's chassis code. Series names match by normalized substring (width, case, kana), maker names by prefix, chassis codes by substring of the code as written (a slash-joined code is one string, not split). A generation matched by its n

Browse

• Booking and scheduling
• Payments
• Legal research

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