autoria-mcp
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@autoria-mcpFind me used BMW 5 Series in Kyiv with mileage under 100k km."
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
autoria-mcp
An MCP server that exposes the
AUTO.RIA used-cars REST API (auto.ria.com, via developers.ria.com) to AI
agents — programmatic, agent-friendly access to the Ukrainian used-car market
through the sanctioned API, no scraping.
The full tool surface is live — 30 tools, 7 dictionary resources, and 1 templated resource: curated search/lookup tools (single and batch listing details), paid statistics tools, thin endpoint mirrors, and browsable dictionary resources, all backed by tiered caching and a typed async client.
Features
Curated, high-level tools that take human-friendly inputs (brand, model, region, year/price ranges) and resolve them to AUTO.RIA's numeric IDs for you.
Paid statistics tools (AI average price, price-over-time, VIN decode) that fail fast with a clear error when
AUTORIA_USER_IDis unset — no wasted quota.Thin endpoint mirrors for the long-tail dictionary/lookup endpoints.
Dictionary resources — browse categories, colours, regions, etc. as addressable
autoria://dict/...documents.Aggressive, tiered caching: large slow-changing dictionaries are cached on disk for 7 days (name→ID resolution costs no quota after the first fetch), while volatile search/statistics responses are cached briefly, in memory only.
stdio and streamable-HTTP transports.
Related MCP server: Smartcar MCP Server
Install
Requires Python 3.11+. The package is distributed on PyPI; run it without a
manual install using uvx:
uvx autoria-mcpOr install into a tool environment with pipx / uv tool:
uv tool install autoria-mcp # or: pipx install autoria-mcpQuickstart: Claude Desktop (no coding required)
Want to use AUTO.RIA from the Claude desktop app? Follow these steps — no programming needed, just some copy-and-paste. Pick your platform: macOS · Windows.
macOS
1. Install uv (the small tool that runs autoria-mcp for you). Open the
Terminal app and paste this, then press Enter:
curl -LsSf https://astral.sh/uv/install.sh | sh(Full instructions: https://docs.astral.sh/uv/getting-started/installation/.)
2. Get a free AUTO.RIA API key at https://developers.ria.com. Keep it handy.
A user_id is optional — you only need it for the paid price-statistics tools.
3. Find the full path to uvx. The desktop app can't see your Terminal's
settings, so it needs the full path. In Terminal, run:
which uvxCopy what it prints — usually /opt/homebrew/bin/uvx (Apple-Silicon Mac) or
/usr/local/bin/uvx (Intel Mac).
This is the #1 reason setup fails. If you use just
uvxinstead of the full path, the app says it can't find it. Always paste the full path fromwhich uvx.
4. Open Claude Desktop's config file. In the Claude app: Settings →
Developer → Edit Config. This opens a file called claude_desktop_config.json
(on macOS it lives at
~/Library/Application Support/Claude/claude_desktop_config.json).
5. Add the autoria server. Paste the block below. If the file already has a
"mcpServers" section, add "autoria" inside it next to your other servers;
otherwise paste the whole thing. Replace the two placeholder values:
{
"mcpServers": {
"autoria": {
"command": "/opt/homebrew/bin/uvx",
"args": ["autoria-mcp"],
"env": { "AUTORIA_API_KEY": "paste-your-api-key-here" }
}
}
}command→ the full path from step 3.AUTORIA_API_KEY→ your key from step 2.For the paid tools (average price, VIN lookup), add
"AUTORIA_USER_ID": "..."toenv— put a comma after the API-key line when you do, e.g."env": { "AUTORIA_API_KEY": "...", "AUTORIA_USER_ID": "..." }.
Save the file.
6. Fully quit and reopen Claude. Press Cmd + Q (just closing the window
isn't enough), then open Claude again. The first start takes a few seconds
while it downloads the tool; after that it's instant.
7. Try it. Ask Claude something like: "Use autoria to find used BMW 3 Series cars in Kyiv and show me a few with prices."
Heads-up on limits: the free AUTO.RIA key allows roughly 30 requests/hour and 1000/month — so ask focused questions rather than broad ones.
If autoria doesn't show up after restarting, the log file usually says why:
tail -50 ~/Library/Logs/Claude/mcp-server-autoria.logMost common fixes: use the full uvx path (step 3), and make sure you
fully quit Claude with Cmd + Q.
Windows
The same flow on Windows — the commands and a couple of Windows-only gotchas differ from macOS.
1. Install uv (it ships the uvx command that runs autoria-mcp). Open
PowerShell and run either:
powershell -ExecutionPolicy ByPass -c "irm https://astral.sh/uv/install.ps1 | iex"or, if you use winget:
winget install --id=astral-sh.uv -eThen open a new terminal window so the updated PATH takes effect.
(Full instructions: https://docs.astral.sh/uv/getting-started/installation/.)
2. Get a free AUTO.RIA API key at https://developers.ria.com. Keep it
handy. A user_id is optional — you only need it for the paid price-statistics
tools.
3. Find the full path to uvx.exe. The desktop app can't see your terminal's
PATH, so it needs the full path. In PowerShell, run:
Get-Command uvx | Select-Object -ExpandProperty Sourceor in Command Prompt (cmd):
where.exe uvxCopy what it prints — usually C:\Users\<you>\.local\bin\uvx.exe.
In PowerShell, use
where.exe, notwhere. Plainwhereis an alias forWhere-Objectand won't find the executable.
This is the #1 reason setup fails. If you use just
uvxinstead of the full path, the app says it can't find it. Always paste the full path from step 3.
4. Open Claude Desktop's config file — use the in-app button. In the Claude
app: Settings → Developer → Edit Config. This opens the correct
claude_desktop_config.json for your install.
Don't hand-edit the
%APPDATA%file. The documented location is%APPDATA%\Claude\claude_desktop_config.json(=C:\Users\<you>\AppData\Roaming\Claude\claude_desktop_config.json), but the Microsoft Store / MSIX build of Claude virtualizes that folder — it actually reads from%LOCALAPPDATA%\Packages\Claude_pzs8sxrjxfjjc\LocalCache\Roaming\Claude\claude_desktop_config.json. Editing the plain%APPDATA%copy then makes your MCP servers silently fail to load. The Edit Config button always opens the right file — use it.
5. Add the autoria server. Paste the block below. If the file already has a
"mcpServers" section, add "autoria" inside it next to your other servers;
otherwise paste the whole thing. On Windows, backslashes in JSON must be
doubled (\\) — or use forward slashes (C:/Users/you/.local/bin/uvx.exe):
{
"mcpServers": {
"autoria": {
"command": "C:\\Users\\you\\.local\\bin\\uvx.exe",
"args": ["autoria-mcp"],
"env": { "AUTORIA_API_KEY": "paste-your-api-key-here" }
}
}
}command→ the full path from step 3, with doubled backslashes.AUTORIA_API_KEY→ your key from step 2.For the paid tools (average price, VIN lookup), add
"AUTORIA_USER_ID": "..."toenv— put a comma after the API-key line when you do, e.g."env": { "AUTORIA_API_KEY": "...", "AUTORIA_USER_ID": "..." }.
Save the file. A ready-to-edit copy is at
examples/claude_desktop_config_windows.json.
Prefer not to keep your key in the config? Omit the
envblock and instead putAUTORIA_API_KEYin a.envfile in the working directory, or set it as a Windows user/system environment variable.
6. Fully restart Claude. Right-click the Claude icon in the system tray (near the clock) and choose Quit — just closing the window isn't enough — then open Claude again. The first start takes a few seconds while it downloads the tool; after that it's instant.
7. Try it. Ask Claude something like: "Use autoria to find used BMW 3 Series cars in Kyiv and show me a few with prices."
The same limits and most-common
fixes apply: use the full uvx.exe path (step 3), edit the config via the
in-app button (step 4), and fully quit from the tray (step 6). Logs are at
%APPDATA%\Claude\logs\mcp-server-autoria.log.
Configuration
All settings are read from environment variables (prefix AUTORIA_) or a local
.env file. Copy .env.example to .env and fill in your key.
Variable | Default | Description |
| — (required for API calls) | Personal API key from https://developers.ria.com. Never logged. |
| — | User id, required only by the paid POST endpoints. |
|
|
|
|
| Bind host for the HTTP transport. |
|
| Bind port for the HTTP transport. |
|
| API host (only the production host is documented). |
|
| On-disk dictionary cache location. |
|
| Default dictionary cache TTL, in seconds. |
|
| Memory-only TTL for volatile search/statistics responses. |
|
| Max entries per in-memory cache tier (bounded LRU). |
|
| Retry attempts on |
|
| Base backoff delay, in seconds. |
|
| Max delay for a single backoff sleep, in seconds. |
|
| Assumed hourly quota; usage warns near it (never blocks). |
|
| Assumed monthly quota; usage warns near it (never blocks). |
|
| Warn once usage crosses this fraction of a window limit. |
|
| Package log level. |
The API key is held in a SecretStr and never written to logs.
Running
# stdio (default) — how MCP clients launch it
autoria-mcp
# streamable-HTTP
autoria-mcp --transport http --host 127.0.0.1 --port 8000
# or
AUTORIA_TRANSPORT=http autoria-mcpSee examples/ for ready-to-paste MCP client configs (Claude
Desktop and a generic stdio client).
Quota guidance
The AUTO.RIA free package is metered per API key across all RIA web services and the limits are tight:
~1000 requests / month
30 requests / hour (rolling); exceeding either returns
429 OVER_RATE_LIMITand temporarily blocks the key.
There are no X-RateLimit-* response headers, so the client tracks usage
locally (Phase 3). Treat every live call as spending scarce quota: the dictionary
endpoints are cached aggressively, and search/statistics responses should not be
re-fetched needlessly.
Tool catalog
Curated tools — natural inputs (names, ranges), resolved to IDs for you:
Tool | Description |
| Search by brand/model/region/year/price/engine-volume/power/generation/etc.; returns the match |
| Compact details for one advert id: price, year, mileage, structured engine volume/power, labelled body/fuel/gearbox, plus |
| Details for up to 50 advert ids in one call (deduped; a dead id returns a sparse entry). |
| List passenger-car brands, or resolve one brand name to its id. |
| List a brand's models, or resolve one model name to its id. |
| List regions (oblasts), or resolve one region name to its id. |
| List a region's cities, or resolve one city name to its id. |
Paid tools (require AUTORIA_USER_ID; fail fast with a clear error otherwise):
Tool | Description |
| AI average price + comparable listings (by params or |
| Monthly average-price time series. |
| Decode a VIN / plate / advert id into car-parameter chips. |
Thin mirrors (raw passthrough, 7-day cached): list_categories,
list_all_models, list_models_grouped, list_generations, list_modifications,
list_modifications_by_body, list_equipment, list_options, list_options_v2,
list_colors, list_countries, list_drive_types, list_fuel_types,
list_gearboxes, list_body_styles, list_body_styles_grouped,
list_all_body_styles, list_bodies_by_generation, and raw_search (raw V1
search; compact {count, ids} by default, verbose=True for the full payload).
Resources: autoria://dict/{categories,colors,countries,fuel-types,gearboxes, body-styles,states} and the templated autoria://dict/models/{categoryId}/{markId}.
Health: ping — zero-quota liveness/diagnostic check.
Attribution
AUTO.RIA's API terms require a visible link back to auto.ria.com wherever you
display data sourced from the API. get_car_details and the paid endpoints include
a canonical per-listing deep link (url); keep it visible in whatever surface
presents a listing to an end user. (search_used_cars returns only ids + a count —
the Public API specifies no set-level search link, so none is invented.)
Known limitations
These are deliberate scope/behaviour choices worth knowing before you rely on them:
Single brand/model per search. Multi-brand or multi-model search is not yet modelled by
search_used_cars. For OR-style queries across several brands, drop toraw_searchand pass the raw V1 params yourself.Search returns ids, not full listings.
search_used_carsgives you advert ids and acount. Fetch per-listing detail withget_car_details(orget_car_details_batchfor a whole page of ids) — each lookup spends quota, so resolve only what you need.Search is V1-only and silently ignores unknown params — a genuine footgun. The underlying
/auto/searchendpoint does not validate filter keys: a misspelt or unsupported param is dropped, and the search quietly widens to the whole site instead of erroring. The curated tool resolves names to the correct V1 ids to avoid this, butraw_searchpasses your params through verbatim.Paid POST errors arrive as HTTP 200. The paid endpoints return errors in the body (
noticeType: "error") with a 200 status; the paid tools detect and surface these as tool errors.get_average_price_over_periodsaccepts onlyperiod ∈ {30, 90, 180, 365}.
Development
uv sync # create venv + install deps (incl. dev group)
uv run ruff check . # lint
uv run ruff format --check . # format check
uv run mypy # strict type check (src + tests)
uv run pytest # tests (no network)
pre-commit install # enable git hooksThe OpenAPI 3.1 description lives in
openapi/autoria-used-cars.yaml.
Roadmap
✅ Phase 1 — OpenAPI spec, live-verified API facts.
✅ Phase 2 — repo scaffold, tooling, CI, packaging, runnable server.
✅ Phase 3 — typed async client, TTL dictionary cache, name→ID resolution, recorded-fixture tests (zero live quota).
✅ Phase 4 — curated + paid + thin tools, dictionary MCP resources.
✅ Phase 5 — docs, examples, first PyPI release (
0.1.0).
Post-1.0 backlog (not scheduled): native multi-brand / multi-model search;
per-endpoint cache TTLs; a cross-process quota lock (current accounting is
per-process, warn-only); an npx shim for Node-based MCP clients.
License
MIT. This is an unofficial project and is not affiliated with or endorsed by RIA.com / AUTO.RIA.
Maintenance
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