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Cardossier MCP Server

Cardossier MCP Server

by Joyall-au

CarDossier Poland Market API — MCP Server

mcp-name: io.github.Joyall-au/cardossier-market-api

License: MIT Python 3.9+ MCP Compatible

An MCP (Model Context Protocol) server that gives AI assistants — Claude, Cursor, Windsurf, and any MCP-compatible agent — real-time access to Polish used car market data via the CarDossier Market API.

What It Does

This server exposes 5 tools that AI agents can call to answer questions like:

  • "What is a 2019 Toyota Corolla worth in Poland right now?"

  • "Has the price of diesel BMWs been rising or falling over the past 6 months?"

  • "How quickly do used Volkswagen Golfs sell in Poland?"

  • "Is a 2020 Audi A4 cheaper in Mazowieckie or Śląskie?"

  • "How much more does an automatic gearbox add to the price of a 2018 Ford Focus?"

Related MCP server: mcp-polish-data

Available Tools

Tool

Description

Credits

get_market_valuation

Average, median, P25 & P75 prices for any make/model/year

8

get_price_history

Monthly price trend for up to 24 months

10

get_market_liquidity

Estimated days-on-market (how fast a car sells)

6

get_valuation_factors

Price impact of gearbox type, fuel type, import status

12

get_regional_pricing

Price comparison across all 16 Polish voivodeships

8

Data source: 1.4M+ active listings from Poland's leading car marketplaces, updated daily.

Vehicle names are resolved automatically — VW Golf, BMW 3 Series / 320d, Mercedes C-Class, Audi A4, XC60 all work; responses show exactly which marketplace models were aggregated. Failed calls are auto-refunded.

🚀 Try It Without a Key

The API serves 5 keyless demo calls per IP per day with full real data, so this server works the moment you install it:

pip install cardossier-mcp-server
cardossier-mcp

For more quota, register free — 50 credits via email OTP, no credit card — and set CARDOSSIER_API_KEY.

Prerequisites

  • Python 3.9+

  • Optional: a CarDossier API key — register for free to get 50 free credits (no credit card required), or purchase a paid package starting at $49 for 5,000 credits

Installation

# From PyPI (recommended)
pip install cardossier-mcp-server

# Or from source
git clone https://github.com/Joyall-au/cardossier-mcp-server.git
cd cardossier-mcp-server
pip install mcp requests

Usage

1. (Optional) Set your API key

export CARDOSSIER_API_KEY="your_api_key_here"   # omit to use the keyless demo tier

2. Run the server

cardossier-mcp
# or from a source checkout: python mcp_server.py

3. Connect to Claude Desktop

Add the following to your Claude Desktop config file:

macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
Windows: %APPDATA%\Claude\claude_desktop_config.json

{
  "mcpServers": {
    "cardossier": {
      "command": "cardossier-mcp",
      "env": {
        "CARDOSSIER_API_KEY": "your_api_key_here"
      }
    }
  }
}

4. Connect to Cursor or Windsurf

Add to your MCP settings:

{
  "cardossier": {
    "command": "cardossier-mcp",
    "env": {
      "CARDOSSIER_API_KEY": "your_api_key_here"
    }
  }
}

Example Interactions

Once connected, you can ask your AI assistant:

"What's the current market value of a 2020 BMW 3 Series diesel in Poland?"

The agent will call get_market_valuation with make=BMW, model=3 Series, year=2020, fuel_type=diesel and return the statistical distribution of prices.

"Show me how Toyota Corolla prices have changed over the last year"

The agent will call get_price_history with months=12 and return a monthly price trend.

"Compare used Skoda Octavia prices across Polish regions"

The agent will call get_regional_pricing and return a breakdown by voivodeship.

API Reference

Full API documentation: car-dossier.com/en/api/docs
OpenAPI 3.1 spec: car-dossier.com/openapi.yaml
FAQ: car-dossier.com/en/api/faq/

Pricing

The CarDossier Market API uses a pay-as-you-go credit system. Credits never expire.

Free Trial: Register at car-dossier.com/en/api/pricing to receive 50 free credits instantly — no credit card required. Enough for ~6 market valuation calls.

Package

Price

Credits

~Valuation calls

Free Trial

$0

50

~6

Starter

$49

5,000

~625

Growth

$129

15,000

~1,875

Pro

$299

40,000

~5,000

Business

$699

100,000

~12,500

Start for free — get 50 credits →

License

MIT License — see LICENSE for details.

About

Built by CarDossier — Poland's leading vehicle history and market data platform.

Available Tools

5 tools
get_market_liquidityA

Get estimated days-on-market (DOM) showing how fast this car typically sells in Poland. Costs 6 credits per call; failed calls are auto-refunded.

Inputs: make (required), year (required), model (required). Returns: result

get_market_valuationA

Get average, median, P25, and P75 prices for a specific make/model/year in Poland. Natural names work: 'VW Golf', 'BMW 3 Series' or '320d', 'Mercedes C-Class', 'Audi A4', 'XC60'. Optional filters: fuel_type (petrol/diesel/hybrid/electric/lpg or Polish values), gearbox (manual/automatic), mileage (km, matches a ±30% band). Costs 8 credits per call; failed calls are auto-refunded.

Inputs: make (required), year (required), model (required), gearbox, +2 more. Returns: result

get_price_historyA

Get monthly average price trend for up to 24 months to identify depreciation curves. Costs 10 credits per call; failed calls are auto-refunded.

Inputs: make (required), year (required), model (required), months. Returns: result

get_regional_pricingA

Compare average prices across Polish voivodeships vs. the national average. Costs 8 credits per call; failed calls are auto-refunded.

Inputs: make (required), year (required), model (required). Returns: result

get_valuation_factorsA

Quantify the price impact of import status, gearbox type, and fuel type for this car. Costs 12 credits per call; failed calls are auto-refunded.

Inputs: make (required), year (required), model (required). Returns: result

Tool Schema Changelog

Recent tool additions, removals, and schema changes observed during successful MCP inspections.

Loading tool schema changelog…

    TDQS

    A4.2/5.0

    Scored across 5 tools

    Disambiguation5/5

    Each tool targets a distinct aspect of car market data: price trends, statistical valuation, liquidity, factor impacts, and regional comparisons. Descriptions clearly differentiate the outputs, leaving no ambiguity about which tool to call.

    Naming Consistency5/5

    All tools follow the exact same verb_noun pattern with 'get_' prefix and a clear noun phrase, making the API predictable and easy to navigate.

    Tool Count5/5

    Five tools is a well-scoped size for a car market data server, covering the essential dimensions without bloat or missing core functionality.

    Completeness5/5

    The surface covers the full lifecycle of market analysis: historical trends, current valuation, liquidity, factor impacts, and regional variance. There are no obvious dead ends for the stated purpose of car price intelligence.

    Maintenance

    ActivityInactive
    ResponsivenessOutdated data

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