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cardossier-market-api

cardossier-market-api

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github.com/Joyall-auBusiness & Marketing0Updated 13w ago

About cardossier-market-api

cardossier-market-api is an MCP server for AI assistants that provides Polish used-car data through the CarDossier Market API. It covers valuations, price trends, sales liquidity, regional prices, and vehicle factors, with keyless demo calls available.

Key features

  1. 01Get average, median, and percentile prices
  2. 02View price trends for up to 24 months
  3. 03Estimate days required to sell a car
  4. 04Compare prices across Polish regions
  5. 05Analyze gearbox, fuel, and import price effects

Use cases

  1. 01Estimate a model and year’s market value in Poland
  2. 02Track monthly used-car price changes
  3. 03Compare a model’s prices across regions
  4. 04Assess how vehicle specifications affect price

MCP support

The MCP server exposes five tools for querying Polish used-car market data to compatible clients.

Configuration

Local server config is the same for every client. Copy it into your client’s MCP config file.

mcp.json · Universal config
{
"mcpServers": {
"joyall-au-cardossier-market-api": {
"command": "uvx",
"args": [
"cardossier-mcp-server"
],
"env": {
"CARDOSSIER_API_KEY": "<CARDOSSIER_API_KEY>"
}
}
}
}
Run commanduvx cardossier-mcp-server
Environment variables to set
CARDOSSIER_API_KEYSecretOptional CarDossier API key. Without it the keyless demo tier serves 5 calls/day. Get a free key (50 credits) at https://car-dossier.com/en/api

Local servers need a runtime on your machine (e.g. Node.js 18+). Config file locations differ by client; see your client’s docs.

Packages
pypicardossier-mcp-server1.0.4

Tools

5

Saved tool list · updated 2w ago

ParameterTypeRequiredDescription
makestringYes
yearintegerYes
modelstringYes
gearboxanyNo
mileageanyNo
fuel_typeanyNo

Details

From the project README

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?"

Available Tools

ToolDescriptionCredits
get_market_valuationAverage, median, P25 & P75 prices for any make/model/year8
get_price_historyMonthly price trend for up to 24 months10
get_market_liquidityEstimated days-on-market (how fast a car sells)6
get_valuation_factorsPrice impact of gearbox type, fuel type, import status12
get_regional_pricingPrice comparison across all 16 Polish voivodeships8

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.

PackagePriceCredits~Valuation calls
Free Trial$050~6
Starter$495,000~625
Growth$12915,000~1,875
Pro$29940,000~5,000
Business$699100,000~12,500

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.

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An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.