Mercedes-Benz SDKs & Libraries: Official & Community (2026)

SDKs overview

The Mercedes-Benz developer ecosystem provides Software Development Kits (SDKs) and libraries to facilitate interaction with its connected car data APIs. These tools abstract the complexities of direct API calls, offering language-specific methods and data models for integrating vehicle information and services into third-party applications. The primary focus is on enabling developers to access real-time and historical vehicle data, manage charging processes for electric vehicles, and integrate payment solutions directly into automotive contexts.

Mercedes-Benz's approach to SDKs supports various development scenarios, from mobile applications to backend services, by offering client libraries that streamline authentication, request formatting, and response parsing. This ecosystem is designed to support a range of applications, including fleet management systems, usage-based insurance platforms, and advanced in-car services. The official developer portal provides detailed documentation and interactive explorers for the available APIs, such as the Mercedes-Benz Car Data Platform API, which aggregates data from multiple vehicle sensors and systems.

While Mercedes-Benz offers official documentation and code examples, the availability of fully-fledged, officially maintained SDKs varies by programming language and API. In cases where a complete SDK is not provided, developers typically interact directly with the RESTful APIs using standard HTTP client libraries, often guided by the provided Mercedes-Benz API documentation and OpenAPI specifications.

Official SDKs by language

Mercedes-Benz primarily supports developers through comprehensive API documentation and code examples rather than formal, language-specific SDKs for all its APIs. However, specific client libraries or tools may be provided for certain services or programming languages to simplify integration. The official developer portal often features code snippets and example projects in popular languages like Python and JavaScript, which serve as de facto SDKs for common use cases.

For direct API interaction, developers utilize standard HTTP client libraries available in their chosen programming language. The Mercedes-Benz APIs are built on REST principles, returning JSON data, which is a widely supported format across programming environments. Authentication typically involves OAuth 2.0, requiring client credentials and authorization flows, as detailed in the Mercedes-Benz authentication guide.

The following table outlines the status of official SDKs and common integration approaches:

Installation

Since Mercedes-Benz primarily relies on direct REST API interaction supported by standard HTTP client libraries, installation typically involves adding these libraries to your project rather than installing a dedicated Mercedes-Benz SDK package. The specific installation steps depend on your chosen programming language and package manager.

JavaScript/TypeScript (Node.js/Browser)

For JavaScript environments, you can use fetch (built into modern browsers and Node.js versions) or a third-party library like Axios.

npm install axios # For Node.js or browser environments

Python

The Python requests library is a common choice for making HTTP requests.

pip install requests

Java

For Java projects, you might use OkHttp or Spring WebClient. If using Maven, add the dependency to your pom.xml:

<dependency>
    <groupId>com.squareup.okhttp3</groupId>
    <artifactId>okhttp</artifactId>
    <version>4.10.0</version>
</dependency>

For Gradle, add to your build.gradle:

implementation 'com.squareup.okhttp3:okhttp:4.10.0'

PHP

Guzzle is a popular HTTP client for PHP.

composer require guzzlehttp/guzzle

Go

Go's standard library includes the net/http package, which is sufficient for most API interactions, requiring no external installation.

import (
    "net/http"
    "io/ioutil"
)

// ... your code

Quickstart example

This example demonstrates how to fetch vehicle status data using the Mercedes-Benz Car Data Platform API in Python. Before running, ensure you have obtained an access token via the OAuth 2.0 flow, which typically involves exchanging client credentials for a token as outlined in the Mercedes-Benz authentication documentation. Replace YOUR_ACCESS_TOKEN and YOUR_VEHICLE_ID with your actual values.

import requests
import json

# Configuration
ACCESS_TOKEN = "YOUR_ACCESS_TOKEN"  # Replace with your actual access token
VEHICLE_ID = "YOUR_VEHICLE_ID"      # Replace with the VIN or vehicle ID
API_BASE_URL = "https://api.mercedes-benz.com/vehicledata/v2"

# API Endpoint for vehicle status
# Example: Get fuel status, odometer, and tire pressure
# For a complete list of available resources, refer to the Car Data Platform API reference:
# https://developer.mercedes-benz.com/apis/car-data-platform-api

# Define the resources you want to fetch
RESOURCES = "fuel,odometer,tirepressure"

HEADERS = {
    "Authorization": f"Bearer {ACCESS_TOKEN}",
    "Accept": "application/json"
}

# Construct the API URL
api_url = f"{API_BASE_URL}/vehicles/{VEHICLE_ID}/resources?resources={RESOURCES}"

print(f"Fetching data from: {api_url}")

try:
    response = requests.get(api_url, headers=HEADERS)
    response.raise_for_status()  # Raise an HTTPError for bad responses (4xx or 5xx)

    data = response.json()
    print("Successfully fetched vehicle data:")
    print(json.dumps(data, indent=2))

    # Example of accessing specific data points
    if "fuel" in data:
        fuel_level = data["fuel"]["value"]
        fuel_unit = data["fuel"]["unit"]
        print(f"\nFuel Level: {fuel_level} {fuel_unit}")

    if "odometer" in data:
        odometer_value = data["odometer"]["value"]
        odometer_unit = data["odometer"]["unit"]
        print(f"Odometer: {odometer_value} {odometer_unit}")

    if "tirepressure" in data:
        for tire, pressure_data in data["tirepressure"].items():
            if isinstance(pressure_data, dict) and "value" in pressure_data:
                pressure_value = pressure_data["value"]
                pressure_unit = pressure_data["unit"]
                print(f"  {tire.replace('_', ' ').title()} Pressure: {pressure_value} {pressure_unit}")

except requests.exceptions.HTTPError as http_err:
    print(f"HTTP error occurred: {http_err}")
    print(f"Response content: {response.text}")
except requests.exceptions.ConnectionError as conn_err:
    print(f"Connection error occurred: {conn_err}")
except requests.exceptions.Timeout as timeout_err:
    print(f"Timeout error occurred: {timeout_err}")
except requests.exceptions.RequestException as req_err:
    print(f"An error occurred: {req_err}")
except json.JSONDecodeError:
    print(f"Failed to decode JSON response: {response.text}")

This Python code snippet illustrates the process of making an authenticated GET request to the Mercedes-Benz Car Data Platform API. It retrieves the fuel level, odometer reading, and tire pressure for a specified vehicle. The requests library simplifies HTTP interactions, while json handles the parsing of the API response. Error handling is included to catch common network and API-related issues, providing robust interaction with the connected car services. Developers should consult the Mercedes-Benz Car Data Platform API documentation for a full list of available resources and their respective data structures.

Community libraries

While Mercedes-Benz primarily focuses on providing direct API access and comprehensive documentation, the developer community often creates and maintains unofficial libraries and wrappers to simplify integration. These community-driven projects can offer language-specific abstractions, helper functions for OAuth 2.0 flows, and simplified data models that align with common development patterns.

Community libraries are typically found on platforms like GitHub, npm, or PyPI. Developers interested in using such libraries should evaluate them based on factors such as their active maintenance, community support, adherence to API specifications, and security practices. It is advisable to review the source code and project activity to ensure compatibility and reliability. Examples of how community-driven APIs are supported can be seen in the broader API ecosystem, such as Google's client libraries which often have community-contributed language support.

As of late 2024, there are no widely adopted, officially recognized community SDKs for the Mercedes-Benz APIs that have achieved significant public endorsement or stability comparable to official offerings from other major API providers. Developers often create their own internal client libraries based on the official OpenAPI specifications provided by Mercedes-Benz, tailoring them to specific project needs. When exploring community solutions, always verify the library's authenticity and ensure it aligns with the official Mercedes-Benz API guidelines to maintain data integrity and security.