Introduction
The Multi-purpose Communication Platform (MCP) server is the backbone of theBarcodeAPI.com, providing robust and scalable services for various AI-powered tasks, including barcode generation and scanning. Users might want to connect to it remotely to integrate these functionalities directly into their own applications, automate processes, or build custom solutions.
Using `thebarcodeapi.com` for remote connections offers several benefits:
- Simplified Integration: Access powerful barcode functionalities through a simple HTTP API.
- Scalability: Rely on our robust infrastructure to handle your requests, from small projects to enterprise-level applications.
- Cross-Platform Compatibility: Connect from any platform or programming language that supports HTTP requests.
- Focus on Your Core Logic: Offload complex barcode processing to our specialized servers and focus on your application's unique features.
Connecting via MCP (Model Context Protocol)
For integrating with AI assistants or more complex workflows, the Model Context Protocol (MCP) is the recommended method. The MCP communication method is via an HTTP streaming endpoint, which provides efficient, bidirectional communication.
The MCP endpoint is:
- HTTP Stream:
/api/v1/mcp-server/mcp
These paths are distinct from the standard HTTP REST API endpoints (like /api/barcode/generate
) which are used for direct barcode generation requests. While some basic interactions with the MCP server might be possible without an API key during development, providing one in your request headers (e.g., Authorization: Bearer YOUR_API_KEY
or X-API-Key: YOUR_API_KEY
) is crucial for production use to identify your application and manage your usage quotas and rate limits.
MCP allows for a richer interaction model, where an AI assistant can call various tools provided by the server. Below is a conceptual example of a JSON payload for an MCP `tools/call` request used with the HTTP streaming endpoint, specifically for the `generate_barcode` tool:
MCP `tools/call` JSON Example (for HTTP Stream)
{
"jsonrpc": "2.0",
"method": "tools/call",
"params": {
"name": "generate_barcode",
"version": "1.0.0",
"arguments": {
"data": "Hello from MCP",
"format": "QRCODE",
"width": 200,
"height": 200,
"image_format": "PNG",
"show_text": false
}
},
"id": "call_YAgP8AgYLp5sVybdy0MvL1Co"
}
This example illustrates how parameters for barcode generation are passed. The structure follows JSON-RPC 2.0 for HTTP streaming.
Client Configuration Examples
Below are examples of how to configure various clients or tools to connect to the MCP server. We primarily show connection to the recommended HTTP streaming endpoint (/api/v1/mcp-server/mcp
). When an API key (often referred to as a token in contexts like “Bearer Token”) is used via the Authorization
header, it’s for identifying you to the MCP server, primarily for usage tracking and applying appropriate rate limits based on your plan. While this public demonstration API might not strictly enforce a key for all interactions, it’s good practice to include it as shown in the examples if you have one.
VSCode `settings.json` (HTTP MCP)
This configuration defines the MCP server using the HTTP streaming endpoint.
"mcp": {
"servers": {
"theBarcodeAPI": {
"type": "http",
"url": "https://api.thebarcodeapi.com/api/v1/mcp-server/mcp"
}
}
}
VSCode `settings.json` (HTTP with Token)
Example of how to include an API key using the Authorization header.
"mcp": {
"servers": {
"theBarcodeAPI_HTTP_Token": {
"type": "http",
"url": "https://api.thebarcodeapi.com/api/v1/mcp-server/mcp",
"headers": {
"Authorization": "Bearer YOUR_TOKEN_HERE"
}
}
}
}
The Authorization
header provides your API key (token), linking requests to your usage limits and plan.
Connecting with C# (Visual Studio)
This section provides a step-by-step guide to connect to `thebarcodeapi.com` using C# in Visual Studio. We'll demonstrate how to make a POST request to generate a barcode.
Prerequisites
- .NET Core SDK or .NET Framework (typically included with Visual Studio).
- Visual Studio IDE.
- A basic understanding of C# and asynchronous programming.
- For older .NET Framework versions, you might need to install `Newtonsoft.Json` via NuGet for JSON handling. For .NET Core and .NET 5+, `System.Text.Json` is built-in. We will use `System.Net.Http.Json` for simplicity in this example, which is available in modern .NET versions.
- Your API Key from theBarcodeAPI.com (replace "YOUR_API_KEY" in the code).
Step-by-Step Guide
- Create a new Project: Open Visual Studio and create a new Console App (.NET Core or .NET).
- Write the Code: Copy and paste the C# code snippet below into your `Program.cs` file.
- Replace API Key: Update the `apiKey` variable with your actual API key.
- Run the Application: Execute the code. It will make a POST request to the barcode generation endpoint and print the response (which could be an image URL or binary data depending on the API).
C# Code Example
using System;
using System.Net.Http;
using System.Net.Http.Headers;
using System.Net.Http.Json; // Requires .NET 5+ or System.Net.Http.Json NuGet package
using System.Text;
using System.Text.Json; // For older .NET, use Newtonsoft.Json
using System.Threading.Tasks;
public class BarcodeGenerator
{
private static readonly HttpClient client = new HttpClient();
public static async Task Main(string[] args)
{
string apiKey = "YOUR_API_KEY"; // Replace with your actual API key
string apiUrl = "https://api.thebarcodeapi.com/api/barcode/generate";
var payload = new
{
text = "Hello from C#",
format = "qrcode", // e.g., qrcode, code128, ean13
scale = 3,
rotate = "N", // N, R, L
background = "#ffffff",
foreground = "#000000"
};
try
{
client.DefaultRequestHeaders.Clear();
client.DefaultRequestHeaders.Add("X-API-Key", apiKey);
client.DefaultRequestHeaders.Accept.Add(new MediaTypeWithQualityHeaderValue("application/json")); // Or "image/png" if you expect direct image
// For .NET Core 3.1 and older, or .NET Framework without System.Net.Http.Json:
// string jsonPayload = JsonSerializer.Serialize(payload);
// HttpContent content = new StringContent(jsonPayload, Encoding.UTF8, "application/json");
// HttpResponseMessage response = await client.PostAsync(apiUrl, content);
// For .NET 5+ with System.Net.Http.Json:
HttpResponseMessage response = await client.PostAsJsonAsync(apiUrl, payload);
response.EnsureSuccessStatusCode();
Console.WriteLine("API Request Successful!");
// Option 1: Get image URL if API returns JSON with URL
// string responseBody = await response.Content.ReadAsStringAsync();
// Console.WriteLine("Response JSON: " + responseBody);
// // Assuming JSON response: {"imageUrl": "...", "format": "..."}
// // var result = JsonSerializer.Deserialize<Dictionary<string, string>>(responseBody);
// // Console.WriteLine("Barcode Image URL: " + result["imageUrl"]);
// Option 2: Save direct image stream (if API returns image/*)
// Ensure your 'Accept' header is 'image/png' or similar
if (response.Content.Headers.ContentType?.MediaType?.StartsWith("image/") == true)
{
var imageBytes = await response.Content.ReadAsByteArrayAsync();
string fileName = $"barcode_{payload.format}.png"; // or jpg, etc.
System.IO.File.WriteAllBytes(fileName, imageBytes);
Console.WriteLine($"Barcode image saved as {fileName}");
}
else
{
// Default: assume JSON response with details or error
string responseBody = await response.Content.ReadAsStringAsync();
Console.WriteLine("Response Body: " + responseBody);
}
}
catch (HttpRequestException e)
{
Console.WriteLine($"Request error: {e.Message}");
if (e.StatusCode.HasValue)
{
Console.WriteLine($"Status Code: {e.StatusCode.Value}");
}
// Optionally read error response body
// if (e.HttpRequestError == HttpRequestError.BadResponse && e.Response != null)
// {
// string errorContent = await e.Response.Content.ReadAsStringAsync();
// Console.WriteLine($"Error Content: {errorContent}");
// }
}
catch (Exception ex)
{
Console.WriteLine($"An unexpected error occurred: {ex.Message}");
}
}
}
Remember to replace "YOUR_API_KEY" with your actual key. The code includes options for handling JSON responses (e.g., an image URL) or direct image data. Adjust the `Accept` header and response processing accordingly.
Connecting with Python
This section demonstrates how to connect to `thebarcodeapi.com` using a Python script. We'll use the popular `requests` library to make a POST request for barcode generation.
Prerequisites
- Python 3.6+ installed.
- The `requests` library. You can install it using pip:
pip install requests
. - Your API Key from theBarcodeAPI.com (replace "YOUR_API_KEY" in the code).
Step-by-Step Guide
- Install `requests`: If you haven't already, open your terminal or command prompt and run `pip install requests`.
- Create a Python file: Create a new file (e.g., `barcode_request.py`).
- Write the Code: Copy and paste the Python code snippet below into your file.
- Replace API Key: Update the `api_key` variable with your actual API key.
- Run the Script: Execute the script from your terminal: `python barcode_request.py`. It will send the request and print the server's response.
Python Code Example
import requests
import json
def generate_barcode():
api_key = "YOUR_API_KEY" # Replace with your actual API key
api_url = "https://api.thebarcodeapi.com/api/barcode/generate"
headers = {
"X-API-Key": api_key,
"Content-Type": "application/json",
# "Accept": "image/png" # Uncomment if you want to receive the image directly
"Accept": "application/json" # Default: expect a JSON response
}
payload = {
"text": "Hello from Python",
"format": "qrcode", # e.g., qrcode, code128, datamatrix
"scale": 3,
"rotate": "N", # N, R, L
"background": "#ffffff",
"foreground": "#000000"
}
try:
response = requests.post(api_url, headers=headers, json=payload)
response.raise_for_status() # Raises an HTTPError for bad responses (4XX or 5XX)
print("API Request Successful!")
# Option 1: Handle JSON response (e.g., if API returns image URL)
if "application/json" in response.headers.get("Content-Type", ""):
data = response.json()
print("Response JSON:", json.dumps(data, indent=2))
# if "imageUrl" in data:
# print(f"Barcode Image URL: {data['imageUrl']}")
# # You can then download the image using data['imageUrl']
# # image_response = requests.get(data['imageUrl'])
# # with open(f"barcode_from_url.{data.get('format', 'png')}", "wb") as f:
# # f.write(image_response.content)
# # print(f"Barcode saved as barcode_from_url.{data.get('format', 'png')}")
# Option 2: Handle direct image response
elif response.headers.get("Content-Type", "").startswith("image/"):
image_format = response.headers.get("Content-Type").split("/")[-1]
file_name = f"barcode.{image_format}"
with open(file_name, "wb") as f:
f.write(response.content)
print(f"Barcode image saved as {file_name}")
else:
print(f"Unexpected content type: {response.headers.get('Content-Type')}");
print("Raw response:", response.text);
except requests.exceptions.HTTPError as http_err:
print(f"HTTP error occurred: {http_err}");
print(f"Response content: {response.content.decode()}");
except requests.exceptions.RequestException as req_err:
print(f"Request error occurred: {req_err}");
except Exception as ex:
print(f"An unexpected error occurred: {ex}");
if __name__ == "__main__":
generate_barcode()
Ensure you replace "YOUR_API_KEY". This script currently expects a JSON response. If the API is configured to send the image directly, you'll need to adjust the `Accept` header to something like "image/png" and modify the response handling to save `response.content` to a file.
Connecting with JavaScript (Node.js / Browser)
This guide shows how to connect to `thebarcodeapi.com` using JavaScript. The example uses the `fetch` API, which is available in modern browsers and Node.js (v18+).
Prerequisites
- For backend: Node.js (v18+ recommended for built-in `fetch`).
- For frontend: A modern web browser that supports the `fetch` API.
- Alternatively, you can use a library like `axios` (`npm install axios` or include via CDN).
- Your API Key from theBarcodeAPI.com (replace "YOUR_API_KEY" in the code).
Step-by-Step Guide
- Prepare your environment: Ensure you have Node.js installed for server-side use, or a modern browser for client-side.
- Write the Code: Use the JavaScript code snippet below. Adapt it for your specific HTML/JS project or Node.js file.
- Replace API Key: Update the `apiKey` variable with your actual API key.
- Run the Code: Execute your HTML file in a browser, or run your Node.js script. It will make a POST request and process the response.
JavaScript Code Example (using `fetch`)
async function generateBarcodeWithJS() {
const apiKey = "YOUR_API_KEY"; // Replace with your actual API key
const apiUrl = "https://api.thebarcodeapi.com/api/barcode/generate";
const payload = {
text: "Hello from JavaScript",
format: "qrcode",
scale: 3,
rotate: "N",
background: "#ffffff",
foreground: "#000000"
// output_format: "url" // to get a JSON response with URL
// output_format: "image" // to get direct image (set Accept header accordingly)
};
const headers = {
"X-API-Key": apiKey,
"Content-Type": "application/json",
// "Accept": "image/png" // Use this if you expect a direct image stream
"Accept": "application/json" // Use this if you expect a JSON response
};
try {
const response = await fetch(apiUrl, {
method: "POST",
headers: headers,
body: JSON.stringify(payload)
});
if (!response.ok) {
const errorText = await response.text();
throw new Error(`HTTP error! status: ${response.status}, message: ${errorText}`);
}
console.log("API Request Successful!");
const contentType = response.headers.get("content-type");
if (contentType && contentType.includes("application/json")) {
const data = await response.json();
console.log("Response JSON:", data);
// Example: if (data.imageUrl) { console.log("Barcode Image URL:", data.imageUrl); }
// If using in browser, you could set an image src:
// document.getElementById('barcodeImage').src = data.imageUrl;
} else if (contentType && contentType.startsWith("image/")) {
const imageBlob = await response.blob();
console.log("Received image data (blob).");
// Example: In a browser, you can create an object URL and display the image
// const imageUrl = URL.createObjectURL(imageBlob);
// document.getElementById('barcodeImage').src = imageUrl;
// For Node.js, you might convert blob to buffer and save to file:
// const buffer = Buffer.from(await imageBlob.arrayBuffer());
// require('fs').writeFileSync('barcode.png', buffer);
// console.log('Barcode image saved as barcode.png');
} else {
const textData = await response.text();
console.log("Received text data:", textData);
}
} catch (error) {
console.error("Error generating barcode:", error);
}
}
// Call the function
generateBarcodeWithJS();
// Example HTML structure if running in browser:
// <img id="barcodeImage" alt="Barcode will appear here" />
Remember to replace "YOUR_API_KEY". This example provides comments for handling both JSON (e.g., with an image URL) and direct image blob responses. Adjust the `Accept` header and `output_format` in payload according to your needs.
For more advanced features or other programming languages, please refer to our full API documentation.