Claude API Integration Example

Using Claude AI API from Anthropic is straightforward because it’s a REST-based API (/v1/messages)

1. Prerequisites

Create account → https://console.anthropic.com

Get API Key

Set environment variable:

export ANTHROPIC_API_KEY=your_api_key_here

2. Simple Python Integration (Recommended)

Install SDK:

pip install anthropic

Example: Basic Chat Request

from anthropic import Anthropic

client = Anthropic()

response = client.messages.create(
    model="claude-sonnet-4-20250514",
    matokens=500,
    messages=[
        {"role": "user", "content": "Write a blog on SQL Server CTE"}
    ]
)

print(response.content[0].text)

How it works:

• model → which Claude model to use
• messages → conversation format
• matokens → response length

3. REST API (cURL Example)

curl https://api.anthropic.com/v1/messages \
  -H "Content-Type: application/json" \
  -H "x-api-key: $ANTHROPIC_API_KEY" \
  -H "anthropic-version: 2023-06-01" \
  -d '{
    "model": "claude-sonnet-4-20250514",
    "matokens": 300,
    "messages": [
      {"role": "user", "content": "Explain overfitting in ML"}
    ]
  }'

This hits the main API endpoint used for all requests (Claude)

4. ASP.NET MVC (C# Integration)

Since you’re working with ASP.NET MVC 5, here’s a clean implementation:

C# Service Class

using System;
using System.Net.Http;
using System.Text;
using System.Threading.Tasks;

public class ClaudeService
{
    private readonly string apiKey = "your_api_key_here";
    private readonly string endpoint = "https://api.anthropic.com/v1/messages";

    public async Task<string> GenerateAsync(string prompt)
    {
        using (var client = new HttpClient())
        {
            client.DefaultRequestHeaders.Add("x-api-key", apiKey);
            client.DefaultRequestHeaders.Add("anthropic-version", "2023-06-01");

            var json = @"{
                ""model"": ""claude-sonnet-4-20250514"",
                ""matokens"": 500,
                ""messages"": [
                    { ""role"": ""user"", ""content"": """ + prompt + @""" }
                ]
            }";

            var content = new StringContent(json, Encoding.UTF8, "application/json");
            var response = await client.PostAsync(endpoint, content);
            var result = await response.Content.ReadAsStringAsync();

            return result;
        }
    }
}

Controller Usage

public async Task<ActionResult> GenerateContent()
{
    var service = new ClaudeService();
    var result = await service.GenerateAsync("Write SEO article on AI");

    return Content(result, "application/json");
}

5. Real-World Use Cases (Your Case)

Since you're building auto content + social posting system, you can use Claude API for:

• Blog generation
• SEO content
• Meta tags (OG, title, description)
• Auto summaries
• Social captions

6. Advanced Features

Claude API also supports:

• Streaming responses
• Tool usage (function calling)
• File uploads
• Long context inputs
• All accessible via SDK (Claude)

7. Best Practices

• Use retry logic (API timeouts can happen)
• Cache responses for cost saving
• Use structured prompts for consistency
• Avoid sending unnecessary large data

Final Summary

Claude API = Simple REST + Powerful AI

• Endpoint: /v1/messages
• Input: structured messages
• Output: AI-generated content
• Works with Python, Node, C#, etc.