DEV Community: Abhishek

🚀 Building Smarter Tools with MCP Server – A Step Toward AI-Driven Automation

Abhishek — Fri, 24 Oct 2025 11:35:53 +0000

🧠 What is MCP Server?

MCP (Model Context Protocol) Server enables seamless interaction between AI models and your backend systems.

It acts as a bridge, allowing prompts to trigger backend operations, retrieve data, or even perform automation tasks — all through natural language.

If you’ve ever wished your LLM could query your database, trigger workflows, or call APIs directly — MCP is the missing link.

🏗️ Build an MCP Server in .NET and VS Code

“I just wish the LLM could query my own database without me pasting schema dumps into the prompt.”

If that sounds familiar, the Model Context Protocol (MCP) is your new best friend.

In this tutorial, we’ll:

Spin up a simple MCP context server in C#.
Add a demo tool called get_weather.
Run it all inside VS Code — no Docker, no cloud.

1️⃣ What exactly is MCP?

Think “LSP for LLMs.”

LSP = editor ⇄ language server
MCP = LLM ⇄ context server

A context server exposes:

🧩 Tools – functions the LLM can invoke at runtime
📂 Resources – data or files it can read on demand
🪄 Prompts – reusable prompt templates

Transport uses JSON-RPC 2.0 over stdio or SSE (Server-Sent Events), so any language works — including .NET 8.

2️⃣ Setup in VS Code

Install the following extensions:

🧱 C# Dev Kit → ms-dotnettools.csdevkit
🤖 Model Context Protocol → modelcontextprotocol.mcp

Make sure you have .NET 8 SDK:


bash
dotnet --version   # 8.0.100+ is fine

🚀Getting Started with Azure Functions: The Power of Serverless Computing

Abhishek — Tue, 22 Apr 2025 06:23:32 +0000

In the fast-paced world of cloud computing, developers are constantly looking for ways to build applications faster, cheaper, and with less overhead. That’s where Azure Functions step in—offering a serverless compute service that lets you run small pieces of code (called functions) without worrying about the underlying infrastructure.

Whether you’re building a quick backend API, processing queue messages, or reacting to file uploads, Azure Functions make it simple and scalable.

☁️ What is Azure Functions?

Azure Functions is a serverless offering from Microsoft Azure. Serverless doesn't mean there's no server—it means you don’t have to manage the server. You write code that reacts to events, and Azure handles the rest: provisioning, scaling, and maintaining the compute resources.

In short, you:

Write a function (in C#, JavaScript, Python, PowerShell, Java, or others)
Define how it’s triggered (HTTP request, Timer, Queue, Blob upload, etc.)
Deploy it
Azure scales it automatically based on demand

🧩 Key Benefits of Azure Functions

Pay per execution: You’re only billed when your code runs.
Event-driven: Respond to triggers like HTTP calls, database changes, or scheduled events.
Scalable: Automatically adjusts to handle high loads.
Flexible language support: C#, JavaScript, Python, Java, and more.
Easily integrated: Works well with other Azure services (e.g., Blob Storage, Cosmos DB, Service Bus).

🛠️ How to Create Your First Azure Function

Let’s walk through a basic example: creating an HTTP-triggered Azure Function that returns a simple message.

🔧 Prerequisites

Azure account (Sign up for free)
Visual Studio Code
Azure Functions extension for VS Code
[.NET SDK or Node.js runtime] depending on your language

📝 Steps

Create a new function app
In VS Code, press F1 → “Azure Functions: Create New Project”
Choose your language (e.g., C# or JavaScript)
Choose template: HTTP Trigger
Give it a name (e.g., HelloFunction)
Choose Authorization level: Anonymous for testing

Write your logic

[FunctionName("HelloFunction")]
public static IActionResult Run(
    [HttpTrigger(AuthorizationLevel.Anonymous, "get", "post", Route = null)] HttpRequest req,
    ILogger log)
{
    log.LogInformation("C# HTTP trigger function processed a request.");
    return new OkObjectResult("Hello from Azure Function!");
}

Test locally

Hit F5 to run locally.
Visit http://localhost:7071/api/HelloFunction in your browser.

Deploy to Azure

In VS Code, click on the Azure icon → right-click your Function App → “Deploy to Function App”
Azure will host and scale your code automatically.

🔄 Common Triggers in Azure Functions

📊 Monitoring and Diagnostics
Azure Functions integrate seamlessly with Application Insights, allowing you to:

Monitor performance
Track failures and exceptions
Analyze usage patterns
Set alerts
You can enable this during creation or add it later via the Azure Portal.

💡 Real-World Use Cases

Auto-resize images uploaded to Blob Storage
Send email notifications from a database trigger
Schedule daily data clean-up jobs
Build lightweight APIs without managing a full backend

🚀 Final Thoughts
Azure Functions offer a powerful way to build scalable, event-driven apps with minimal setup. Whether you're an enterprise developer or a hobbyist tinkering with the cloud, they’re a fantastic tool to have in your kit.

Ready to go serverless?

Kubernetes: The Powerhouse for Container Orchestration

Abhishek — Wed, 09 Oct 2024 07:24:46 +0000

Kubernetes, or K8s, has become the go-to solution for container orchestration. It allows developers to automate the deployment, scaling, and management of containerized applications effortlessly. With its declarative approach, Kubernetes simplifies operations across various environments, whether you're on-premise, in the cloud, or hybrid.

Key benefits:

Scalability: Automatically scale your applications up or down based on demand.
Self-Healing: Restart failed containers and ensure high availability without manual intervention.
Service Discovery & Load Balancing: Kubernetes efficiently balances traffic and enables seamless service discovery.
Storage Orchestration: Flexibility to mount and manage storage systems.

Advanced LINQ queries in C#

Abhishek — Wed, 11 Oct 2023 08:01:10 +0000

It allow you to manipulate, filter, and transform data in complex ways. Here are some examples of advanced LINQ queries:

1. Grouping Data:
You can use the group clause to group data based on a specific property. For example, you can group a list of students by their grades:

var groupedByGrade = students.GroupBy(student => student.Grade);

2. Joining Data:
You can join data from multiple collections using the join clause. For instance, you can join a list of customers with their orders based on a shared property like CustomerID:

var query = from customer in customers
            join order in orders on customer.CustomerID equals order.CustomerID
            select new { customer.Name, order.OrderDate };

3. Aggregating Data:
You can use LINQ to perform aggregations, such as calculating the sum, average, maximum, or minimum values within a collection. For instance, calculating the average age of a list of people:

var averageAge = people.Average(person => person.Age);

4. Filtering with Predicates:
You can filter data with custom conditions using the where clause. For example, you can filter a list of products to find those with prices above a certain threshold:

var expensiveProducts = products.Where(product => product.Price > 100);

5. Selecting and Transforming Data:
You can project data into a new shape using the select clause. For example, you can select only the names of students from a list:

var studentNames = students.Select(student => student.Name);

6. Ordering Data:
You can sort data using the orderby and descending keywords. For instance, sorting a list of books by their titles in descending order:

var sortedBooks = books.OrderByDescending(book => book.Title);

7. Using Method Syntax:
Advanced LINQ queries can also be written using method syntax, which is a more compact way to express queries. For instance, you can group data using method syntax like this:

var groupedByGrade = students.GroupBy(student => student.Grade);

8. Combining Query Operators:
You can combine multiple LINQ operators in a single query, allowing for complex operations. For example, you can filter, group, and project data in a single query:

var result = students
    .Where(student => student.Age > 18)
    .GroupBy(student => student.Grade)
    .Select(group => new { Grade = group.Key, Count = group.Count() });

Advanced LINQ queries are powerful tools for data manipulation and are widely used in C# applications, especially when working with collections of data. They provide a concise and expressive way to work with data in a variety of scenarios.

Minimal APIs in .NET

Abhishek — Tue, 25 Apr 2023 12:13:03 +0000

The new version of .NET includes a new web framework called "Minimal APIs" that makes it easy to create simple, lightweight APIs, which is .NET 6.

Here are the steps to create a minimal API using .NET 6:

Create a new project: Open Visual Studio and create a new .NET 6 project. Choose the "API" template and select the "Minimal API" option.
Define endpoints: Define the endpoints for your API using the MapGet and MapPost methods. The endpoint function should return a response in the desired format (e.g. JSON).

C-Sharp

var builder = WebApplication.CreateBuilder(args);
var app = builder.Build();
app.MapGet("/", () => "Hello, World!");
app.MapPost("/api/messages", (string message) =>
{
    Console.WriteLine(message);
    return new { status = "success" };
});

Run the app: Finally, run the .NET app using the Run method:

app.Run();

That's it! You've just created a minimal API using .NET 6.

In conclusion,.NET 6's Minimal APIs make it simple to develop straightforward, lightweight APIs. The MapGet and MapPost methods make it simple to specify endpoints and return data in the format you require. By using this strategy, you may maintain the fundamental functionality required by your API while reducing complexity and enhancing performance.