Building Your First MCP Server with .NET: Connecting AI to Real Backend Tools
My first Model Context Protocol server in .NET 9 — exposing SQLite-backed CRUD tools over JSON-RPC/stdio so an AI client can take real backend actions, not just chat.
Thoughts on building systems that ship — cloud, full-stack, and AI.
My first Model Context Protocol server in .NET 9 — exposing SQLite-backed CRUD tools over JSON-RPC/stdio so an AI client can take real backend actions, not just chat.
The spec is the boss, the code is the output — how Spec-Driven Development keeps AI-assisted coding from drifting, shown through a full-stack Book Catalog app.
TestOllamaAPI: a full-stack local AI chat app — React frontend, Python FastAPI backend, and a local LLM running in Ollama, with conversation history in SQLite.
What Quartz.NET is, why it beats custom timer logic, and how I built a notification API where a cron-scheduled background job writes to SQLite via EF Core.
Project Sentinel: a human-in-the-loop, 11-agent AI system that detects requirement drift across meeting decisions, SRS/BRD docs, and Azure DevOps — and fixes it on approval.
EF Core 10 brings native JSON columns to SQL Server — strongly typed C# objects stored as JSON documents, with full LINQ-to-JSON querying and no value converters.
AI can generate code in seconds — so is DSA still worth weeks of study? Yes: it's the lens that lets you judge, optimise, and scale what AI produces.
DS discovers, ML predicts, AI acts — the roles of Data Science, Machine Learning, and AI explained through a practical online-bookstore recommendation example.
A simple tree diagram of Azure's AI, ML, and Data Science ecosystem — prebuilt AI services, custom ML, data services, infrastructure, MLOps, and developer tools, all in one picture.
How Dapper, a micro-ORM for ADO.NET, lets you query SQL Server and read fields like object properties — no models or classes needed thanks to dynamic.
The start of my AI learning series — what AI is, its types by capability and functionality, the role of data, and how ML, Deep Learning, and Generative AI fit together.
A step-by-step guide to SSO with Microsoft Entra ID — registering the app in Azure, adding users, and wiring OpenID Connect authentication into an ASP.NET application.
What Docker is, why it matters, and a hands-on walkthrough — from writing your first Dockerfile to running a Node.js app in a container.
My first Model Context Protocol server in .NET 9 — exposing SQLite-backed CRUD tools over JSON-RPC/stdio so an AI client can take real backend actions, not just chat.
The spec is the boss, the code is the output — how Spec-Driven Development keeps AI-assisted coding from drifting, shown through a full-stack Book Catalog app.
TestOllamaAPI: a full-stack local AI chat app — React frontend, Python FastAPI backend, and a local LLM running in Ollama, with conversation history in SQLite.
What Quartz.NET is, why it beats custom timer logic, and how I built a notification API where a cron-scheduled background job writes to SQLite via EF Core.
Project Sentinel: a human-in-the-loop, 11-agent AI system that detects requirement drift across meeting decisions, SRS/BRD docs, and Azure DevOps — and fixes it on approval.
EF Core 10 brings native JSON columns to SQL Server — strongly typed C# objects stored as JSON documents, with full LINQ-to-JSON querying and no value converters.
AI can generate code in seconds — so is DSA still worth weeks of study? Yes: it's the lens that lets you judge, optimise, and scale what AI produces.
DS discovers, ML predicts, AI acts — the roles of Data Science, Machine Learning, and AI explained through a practical online-bookstore recommendation example.
A simple tree diagram of Azure's AI, ML, and Data Science ecosystem — prebuilt AI services, custom ML, data services, infrastructure, MLOps, and developer tools, all in one picture.
How Dapper, a micro-ORM for ADO.NET, lets you query SQL Server and read fields like object properties — no models or classes needed thanks to dynamic.
The start of my AI learning series — what AI is, its types by capability and functionality, the role of data, and how ML, Deep Learning, and Generative AI fit together.
A step-by-step guide to SSO with Microsoft Entra ID — registering the app in Azure, adding users, and wiring OpenID Connect authentication into an ASP.NET application.
What Docker is, why it matters, and a hands-on walkthrough — from writing your first Dockerfile to running a Node.js app in a container.
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