Model Context Protocol(MCP) in C#

Discover how to build a server sent events system in .NET, push real-time updates over a single persistent http connection, and implement a unidirectional server and client with content-type text/event-stream.

Create a dotnet server with http listener on port 8888 that streams server-sent events to the stream path, with logging. Use text event stream and no-cache; send every two seconds.

Create a long-lived http client to receive server-sent events, disable buffering, and stream data line by line, reading with a reader and printing each line to the console.

Test the SSH server and client workflow by running Linqpad server on port 8888 and connecting a client to the stream endpoint to read push messages and handle client streams.

Explore how MCP uses SEC in a smart AI app, orchestrating a music service via prompts; the LLM selects a tool, then MCP client–server handles the call and results.

Build a minimal MCP server from scratch that executes shell commands via JSON RPC, supports a single client, and streams real-time responses using server-sent events.

Build an MCP client from scratch, set up an HTTP client, handshake via server-sent events, and use task completion sources with cancellation tokens to send JSON RPC shell commands.

Test the MCP server and client interaction by starting the server, initializing the connection, and sending shell requests. Receive JSON RPC over HTTP and streamed responses via server sent events.

Add AI reasoning to MCP client by integrating LLMs and semantic kernel to decide which tool to invoke, manage chat history, and test shell command outputs for production readiness.

Explore how the model context protocol (MCP) in C# enables LLMs to adapt and explore server resources in real time, guiding application workflows and LLM orchestration.

Discover building a basic MCP server in a console app using NuGet and dependency injection, exposing name and version, with echo and sum tools.

Create a basic MCP client with the MCP SDK, connect to a manually started server, and explore available tools like echo and sum, using dotnet run for the C# server.

Explore integrating MCP Tools as semantic kernel functions in C#, converting MCP server tools into semantic kernel calls, with logging, OpenAI prompts, and testing in Visual Studio.

Orchestrate Semantic Kernel agents in a sequential workflow to read text from a file, translate it, and log the process using kernels, execution settings, and a chat history.

Explore concurrent orchestration of technologist and economist agents using an OpenAI kernel, with logging, a history object, and a collector to derive top ideas for the maritime industry.

Orchestrate a group chat using semantic kernel tools by creating code generator and runner agents, maintaining a conversation history, and producing a hello world in C#.

Learn to connect a dotnet MSSQL MCP server to a SQL Server database using an environment variable for the connection string, enabling the coding agent to manage tables.