#dotnet

Real-time monitoring tool for Model Context Protocol (MCP) interactions in Cursor AI editor. Track, analyze, and debug AI context exchanges between LLM clients and servers. Supports log rotation, pattern matching, and color-coded event visualization.

This is a very basic example of how to create MCP servers in .NET

MCPSharp is a .NET library that helps you build Model Context Protocol (MCP) servers and clients - the standardized API protocol used by AI assistants and models.

MCP client and server implementations for .NET

Model Context Protocol Server for IIS web server management

An MCP server for querying the Azure DevOps API

An example MCP Azure Function in F#

mcp server to publish dev.to article automatically. In .NET 9

This is a MCP designed to manage and interact with mobile devices and simulators.

A model-agnostic MCP Client-Server for .Net

MCP server with .NET

Integrate Model Context Protocol (MCP) tools with Microsoft Semantic Kernel to build AI-driven workflows. This C# project connects MCP servers to Semantic Kernel, enabling LLMs to call external tools seamlessly. Features example code for developers exploring AI orchestration with .NET.

This is an MCP server that extracts subtitles from a given YouTube link

Datalust Seq Server API wrapped as an MCP

MCP server written in .net to interact with NuGet package servers

A MCP server for powerplatform/dataverse implemented in .Net

Using Azure OpenAI perform series of tasks using mcp server

An .NET Aspire AI chat application that demonstrates how to chat with custom data (RAG - Event Driven) and context extensions (MCP Server) using an AI language model. .NET Aspire, RAG, Qdrant and MCP Server returning GitLab Groups based on search pattern

An MCP Server that's also an MCP Client. Useful for letting Claude develop and test MCPs without needing to reset the application.

A Model Context Protocol (MCP) server that provides detailed type information from .NET projects for AI coding agents. The .NET Types Explorer MCP Server is a powerful tool designed to help AI coding agents understand and work with .NET codebases. It provides a structured way to explore assemblies, namespaces, and types in .NET projects, making it easier for AI agents to generate accurate and context-aware code suggestions. The server uses reflection to extract detailed type information from compiled .NET assemblies, including classes, interfaces, methods, properties, fields, and events. This information is then made available through a set of tools that can be used by AI agents to explore the codebase in a systematic way. Features Assembly Exploration: Retrieve a list of all assemblies referenced by a .NET project Namespace Exploration: Discover all namespaces within specified assemblies Type Exploration: Get detailed information about types within specified namespaces, including: Full type names with generic parameters Implemented interfaces Constructors with parameters Methods with return types and parameters Properties with types and accessors Fields with types and modifiers Events with handler types NuGet Package Search: Search for NuGet packages on nuget.org with filtering and pagination NuGet Package Version Information: Retrieve version history and dependency information for specific NuGet packages Filtering: Apply wildcard filters to narrow down results Pagination: Handle large result sets with built-in pagination

.NET bindings for VMware VIX API with Model Context Protocol server for AI-driven virtual machine automation. Enables natural language control of VMware VMs through AI assistants like Cursor IDE.