Developer Tools · Education & Learning
danielmackay/dotnet-mcp-hero
A.NET-based superhero management system comprised of a Clean Architecture API backend and a Model Context Protocol (MCP) server for AI assistant integration.
See repository
Setup steps are in the repository README.
This project demonstrates how to build a modern.NET application with clean architecture principles and integrate it with the Model Context Protocol (MCP) for AI assistant capabilities. It consists of two main parts:
Clean Architecture: Separation of concerns with Domain, Application, Infrastructure, and WebApi layers
Domain-Driven Design: Rich domain model with aggregates, entities, and value objects
CQRS Pattern: Separation of commands and queries using MediatR
Minimal APIs: Fast and lightweight API endpoints
OpenAPI/Scalar: Modern, interactive API documentation
EF Core: Data access with Entity Framework Core
Aspire Dashboard: For observability and resource orchestration
Strongly Typed IDs: Using Vogen to prevent primitive obsession
Health Checks: Monitor application health
Comprehensive Testing: Architecture tests, domain unit tests, and API integration tests
GetHeroes
Retrieve all heroes from the API
CreateHero
Create a new hero
GetTeams
Retrieve all teams from the API
GetTeam
Get a specific team by ID
CreateTeam
Create a new team
AddHeroToTeam
Add a hero to a team
ExecuteMission
Execute a mission with a team
CompleteMission
Complete a team's mission
Echo
and ReverseEcho - Simple tools for testing the MCP connection
Details on this page are taken from the project's README. Open README
Clients mentioned in this server's README:
Desktop · Freemium · MIT
VS Code integrates MCP with GitHub Copilot through agent mode, allowing direct interaction with MCP-provided tools in your agentic coding workflow. Configure servers in Claude Desktop, workspace, or user settings, with guided MCP installation and secure handling of secrets in input variables to avoid leaking hardcoded keys.
microsoft/playwright
Playwright is a framework for web automation and testing. It drives Chromium, Firefox, and WebKit with a single API — in your tests, in your scripts, and as a tool for AI agents.
yamadashy/repomix
Repomix is a tool that packs a codebase into an AI-friendly format, supporting local and remote repository processing and providing code compression, security checks and multiple output formats.
bytedance/UI-TARS-desktop
TARS is ByteDance's multimodal AI agent stack, shipping two projects: Agent TARS (a CLI and Web UI agent built on MCP) and UI-TARS-desktop (a desktop GUI agent).
ahujasid/blender-mcp
formerly blender-mcp — the PyPI package is now mcp-for-blender. Existing setups keep working; no config change is required. Read more.
microsoft/playwright-mcp
A Model Context Protocol (MCP) server that provides browser automation capabilities using Playwright. This server enables LLMs to interact with web pages through structured accessibility snapshots, bypassing the need for screenshots or visually-tuned models.
comet-ml/opik
Opik is the open-source LLM observability and evaluation platform for AI agent tracing, LLM evaluation, prompt management, and production monitoring. Built by Comet. Apache-2.0 licensed, free to self-host the full platform, with 20,000+ GitHub stars.
