"Help with Low-Level Programming Languages, C#, and .NET" matching MCP servers:

Enables AI assistants to control Blender 3D modeling and rendering through natural language commands via the Model Context Protocol.

Enables driving Inkscape headlessly from an MCP client, with verified SVG editing, rendering, optimization, and animation tools.

MCP server that lets AI assistants control Adobe After Effects via natural language, enabling composition and layer creation, animation, effects, presets, rendering, and arbitrary ExtendScript execution with Arabic/RTL support.

Enables AI assistants to write and execute C# code directly inside Autodesk Civil 3D, providing full API access through code generation and execution.

MCP server for the coss ui design system, enabling AI agents to fetch components, props, and design tokens on demand for accurate, low-cost code generation.

Enables AI to create and publish interactive web apps, games, and 3D scenes using Rosh, a plain-English programming language. It supports compilation to HTML5 canvas, Phaser, or Three.js.

Enables AI assistants to interact with Unreal Engine via Remote Control API for actor, asset, level, and editor operations.

Provides deterministic, read-only design knowledge for AI coding agents to help them choose visual directions, plan UI states, and compose design tokens, all without network access.

MCP server to help AI assistants generate Italian PA user interfaces by providing components, recipes, accessibility rules, and validation for Bootstrap Italia and Web Components.

Enables AI assistants to architect and build Awwwards-level websites with spring physics, design systems, React 19 templates, and HD visual inspection.

Converts Figma designs into structured code context with token-aware styling, enabling AI agents to generate production-level frontend code.

Enables safe, repeatable preparation of game characters in Blender through high-level MCP tools for validation, import, normalization, action renaming, and GLB export, with dry-run by default and loopback-only security.

Enables AI clients to design and edit JLC EDA professional projects through the official Run API Gateway, including component selection, schematic and PCB layout, net-by-net routing, DRC checks, and design verification with backups.

MCP server that enables LLMs to create and edit draw.io diagrams using high-level intent commands, with automatic layout and styling.

A safety-first foundation for connecting an MCP client to AutoCAD, currently providing read-only drawing status and health/version/capabilities tools via a Python MCP server and localhost C# bridge.

Enables a shared 3D workspace where humans and AI agents co-design in real time, with scene awareness, goal-level tools, visible proposals, deterministic reviews, and approval-gated changes.

Enables AI-driven control of Autodesk Navisworks via COM, supporting model tree browsing, property queries, searching, isolation, recoloring, and screenshots without a .NET add-in.

Enables AI agents to programmatically control a live Excalidraw canvas with element-level CRUD operations and real-time synchronization. It supports iterative diagramming through scene descriptions, screenshots, and advanced layout tools for collaborative AI-human workflows.

Enables natural-language querying, editing, and drawing production for Autodesk Revit models through an MCP client, via a bundled C# bridge add-in running inside Revit.

Enables AI models to automate SolidWorks CAD at the feature level through MCP, including building parts from DXF/DWG drawings and reproducing existing parts via a deterministic compiler.