"Learning or Writing Code in Python" matching MCP servers:

Python MCP server for SolidWorks automation with 109 tools covering the full CAD lifecycle. Enables AI-assisted design workflows through COM automation on Windows.

Injects the Code-Me brand identity, tone, and visual guidelines into LLMs with zero latency using built-in context files.

Enables Claude or any MCP client to drive a live SOLIDWORKS session through its COM API, modeling parts, building assemblies with mates, checking interferences and machining feasibility, and exporting STEP or DXF files. It also exposes a local semantic index of the SOLIDWORKS API so the model can look up signatures, enums, and official examples before running arbitrary Python against the session.

Maps design components, tokens, and patterns to their code implementations, providing AI coding agents with exact-match resolution across any design tool and framework. Enables agents to reliably discover and reuse existing components across React, Vue, Flutter, SwiftUI, and more.

Enables Large Language Models to access and manipulate Autodesk Revit models through a pyRevit-based bridge and the Model Context Protocol.

Provides 8 MCP tools for frontend design: load design system, generate components, scaffold pages, review consistency, extract tokens, check WCAG 2.2 AA, test responsiveness, and export to Figma.

MCP server for ingesting UI screenshots, Figma MCP node JSON, or hybrid Figma-plus-screenshot sources into a cross-platform design-to-code artifact pipeline.

Transforms Figma design data into a compact, LLM-friendly format for code generation, reducing size by 99.5% while preserving UI-critical information.

Enables AI clients to inspect, visualize, modify, launch, and manage Autodesk BIM models, views, families, and documents through a local authenticated bridge, including direct code execution.

The pixel-diff verifier for Figma-to-code: converts a frame to HTML, React, Next.js or Tailwind with design tokens, then renders it and pixel-diffs it against Figma until it converges. Also verifies your own running app.

Generates and transforms Expo assets (icons, splash, adaptive icons) from source images. Also includes image transformation and SVG conversion tools.

Enables local, versioned Blender character and shot production through fixed immutable stage transitions — reference import, blockout, mesh, retopology, look development, groom, rigging, animation, and rendering — with review gates, approvals, packaging, and resumable job control. It exposes these production operations over MCP instead of executing arbitrary Blender Python, keeping every write deterministic and caller-specified by exact source version.

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 AI hosts to interact with a browser CAD workbench through model-neutral local stdio or authenticated remote MCP tools, supporting command discovery, design-health analysis, and scoped previews while never reading local files or taking over open sessions.

Transform Figma designs into pixel-perfect React + Tailwind components using the Model Context Protocol.

Enables LLM clients to work with Vantage to inspect and modify scene state, open/save files, probe object properties, and run VScript payloads.

Zero-dependency Python MCP server for coding agents (Antigravity, Claude Code, Cursor, Windsurf). Unfreezes 915+ skills on-demand, injects 74 brand design tokens (Linear, Stripe, Apple), and validates WCAG contrast.

Transforms HTML into Figma designs using only the user’s design system, ensuring correct component usage or safe fallback to primitives, while continuously learning from each build to improve mapping accuracy and consistency.

Connects MCP clients to a local Blender + Bonsai (BlenderBIM) session for scene inspection, IFC project querying, viewport screenshots, and executing Python code in Blender.

Official draw.io MCP server: create diagrams from Mermaid, XML or CSV, shown inline in Claude, ChatGPT, VS Code and Cursor or opened in the draw.io editor. Searches 10,000+ shapes.

Enables running bpy Python code in an already-open Blender instance, with tools for health checks, scene info, and viewport screenshots.

AI design fidelity — compare Figma designs or screenshots against the rendered implementation and get structured discrepancies. Uses your Claude Code or Codex subscription, no API keys.

Gives LLM agents spatial awareness inside Autodesk Maya, enabling scene inspection and measurement, aesthetic and engineering audits, camera planning, checkpoint/rollback safety, asset import, and viewport or render previews. Agents can also execute arbitrary Python in Maya to build and verify 3D scenes against engineering rules instead of writing blind.

Enables AI coding assistants to search eight public UI and motion component catalogs, apply built-in license gating, and retrieve approved documentation, examples, or source code.

Renders architectural floor plans and site plans as SVG in blueprint or whiteprint styles, following real drawing conventions with precise geometry.

Converts PNG, JPEG, or WebP bitmaps into sticker-ready SVGs from any MCP client, taking local paths, HTTPS URLs, or base64 input, optionally applying a preset and writing the result to a file while returning quality metrics. It also lists available artwork presets and retrieves the result of a conversion that was still running.

Enables AI assistants such as Claude Desktop, Cursor, and VS Code to convert local or remote PNG and JPG images into SVG vectors through a single vectorize_image tool, using offline vtracer tracing in color or black-and-white modes.

Enables LLM agents to create pixel art and animations in Aseprite by writing and headlessly executing complete Lua scripts, with API documentation and output verification.

Enables LLM agents to build and modify parametric 3D models in Autodesk Fusion 360 through sketches, solid features, construction geometry, inspection tools, and in-Fusion Python execution. It connects MCP clients to a local Fusion add-in with status checks, error reporting, and unit-aware operations.

Enables controlling a local Blender instance through natural language or code, allowing arbitrary Python/bpy execution and querying scene or object information via MCP.

Enables to control FreeCAD from Claude Desktop through MCP, allowing CAD operations like creating and editing objects, taking screenshots, and executing Python code.

Enables AI assistants to create, read, and edit draw.io diagrams with live preview in VS Code.

Provides UI architecture analysis for converting Figma designs or web pages into reusable UI code blocks with effort estimation in CSV format.

Enables Claude Desktop to control FreeCAD for 3D CAD modeling, including creating, editing, and deleting objects, executing Python code, and running FEM analyses.

Enables MCP clients and AI assistants to inspect and modify a live Autodesk 3ds Max session — reading the selection, querying objects and layers, capturing the viewport, and running MAXScript or Python in the open scene. Every request is logged and each scene change becomes a named undo record, so the AI can only undo its own steps and the user can audit and reverse everything.

Enables AI-driven 3D modeling in Blender by providing tools to create primitives, apply modifiers and materials, set up lighting and cameras, capture viewport snapshots, export assets, inspect scenes, and execute Python commands via natural language.

A read-only MCP server that extracts actual Figma prototype flows, transitions, and per-screen interactions so agents can see navigational behavior rather than infer it. It reports explicit source and destination IDs with warnings for unresolved or ambiguous destinations, without guessing or writing back to Figma.

Converts Figma design data into structured semantic analysis JSON and screenshots for AI agents to use in design-to-code workflows.

Enables reading and patching VRoid Studio 2.x .vroid files by inspecting textures and parameters, exporting layer PNGs, and writing verified new files with replaced layers, item colors, or saved settings.

Enables AI assistants to control FreeCAD 3D modeling software, allowing creation and manipulation of 3D objects, execution of Python code, and interaction with FreeCAD's parts library through natural language.