"Writing about MCP" matching MCP servers:

Use Claude to control or ask questions about your Altium project.

Use Claude to control or ask questions about your Altium project.

Enables coding agents to query a workspace's design system before writing UI and validate generated code against the same system afterward, using configurable token and component sources.

Enables reading, writing, and validating .tldr files for tldraw, a headless implementation without browser dependencies.

Enables AI assistants to build and edit app-screen mockups and clickable prototypes by reading and writing structured scene models, including screen creation, node manipulation, and branching from code-based screens.

MCP server providing AI assistants with comprehensive documentation about @deay/ui components, including props, examples, best practices, and Figma design specifications.

A local MCP server that gives AI agents live access to open Figma files for design handoff and UX writing without API tokens or rate limits.

Exposes tools to ingest FigJam boards, retrieve context summaries, and answer free-form questions about the board content.

MCP server for AI-assisted Blender automation, providing layered tools for perception, declarative and imperative writing, and fallback operations.

Enables coding agents to read ground truth about a React design system — components, props, cva variants, tokens and docs — over MCP so they write UI that matches it. It also exposes a check_ui linter agents run on their own output, returning rule ids, locations and concrete fixes before review.

thicken turns photos of a real object into a GLB model at its real size and its metadata as JSON, read off the object by vision models and looked up in public catalogs. What it knows about each kind of object lives in a profile: a few come with thicken, and you can add your own.

An MCP server that lets AI agents drive FigJam boards through a local Figma plugin, bypassing API rate limits with 19 tools for reading, writing, and editing FigJam content.

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.

Exposes Levit design system (GDS) metadata to AI coding tools, enabling queries about color tokens and component usage via natural language.

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

Exposes information about Z-Image AI image generation and editing platform, including styles, pricing, and official links, for MCP-compatible AI clients.

Enables an AI assistant to construct Garry's Mod builds from props based on text descriptions or reference photos, and save them as Advanced Duplicator 2 dupes. Supports searching models, reading dimensions, setting positions, angles, colors and welds, validating builds against a server prop allowlist before writing revision 4/5 files.

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.

A security-first Tilemap MCP server for Tiled Map Editor, enabling safe inspection, creation, editing, validation, and preview of Tiled assets, with support for reading/writing TMJ/TSJ, programmatic generation, and visual previews.

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 direct Figma interaction through REST with a personal access token and a local plugin bridge, supporting node/style/component inspection, variable and selection access, image export, and writing frames, rectangles, and text into open files without the official connector’s request limits.

An MCP server that gives AI assistants direct control over Godot 4 game development projects. It enables launching the editor, running projects, creating and editing scenes, writing GDScript, and inspecting assets through natural language commands.

Connects a compatible AI assistant to a running Blender session so it can build, arrange, edit and validate 3D scenes using reusable ready-made actions instead of writing new Python for common operations. It keeps a persistent local bridge open for grouped actions and offers built-in scene checks for floating objects, orientation and clearance problems.

Enables reading, writing, drawing, and animating .aseprite pixel art and sprites natively in pure Python, including converting images to true pixel art, rigging and tweening characters, linting and comparing frames, and exporting GIFs or sprite sheets. It runs fast without launching Aseprite, keeps edits transactional with undo/redo, and includes a built-in web viewer for playback and review.

Enables writing to Figma from MCP clients like Claude Code without a Figma Dev seat, using a local WebSocket relay and a Figma dev plugin.

Enables Cursor agents to export selected artboards, node trees, sliced assets, and design tokens from a design canvas so they can generate front-end pages without writing back to the canvas.

Enables AI agents to drive Adobe Lightroom Classic directly — searching and organizing catalogs, reading and writing the full set of develop parameters, building geometric and AI-generated masks (sky, subject, mountains, water, people), applying presets, and rendering previews, histograms, and exports. All capabilities are exposed as 167 MCP tools over a Lua plugin bridge, with write-confirmation sentinels so silently dropped edits surface as explicit errors.

Enables AI coding tools to load design guidelines, tokens, components, templates, and migration mappings before writing UI, then validates generated snippets locally and returns fixes so the tools can correct themselves before the code is shown.

Lets AI agents design alongside you on a live canvas by reading, writing, styling and inspecting real HTML/CSS designs, capturing pixel-accurate screenshots, exporting assets and PDFs, and managing design tokens, comments and files. It exposes the same 37 tool names, parameters and response shapes as Paper, so existing agent prompts and workflows run against a local canvas over Streamable HTTP or stdio.

An MCP connector that lets Claude create and edit pixel-art sprites by writing rows of character keys and drawing commands, organized into projects with palettes, swaps, animation and export. Every save returns zoomed previews, real-size copies, silhouettes and automatic checks, and the same sprites can be viewed and painted by hand in a browser.

MCP App that renders a json-render spec from the model as real Angular Material components inline in the chat (Claude, ChatGPT, VS Code, Cursor). One tool, render-ui, over a 29-component catalog; the UI renders while the model is still writing.

Enables AI agents to drive a live Blender session over stdio, inspecting the scene graph, searching and calling operators, reading and writing RNA properties, rendering viewable images, and checkpointing or restoring the file across a multi-turn conversation. It also exposes gallery and scene-reset helpers so the agent can check its own work and start over cleanly.

Lets AI agents use Paper's design tools — writing HTML, capturing screenshots, reading JSX, and creating files — by driving the Paper editor in a headless browser instead of requiring the desktop app. It serves these tools over stdio to any MCP client, such as Claude Code, Cursor, or Codex.

Enables AI coding agents to search Japanese landing-page design systems and pattern packs, inspect their DESIGN.md files, and retrieve them for use in projects through MCP tools without writing files itself.

Lets coding agents read and write design-system themes and tokens in the locally running editor, with locked tokens protected, and exposes a seven-step design workflow through tools, prompts, and guidance resources. Changes made by the agent appear in the editor within about 1.5 seconds, with reconnection and version-conflict reporting.

Enables AI assistants to directly view, understand, and modify local Sketch/Figma design files, including writing code, applying semantic edits, and exporting assets, all through a local MCP server without uploading data.

Lets MCP clients drive the 13 ArtCraft Crafting Apps through their CLI binaries using five compact tools — app discovery, command lookup, ordered command execution, a verbatim CLI escape hatch, and help text. This replaces the 799 per-app tool schemas (~140k tokens of resident context) with about 900 tokens, while keeping full access to the apps' 7,027 command IDs.

Enables coding agents building UI to pull real product screens and design materials from a catalogue, returning inline reference images plus typed structured content such as colors, typography, and components. It also serves bundled skill documents, help, and status resources locally so agents can settle a screen's contract before writing code.

Serves design-system context and judgment from versioned tenet-ui snapshots, letting agents query component catalogs, tokens, guidelines, and baselines while writing and checking their own code.