"Top 100 MCP Servers Ranked by Weekly Downloads" matching MCP servers:

An MCP server that feeds AI agents your brand's real logos, colors, fonts, and approved slide layouts, so every deck and document comes out on brand the first time.

NavisCoord connects desktop AI clients to Autodesk Navisworks Manage on Windows for clash analysis, coordination groups, revision comparisons and illustrated reports. Version 1.0 is under release review in PR #19 and requires a licensed local Navisworks installation.

Design contract layer for AI agents. Scans Figma, code, Storybook, and token files, reconciles conflicts, and serves a single machine-readable source of truth so every agent gets the same authoritative design rules before it builds. Local-first.

Enables AI agents to extract design systems, analyze components, and maintain design-code consistency from Figma files, providing intelligent component analysis and accessibility compliance.

Enables AI clients to create, edit, and export CAD models and drawings in a locally installed FreeCAD via MCP.

Provides read-only access to over 100 UX/UI design checklists from Checklist.design, enabling users to search and retrieve design guidance for specific flows and screens. Runs locally without an API key.

Routes design tasks to the current top-ranked model from designarena.ai's crowdsourced leaderboard via OpenRouter.

Enables listing top-level frames in a Figma file and fetching a selected frame's rendered PNG, node JSON, and image-fill map into a local output directory.

Enables Claude to connect to Figma without a paid plan, offering auto-connect and 100+ tools for document manipulation, design system sync, and code-to-Figma conversion.

Enables Claude to run automated Figma-to-website design QA scans, including page discovery, visual regression and UI comparison, and structured severity-ranked reports, all within a conversation.

Gives AI assistants tools to look up craft palette colors by code or name, find the closest match to any hex color ranked by CIEDE2000, and convert a code from one brand into its nearest equivalents in another. It covers 3,689 codes across fuse beads, seed beads, floss, diamond painting, yarn, LEGO and Minecraft so answers come from data rather than memory.

An MCP server that gives AI coding agents access to Figma design data, enabling pixel-perfect implementation of designs through structured data extraction, image downloads, and design token retrieval.

Parses Lanhu design files into structured layer trees with detailed visual properties, supports slice downloads, requirement documents, and team collaboration features.

Enables browsing Material Design 3 documentation by listing top-level sections and retrieving page content as Markdown.

Enables Claude to create and edit Minecraft skins in real time inside the Minecraft Skins Editor, with painting tools, undo/redo, and skin downloads.

Converts Lanhu design URLs into AI-ready implementation context including HTML+CSS (Tailwind), image downloads, design tokens, and guidance.

Enables coding agents to query a private, curated design reference library over MCP, retrieving approved screenshots alongside the owner's take-and-avoid notes, marked component regions, and brand kits with colors, typography and CSS. Supports ranked recommendations by design brief, filtered search, and component lookup so agents can ground their implementation choices in saved preferences.

BlenderMCP connects Blender to AI agents via the Model Context Protocol, enabling direct 3D object manipulation, material application, asset downloads, and Python code execution with secure token-authenticated local communication.

Enables AI agents to control a live Blender session, including scene and object operations, materials, rendering, PolyHaven asset downloads, and prompts to configurable LLM backends through MCP tools.

An expert design advisor MCP server that researches live discussions, scans project files, and automatically downloads font files for your project setup.

Enables searching Lucide icons by keyword tags, returning best-matching icon names.

Enables inspecting, creating and modifying MakeHuman characters inside Blender — phenotypes, rigs, assets, skins, faces, expressions and saved presets — through 34 named tools served by a companion Blender bridge add-on that dispatches a closed command vocabulary instead of executing code. It also exposes read-only introspection, catalogue and documentation lookups that always answer, even when Blender is unreachable.

Exposes surface-bound annotations placed on a Blender model to AI agents, letting them read pending change requests with stable IDs, revisions, positions and visibility, then submit completion summaries by marker ID after editing. This enables batch, review-oriented workflows where the user approves or rejects each agent change in Blender, without requiring object selection, screenshots, or a fixed port bridge.

Give your AI assistant the ability to inspect, measure, and compare 3D CAD models by dropping in a STEP file and asking engineering questions. Runs entirely on your machine with no cloud, no CAD license, and no setup.

Enables MCP clients to drive VRoid Studio's GUI by launching the app, capturing screenshots, locating UI elements via OCR/color, and simulating clicks/typing to adjust parameters and export .vrm files.

Enables AI agents to prepare floor plans for Ritn3D and interpret 3D outputs by providing tools for validation, complexity estimation, pricing, and failure analysis.

Validate AI-built front-ends against Figma by tokens and geometry, not pixels.

Lets Claude Code, Cursor, VS Code and other AI agents draw and edit draw.io diagrams from your project's files, on a live browser canvas you can also edit by hand. Includes version history, undo, cloud shape libraries (AWS, Azure, GCP) and PNG or SVG export.

An MCP server that lets AI assistants like Claude control Adobe Illustrator through natural language by executing ExtendScript code and providing document state inspection.

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.