"Finding people named Altman on LinkedIn" matching MCP servers:

Enables AI assistants to interact with the Cocos Creator editor through the Model Context Protocol, providing 50 core tools for editor functionality.

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.

Enables connected ChatGPT/Codex desktop chats to design editable Minecraft-style Blockbench models with named parts, pixel textures, animation presets, approval-based edits, and Bedrock exports.

Turn idead and markdown into branded, multi-page social carousels and slideshows for TikTok, LinkedIn, Instagram, Threads and Xiaohongshu.

Enables AI agents to retrieve and compare current brand data, inspect colors and fonts, enrich transaction descriptors, and access approved private assets using fourteen shared tools across isolated named profiles.

Enables an AI agent to design, lay out, proof and print badges, business cards, flyers, photos and sublimation transfers on real paper printers with millimetre-accurate output, packing mixed items onto shared sheets with crop marks. It also remembers named print profiles, including printer, paper, tray, media type, quality and calibration settings.

Enables compatible MCP clients to inspect drawings, read units, layers, and entities, and create, edit, transform, or delete CAD objects through a local named-pipe bridge to AutoCAD 2025.

Enables models to pose and measure first-person arms and a rifle in Blender, reporting positions in named frames, clearances, visibility, screen placement, and solving rifle moves against goals.

Enables MCP clients to interact with a live local Mastercam session through a secure Windows named pipe, with a read-only default profile and guarded write operations for safe CAD/CAM workflows.

Enables humans and AI agents to share one Excalidraw whiteboard: people draw in a browser while agents read and draw on the same board through MCP tools. Access is protected by a gateway with OAuth 2.1 and GitHub device-flow sign-in restricted to an allowlist.

Lets any MCP-compatible AI assistant read and edit Autodesk Civil 3D drawings through tools for alignments, surfaces, corridors, pipe networks, quantity takeoff, and cut/fill, using a local bridge plugin and named pipes.

Provides color conversion between formats, WCAG contrast ratio computation, and nearest CSS named color lookup.

Enables people and AI agents to generate personalized animated robot avatars with accessories, colors, expressions, fluid bodies, and badges, then export them as SVG, PNG, or GIF through local MCP tools.

Enables AI agents to read and draw on self-hosted Excalidraw boards, listing and creating boards, adding, updating and deleting elements such as labeled shapes and connecting arrows, and finding library icons to place. Changes appear live on any board the user has open.

Enables agents to draw on a self-hosted canvas by creating and editing frames, text, shapes, images, and SVGs with auto-layout, then inspecting, exporting, and sharing the results. Also supports live viewing of agent edits, pinned comments, screenshots, and revision history so people and agents can collaborate on boards.

Enables AI agents to build, validate, query, and render 3D homes and object scenes from a single JSON scene file over MCP, with browser walkthroughs for people.

Local-first visual workspace and MCP server for canvases built by people and agents, with a polished editor, extensions, and SQLite persistence.

Enables coding agents to ground UI work in real product screens by finding concrete references, materials, and design-system details through a catalogue. It also provides bundled workflow resources, command prompts, and local diagnostics so agents can build and verify interfaces.

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.

Enables AI agents to manage routes on the Design Canvas infinite canvas app, including adding, removing, listing routes, and capturing screenshots of the canvas.

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 an AI assistant to conversationally control Autodesk AutoCAD, drawing, inspecting, and editing plans, and includes a cross-platform DXF engine that runs without AutoCAD on macOS and Linux. It exposes tools for rendering views as images, batching geometry, blocks, and structures, measuring and checking plans, and undoing whole batches.

Enables AI agents to read and draw on Figma canvas safely, with built-in safeguards for layout, overlays, and verification.

Bidirectional MCP bridge enabling AI assistants to draw UI on Figma canvas and read designs back as structured data or code tokens via localhost, requiring Figma Desktop.

A visual designer pen for Claude Code that lets users click, drag, or draw on webpages to get source code locations and screenshots for direct editing and verification.

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.

Enables LLM agents to search, resolve and audit DTCG design tokens — finding the token behind an intent or a hard-coded color/size, checking naming grammar, auditing CSS for hard-coded or unknown tokens, arbitrating semver, and previewing token additions as JSON Patch diffs. Writes are gated behind explicit confirmation plus an opt-in flag, so every change arrives as a reviewable proposal rather than an edit.

Enables MCP clients to read design structure, take screenshots, create nodes, and edit UI directly on Figma canvas via a bridge between MCP and Figma Desktop.

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.