"Using AI to Generate XUI Content on a Whiteboard" matching MCP servers:

Enables MCP-capable agents to read, create, modify, align, distribute, organize and export local-first infinite whiteboard content, including sticky notes, text, shapes, arrows, ink, mind maps, images, files and links across multiple pages. Provides 16 tools over stdio or Streamable HTTP, plus resources and prompts, with version-conflict protection and audit trails so canvas edits never silently overwrite newer content.

Enables AI agents to collaboratively draw and annotate Excalidraw diagrams in real-time via MCP tools, synced to a browser canvas.

Enables agents to decide whether the EU AI Act requires a label for AI-generated or modified content, then draw, render as HTML/SVG, or burn a WCAG-contrast EU label into an image and return the matching alt text.

Enables Claude to create, open, and edit persistent tldraw whiteboards in real-time, with live collaboration between human and AI.

Visual tech-stack inventory of any codebase: languages, frameworks, databases, AI SDKs, infra.

MCP server enabling Claude Code to capture screenshots of Windows applications through WSL2, allowing AI to diagnose UI errors and verify layouts.

Enables safe, AI-driven CATIA V5 modeling through 36 guarded tools for creating and inspecting parametric CATParts, including sketch, part design, GSD/surface, and transaction operations, while preventing mutation of existing documents.

Enables AI clients to manage a self-hosted content hub: create, edit, publish, and update articles across multiple platforms, plus AI writing and account management.

Enables fetching weather forecasts for the USA via NWS API and for Israel via browser automation using Playwright.

AutomateLab Content Distribution publishes content across DEV.to, Hashnode, GitHub Discussions, Reddit and Bluesky, with browser workflows for LinkedIn, Medium and X. Tracks publishing state and adapts content per platform. Product and documentation: https://automatelab.tech/products/mcp/content-distribution-mcp/

Enables editorial content QA over the Model Context Protocol with four local tools that analyze readability, AI-sounding language, SEO on-page factors, and produce full reports where every finding includes an actionable fix.

Provides content agents with structured search over editorial guidelines, visual templates, and past post outcomes, enabling auditable proposals that cite rule IDs.

AI-powered MCP server for file renaming, organization, and PDF splitting using natural language prompts and content analysis.

Maps any source asset (e.g., long video, podcast, blog) to all platform formats (TikTok, Reels, Shorts, etc.) with per-platform adaptation rules, enabling a 'film-once-cut-many' content workflow.

Enables users to look up a Douyin creator by name, public ID, or profile URL and receive the latest video link, like/comment/favorite/share counts, a full timestamped transcript with an AI-reviewed correction and change log, and a content overview. Collection, media download, and local speech transcription are orchestrated as stdio MCP tools so Codex, WorkBuddy, and other compatible clients can run creator research and scheduled checks without extra API keys.

Enables local discovery of research topics, interviews users to uncover their unique perspective, and turns insights into content ideas and short-form Reel scripts.

Fetches and tracks content from YouTube channels, RSS feeds, and GitHub releases with persistence to identify new items across sessions.

An MCP server that enables agents to safely interact with CMS content, with deny-by-default write policies, type/field allowlists, and structured audit trails.

Bridges the ChatGPT web UI to a local development environment over MCP, letting the model read and patch files, run real shell commands and terminals, execute tests, and control the desktop (screen, mouse, keyboard, clipboard) within user-approved folders. It adds parallel workers, goal/loop long-task control, plugin tools, and a security-hardening layer with risk-tiered shell policy, audit logging, and credential sanitization.

Enables AI agents to save public articles, papers, images, videos, podcasts, and subtitles as local files, with support for multiple sources and output formats.