"Cómo ver errores y advertencias en Visual Studio Code" matching MCP servers:

MCP server for multimodal understanding and object grounding (bounding boxes) across images, videos, and documents, with support for multiple AI providers (Zhipu GLM-V, OpenAI GPT-4o, Anthropic Claude, or any OpenAI-compatible endpoint).

A local-first creative studio MCP server that provides access to 73 curated image and video generation models across 5 providers, enabling users to generate, refine, and manage creative outputs with transparent cost tracking and local file custody.

An MCP server that searches the web for images, creates a numbered contact sheet for visual selection, and downloads the chosen images with provenance metadata. Works without an API key.

Provides image understanding capabilities to coding models without vision support by automatically invoking a vision model and returning text descriptions, enabling seamless context-aware coding with images.

Provides structured visual evidence from images via Google's Antigravity CLI, with tools for scene-level reading, targeted visual questioning, and image comparison prefiltering.

Enables coding agents to run an evidence-backed visual QA loop for browser interfaces, including inspecting a running app, retrieving findings with screenshots, and rechecking only the captures affected by a fix.

Enables auditing visual evidence chains and checking spatial bounding consistency to detect synthetic artifacts through deterministic MCP tool responses.

Enables users to create and manage workspace-scoped CAD contracts, build and validate STEP-backed geometry, generate technical drawings and proof renders, audit models, and sample motion through bounded MCP tools.

Enables agents to verify educational, scientific, and engineering visuals by extracting structured evidence and running domain-specific checks against specs and theory.

Enables deterministic visual and structural analysis of PDF and DOCX documents, extracting measurable evidence such as blur, OCR confidence, and image anomalies for auditable forensic workflows.

Visual icon search, retrieval, and comparison for AI agents. Search 200k+ icons semantically, render side-by-side comparison grids, and retrieve raw SVG markup — all tools return images so vision-capable LLMs can see the icons.

Renders source code as beautiful SVG or PNG images with syntax highlighting, line numbers, and diff support. Ideal for AI agents to present code visually to humans or for sharing snippets.

Enables AI agents to perform deterministic FFmpeg video edits—silence removal, vertical reframing, 3D LUT grading, and metadata/audio extraction—and generate native CapCut Desktop drafts, with a local web studio for previewing and batch processing.

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.

Free open-source Video Studio for Wan · Seedance · Kling, plus more models via the PowerTokens API. Excel/CSV batch, compare, storyboard, and safe resume. MCP tools check API keys, estimate cost, generate and download MP4s, and resume interrupted tasks. The app is free; video credits are on PowerTokens. https://powertokens.ai/?utm_source=glama&utm_medium=mcp&utm_campaign=video-studio

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 AI assistants to turn a story into a finished PS1-style low-poly 3D vertical short video by writing the script, voicing lines with ElevenLabs, building the three.js scene from a prop library, and rendering seamless looping takes with mixed audio, stills, QC and a posting kit.

A stateless MCP server for AI film and video production that tracks project state, shot status, and updates, enabling consistent characters and continuity across generative video tools.

Enables agents to ground and compare visual specifications by calculating physical dimensions and degrees of freedom from multimodal inputs.

Enables AI agents and MCP clients to run self-hosted video production workflows, including project planning, rendering, review, and delivery with durable background jobs and local review.

Enables AI agents to generate images, videos, and lip-sync media, and to query wallet balances via the Open Generative Studio instance.

Enables local Blender-based product modeling and photography by exposing project management, scene editing, rendering, image inspection, and asset publishing tools to MCP hosts like Claude Code, with versioned .blend revisions and PNG renders.

Enables AI agents to create high-resolution marketing images from simple JSON configs without design skills or API keys. Provides presets, themes, and layouts to render deterministic PNGs locally.

Enables Claude Code and Claude Desktop to control Adobe Photoshop on Windows through high-level, tested tools for non-destructive object cutouts, dismissing hint popups that block scripting, and related automation.

MCP server for coordinate-based selective photo blurring, letting AI agents blur faces, plates, or regions with ellipses, rectangles, and VIP exclusion boxes. Exposes tools to scan folders, manage configs, apply blur, and export Python snippets.

Exposes one tool per pipeline command so an AI agent can drive the work of turning audio into a reviewable vertical video draft: importing sources, transcribing with word timings, planning beats, generating one AI image per beat, and rendering a 1080×1920 MP4 with word-synced captions. Paid steps stay gated behind script approval given from the CLI, so agents can run the loop for Reels, TikTok and YouTube Shorts without overspending.

An MCP server that gives AI agents eyes and a robotic arm to compose and iterate generative art on an AxiDraw pen plotter via webcam feedback.

Enables Claude Code and Codex to drive Blender through natural language: searching Sketchfab and importing ranked models with auto-recorded credits, auto-rigging characters and applying Mixamo animations, converting a single image to 3D, and splitting Cycles renders across a Mac (Metal) and Windows (OptiX) machine. A one-prompt installer sets up Blender, the MCP connection, and agent registration on macOS and Windows.

Enables AI agents to compare visual specifications and calculate physical dimensions and degrees of freedom from multimodal inputs.

MCP server for open-vocabulary object detection and intelligent placement recommendation using Qwen VL and GroundingDINO, enabling natural language interaction with images.