"Step-by-step guide to breaking down a request into parts" matching MCP servers:

A local MCP server that integrates Step Plan API for image generation and text-to-speech, allowing MCP-compatible clients like Codex to use these capabilities without switching models.

Enables an assistant to watch a cooking video once and then guide a hands-free cook through it: importing videos into validated step-by-step guides, navigating steps, searching timestamped transcript and on-screen evidence, showing exact frames and clip replays, and setting persistent timers across restarts. Sessions, progress, and deadlines are stored so users can resume where they left off.

Exposes Open Video Guide functions to MCP clients, enabling conversion of tutorial videos into illustrated, verifiable guides with timestamps, evidence, and review states.

Enables AI assistants to convert CSS-animated SVGs into videos (MP4/WebM/MKV/MOV) and animated images (aPNG/GIF) with frame-accurate rendering and transparency support.

Enables LLM agents to process local videos into timestamped, citable text documents and then query them through tools for listing videos, retrieving transcripts, and fetching specific segments, all fully offline.

Routes one brief to the right image model across 60+ (gpt-image-1.5, Ideogram 3, Recraft V4, Flux), validates the output, and fans out to iOS/Android/PWA/favicon/visionOS/Flutter bundles. Works without an API key via Pollinations, HF Inference, Stable Horde, or host-LLM inline SVG.

MCP server for ingesting UI screenshots, Figma MCP node JSON, or hybrid Figma-plus-screenshot sources into a cross-platform design-to-code artifact pipeline.

Enables MCP clients to turn direct video URLs and chosen start/end times into ready-to-post vertical 9:16 MP4 clips with animated burned-in captions, thumbnails, and SRT files, including batch processing for multiple highlights.

Turns a single image of an object into a textured 3D model (GLB with web-ready copy and six-view previews) on your own NVIDIA GPU, returning the written files and a preview. Runs locally as an MCP tool or, optionally, offloads the job to hosted GPUs with an API key.

Enables text-to-image generation using Zhipu AI's CogView-4 API. Supports generating images from text prompts with configurable size and quality parameters through MCP-compatible clients like Claude Desktop and Cline.

Provides governed MCP tools for a controlled, AI-assisted asset-change pipeline, featuring natural-language requests, mandatory approvals, execution-time revalidation, and complete audit.

Converts local images or remote image URLs to Base64 format via the MCP protocol, enabling AI assistants to process images.

An MCP server for generating images and checking generation status through ComfyUI's API. It allows interaction with local ComfyUI instances by providing workflow-based image generation and status checking tools.

Enables AI assistants to control a Blender instance through MCP tools, supporting scene creation, editing, and asset exchange via HTTP and background CLI processes.

Enables agents to discover available still-image animation models, obtain credit quotes without charge, submit one explicitly approved generation job, and poll the resulting short clip.

Enables Claude Code to convert PDF files to high-quality PNG images, download academic papers, and batch process PDFs with automatic folder organization.

Enables AI assistants to read COVID-19 lateral flow test results from photographs by calling a deployed computer-vision pipeline, returning verdicts like positive or negative with confidence.

Enables coding agents to generate step-by-step 3D assembly manuals from a project's own design files, with real part shapes, pin-to-pin wiring, and fasteners, returned as a shareable link. Also lets users photograph their in-progress build so the agent can verify it and highlight the exact parts, pins, and wires the current step refers to.

Enables AI clients to generate animated videos from natural language prompts, handling scriptwriting, voiceover synthesis, and MP4 rendering.

Enables Claude Code and Codex to generate, extend, and manage Veo videos and Nano Banana images from natural-language prompts, with local output storage and asset tracking. It also supports image-to-video consistency workflows, model discovery, and a storyboard prompt for step-by-step rendering.

A privacy-conscious MCP server that enables image analysis via Google Gemini with safety features like two-step confirmation and SSRF defenses.

Enables agents to compress JPEG, PNG, and WebP images to a target byte size, split PDFs by page or ranges, and remove image metadata while processing local files without sending file bytes over the network.

Enables AI assistants to look up Fiat, Lancia, Alfa Romeo, and Abarth ePER v84 parts data by VIN, resolve part-number supersessions, and view drawings with relevant parts highlighted.

Enables Claude to model 3D-printable parts by running Python scripts in a headless FreeCAD instance and exporting STL/3MF/STEP files. It also lets Claude visually inspect renders, check mesh integrity and overhang printability, measure volume and estimated mass, and open results in a slicer before printing.

MCP server that lets AI assistants control Adobe After Effects - ExtendScript execution, background rendering, and deep project/layer inspection - with first-class Arabic/RTL and multilingual support. 44 tools.

Enables AI clients to control background Blender jobs over stdio so they can inspect a 3D character or companion model, calibrate its anatomy and named bones, bake and export animation, and numerically verify the persisted GLB for playback review. Includes a CLI, models and workspaces that stay local unless explicitly shared.

Enables AI agents to turn long-form episodes into Shorts, thumbnails, show notes and a podcast RSS feed, then publish them to the creator's own YouTube channel using OAuth-based, credential-free access. It exposes a deny-by-default set of read, create and step-up-approved publish tools so agents can run a creator's clip pipeline end to end without holding API keys or Google credentials.

MCP server that provides image description capability using StepFun Step-3.7-flash multimodal model, enabling models to 'see' images by converting them into detailed text descriptions.

An MCP server that lets AI agents create, edit, and animate pixel-art sprites, with PNG previews after every step and support for export to GIF/APNG/spritesheets.

Enables a locally run agent or script to read and write a real Figma layer tree through a local bridge — inspecting node structure and variables, exporting screenshots into the model's context, and performing batched create/update/move/rename/delete operations that collapse into a single undo step. All traffic stays on localhost between the bridge and the Figma plugin, with design-token auditing, binding, and creation included.