"NFT documentation and guides" matching MCP servers:

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

Lets AI assistants render HTML animations to MP4 or GIF in 16:9, 9:16 and 1:1, preview single frames to check their own work, and finish videos with royalty-free music, AI voiceover, burned-in captions, titles and logos. It renders code frame by frame in a real browser rather than generating video from a text prompt.

Identifies LEGO parts, sets, and minifigures from local image files using the Brickognize API. It provides specialized tools for specific item recognition and integrates LEGO identification capabilities into MCP-enabled environments.

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 AI agents to author node-graph-based procedural graphics as data and render them deterministically via a pinned headless engine, returning validated, hashed image artifacts with full provenance.

Enables printing labels on King Jim Tepra PRO SR5900P over Wi-Fi/LAN, supporting Japanese text, QR codes, and images through natural language.

Enables reading and creating projects in a local CapCut draft library through natural language — listing timelines, checking for missing media, and generating new edits from clips, with cuts automatically matched to the beat of a track. It works by cloning an existing draft as a structural template, so new projects inherit CapCut's undocumented file format.

MCP server for MarkItUp's AI image-annotation pipeline. Generate polished marketing-visual variations of any screenshot, regenerate, AI outpaint, and remove backgrounds — powered by Claude analysis + Gemini rendering.

Enables image generation and editing, video generation and extension, status polling, and download through the Kenari.id media APIs, saving outputs as files on disk.

Enables an AI agent to create a building from a photo, generate a facade design, and order a line-by-line cost estimate and documentation album, using country-specific materials and construction norms.

Enables read-only screen capture, OCR, and change detection without input control.

Exposes Google Gemini's Nano Banana image generation models to Claude, enabling text-to-image generation, image editing, and multi-image composition through natural language prompts.

Enables deterministic, read-only design of OpenSora video prompts and shot plans, including prompt diagnosis and access to workflow guides, without generating videos or requiring API keys.

Allows AI assistants to generate and transform high-quality images from text prompts using Google's Gemini model via the MCP protocol.

Visual documentation MCP server with 13 tools to capture terminal screenshots, syntax-highlighted code, visual diffs, PDFs, GIFs, and more for documentation workflows.

Enables LLM agents to create pixel art and animations in Aseprite by writing and headlessly executing complete Lua scripts, with API documentation and output verification.

Provides AI-powered image generation through Google's Gemini models (Flash and Pro) with intelligent model selection, aspect ratio control, and support for both direct Gemini API and CLIProxyAPI proxy routing.

MCP server for generating and decoding barcodes, QR codes, and encoding RFID EPCs according to GS1 standards. All processing is local with no network calls.

Enables agents to optimize and clean SVG vector paths, rasterize SVGs into crisp sub-pixel PNGs at custom DPI with alpha preserved, generate high-error-correction vector QR codes for payment URIs, and compress images to WebP while stripping EXIF metadata. Tools are metered via x402 USDC micropayments on Base L2.

Enables AI agents to analyze images through vision AI providers (Gemini, OpenAI, Claude), performing tasks like image description, object detection with bounding boxes, region-specific analysis, and precise color extraction without consuming context window with raw pixels.