"How to Write Django Unit Tests" matching MCP servers:

An MCP server that enables AI agents to search, retrieve, and curate free stock photos and videos from Pexels, with tools, resources, and prompts for easy integration.

An MCP server enabling agents to generate videos via the vidhook render API, with tools to validate movie definitions, start renders, and check status.

Enables drawing commands to be rendered into raster images, supporting shapes like lines, rectangles, circles, ellipses, and triangles, with results returned as inline PNGs or saved to files.

Render HTML/CSS to PNG/JPG/WebP directly from Claude Desktop, Claude Code, Cursor, or any MCP-compatible client.

Enables AI assistants to generate real images via multiple models (OpenAI, Gemini, Recraft, Seedream, Grok, Arrow) and returns usable file paths instead of base64 data.

Renders SVG to PNG so AI agents can see the SVG they generate.

An MCP server that generates MP4 b-roll videos from scene specs, enabling AI agents to create branded overlays for short-form video without After Effects.

Enables MCP-capable AI models to write, validate, and render Manic animations using the Manic platform's authoring guide and API, without any AI generation credits.

Enables Claude Code to paste images from the system clipboard for instant analysis and processing.

Enables Claude Code and Claude desktop to generate AI videos and images through Dare, with credit cost estimation, reference uploads, and generation management billed to the user's Dare credits.

Enables AI image generation using Doubao Seedream models and video generation using Doubao Seedance models through Volcano Engine's API, supporting text-to-image, image-to-image, text-to-video, and task status queries.

Enables users to convert video URLs into GIF images with customizable size, frame rate, time range, and looping, returning the GIF and a text summary to MCP clients.

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 an AI agent to capture a photo via a live camera preview, returning the image to the agent and saving it locally.

Provides structured OCR with verified bounding boxes using the space-ocr API. Allows extraction of structured fields from document images and listing of built-in templates.

Local stdio MCP service that calls GPT Image API to generate images from text, edit images with references or masks, and save images locally while returning absolute paths and file URIs.

A low-hallucination vision MCP server that uses OpenAI-compatible multimodal models with structured prompts, confidence gating, and forced JSON to reduce false claims in image analysis.

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

A Model Context Protocol server that renders Apache ECharts options to SVG, enabling AI agents to generate deterministic charts server-side without a browser.

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.