"Damn Vulnerable MCP" 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.

The most capable MCP server for Final Cut Pro — 88 tools covering FCPXML editing, live FCP control, parametric puppets, and media analysis.

Hosted MCP server for Imejis. Your AI agent designs a template once, then renders on-brand images in bulk with the same layout every time, only the data changing.

An MCP server that gives Claude a conversational video-editing toolkit — trim, crop, color grade, caption, beat-sync, stabilize, and more — built on ffmpeg, faster-whisper, and yt-dlp, with optional DaVinci Resolve and CapCut integration.

Enables agents to create, inspect and edit Kdenlive project files, import and relink media, query installed MLT effects/transitions, author subtitles, and run asynchronous MLT renders, plus drive the live Kdenlive editor UI. Edits always write new files, and rendering is job-based with verification of the output.

MCP server for converting images to WebP and AVIF formats with batch processing and parallel execution.

A starter template for creating MCP servers compatible with Puch AI, featuring built-in tools for job searching and analysis, plus basic image processing capabilities. Includes authentication and deployment guidance for extending Puch AI with custom tools.

Enables AI assistants to capture screenshots from the OCP CAD Viewer, allowing visual analysis and feedback on 3D CAD models created with CadQuery or Build123d.

An agentic AI video editor for Claude. It enables editing real video through MCP: cutting, captioning, reframing, scoring, and exporting finished MP4s from actual footage.

Typed DCC-MCP control for Marmoset Toolbag 4.03+ and 5.x, enabling shell-capable agents to interact with Toolbag scenes via a shared CLI and MCP gateway.

MCP server for controlling Figma Slides — create, edit, and screenshot slides from any AI assistant that supports MCP.

Enables AI clients to control Blender's 3D workflow via an embedded MCP server.

The AIGC solution based on the MCP protocol seamlessly transforms the ComfyUI workflow into an MCP Tool with zero code, enabling LLMS and ComfyUI to join forces and focus on image generation tasks. qwen-image, flux, and FLUx-KREA can be used for image generation.

Enables capturing JPEG stills from a Raspberry Pi CSI camera and returning them as image content through the capture_image MCP tool for LLM processing.

Enables MCP-compatible agents to convert PDFs and images into Markdown, JSON, HTML, LaTeX, DOCX, or ZIP by wrapping a document parsing service's REST API as callable tools, including uploads, parsing jobs, progress polling, and result downloads.

Enables MCP hosts to control ZWO Seestar telescopes over ASCOM Alpaca, including pointing, imaging, and downloading frames. It also provides a companion astro-mcp server for stacking and processing captured frames.

MCP server for AppLaunchFlow to create App Store and Google Play screenshots with AI.

An MCP adapter that converts image responses from UE5 MCP servers into proper image content blocks, enabling AI to recognize captured images. It prevents token overflow by filtering out unnecessary data.

Enables image generation using Google's Gemini 2 API with customizable parameters like aspect ratio, number of samples, and person generation settings.

Enables scanner capture via SANE on Linux, providing tools for device discovery, scan jobs with ADF/duplex support, document batching, and multipage assembly through a local MCP server.