"Interfacing with Generative AI Tools" matching MCP servers:

Enables high-resolution image canvas tiling, spatial grid slicing, and seam blending for generative image upscaling workflows via MCP.

Enables AI agents to perform deterministic video editing operations like trim, resize, add text, and more using MCP tools.

An MCP server enabling video processing via natural language: transcription with Whisper, segment cutting with FFmpeg, and file management.

Zero-dependency MCP server for social media dimensions & first-party safe areas (Reels, TikTok, YouTube Shorts), encoder-safe aspect ratios, video bitrate math, SRT/VTT/ASS subtitle conversion, and BPM delay tables.

Enables AI agents to perform local video, audio, and file operations inside an isolated workspace, including cutting/concat videos, extracting audio, transcribing, and managing files, with typed responses and background job support.

Six local CPU MCP tools for Markdown/HTML-to-PDF conversion, PDF text extraction, safe SVG-to-PNG rendering, and PDF link and chapter inspection. Linux/WSL2; no GPU, hosted inference API, or model download required.

An MCP server implementation that integrates with Minimax API to provide AI-powered image generation and text-to-speech functionality in editors like Windsurf and Cursor.

Transforms DALL-E 3, DALL-E 2, and GPT-Image-1 into MCP-compatible tools for generating images from natural language descriptions, supporting batch creation, style control, and flexible sizing.

Enables agents to search starter-track metadata, retrieve original scene templates, and prepare editable playlist-video drafts with optional captions and a browser workspace URL.

Identify and remove AI provenance metadata (C2PA, EXIF, IPTC, XMP, TC260), visible AI-generator labels and supported invisible watermarks from images and video you generated yourself. Runs locally over stdio with uvx.

Lets AI agents inspect local or remote videos by reading metadata, detecting shots and cuts, extracting frames as images, and checking keyframes for seeking and streaming, all via local FFmpeg without an API key.

An MCP server that converts Markdown files containing Mermaid diagrams into PDF documents by rendering diagrams as SVG images. It provides a specialized tool to automate document conversion while ensuring all visual charts are correctly embedded in the final output.

Controls Ableton Live from an AI assistant with ~130 commands for tracks, instruments, effects, MIDI clips, automation, and mixing.

Image Tools MCP is a Model Context Protocol (MCP) service that retrieves image dimensions and compresses images from URLs and local files using the TinyPNG API. It supports converting images to formats like webp, jpeg/jpg, and png, providing detailed information on width, height, type, and compressi

Turns text scripts into complete videos with stock footage, AI narration, and subtitles via MCP tools for AI assistants.

Enables high-quality conversion of SVG files to PNG, ICO, and JPG formats with optimized Chinese character rendering. Supports single file, batch, and string-based conversions using multiple rendering engines including Cairo, SVGLib, and PIL.

Enables local photo grading through MCP by letting a host model inspect an image, choose a color strategy, and apply OpenCV-based LUTs to produce a graded output.

Enables LLM-driven inspection, building, modification, and visual review of Adobe After Effects compositions through structured scene-level operations and a CEP-to-ExtendScript bridge.

Enables AI agents to perform image processing tasks such as sprite sheet splitting, resizing, cropping, and batch operations on local images.

Enables AI agents to produce professional promo videos by providing tools for capture, media search, scene writing, rendering, editing, and incremental revision.