"GitHub Actions" matching MCP servers:

Analyzes YouTube videos and X (Twitter) feeds to extract transcripts, generate takeaways, TLDRs, social hooks, and comic-style infographics, and syncs results to GitHub, all callable as MCP tools.

Enables generating and editing images through an Azure Foundry deployment, with GitHub Copilot and editable presentation workflows.

This MCP server lets AI clients inspect N.I.N.A. equipment and telemetry, write and persist observation plans, and load, run, and tear down imaging sequences. It also supports hardware actions like parking, homing, and warming the camera for complete astrophotography sessions.

An MCP server that provides access to the Midjourney Best Experience API for generating and manipulating images. It enables users to execute prompts and perform actions like upscaling, variations, and zooming directly within MCP-compatible applications.

Connects AI models to the tsuke.ai studio so they can paint collaboratively on shared canvases, with tools for spawning, claiming, previewing, contributing, signing, releasing, and heartbeat actions.

Enables AI assistants to search a self-hosted photo and video library, view photos, and manage albums through MCP, with all actions scoped to the connected account and vault items hidden.

Enables MCP-capable agents to verify C2PA Content Credentials entirely offline from base64 file bytes, returning validation state, signer chain, hard-binding results, actions, issues, and portable provenance cards without any upload or network calls.

Enables MCP clients to perform validated, authenticated project, timeline, media, marker, and export-queue operations in Adobe's video editor through a local UXP panel. It supports safe previews and explicit approval for destructive actions.

Enables AI applications to upload images and videos to GitHub issues, pull requests, and comments through the Model Context Protocol.

Enables agents to perform structured shopping actions and retrieve targeted product images for visual comparison, matching, and aesthetic recommendations.

Enables AI agents to see and operate a real Android phone over adb by fusing live screenshots with UI-tree data, supporting look, tap, swipe, type, and screenshot actions through any MCP client.

Enables image generation through AI Playground's local ComfyUI backend via VS Code or GitHub Copilot, supporting PNG creation with configurable prompts, dimensions, and seeds through a local MCP server.

Enables AI agents to create and manage video projects, write story and brief, convert, estimate costs, propose paid actions, run approved proposals, discard and restore assets.

A local MCP server that captures screenshots and narrated screen recordings, then turns visual feedback into Markdown reports with screenshots and timestamps. Its nine tools cover screen capture, video analysis, screen descriptions, and exporting findings to GitHub or Linear; desktop capture targets macOS and Windows.

Enables controlling Adobe Photoshop from an MCP client, providing tools for layers, adjustments, masks, selections, filters, text, actions, and file operations, with configurable permission levels and extension support.

Enables a local LLM to direct Unreal Engine 5 scenes through verified task-level macros and bounded workflows, applying character animations, measuring poses and foot placement, and capturing evidence while restoring state on failure. It also supports plain-language orders for character actions, crowds, and reference-video generation without requiring a small model to compose hundreds of atomic engine tools.

Enables text-only language models to 'see' and describe images by calling multimodal APIs (OpenAI, Anthropic) for image analysis.