"MCP Service for Debugging Local Databases" matching MCP servers:

MCP server for programmatic video generation. Send a prompt, get an MP4.

Enables AI to create and edit local Jianying/CapCut draft projects on macOS from videos, images, audio, and text, supporting editable subtitles, keyframes, motion presets, and batch operations via MCP tools.

Private, local audio and video transcription for Claude: an MCP server that runs Whisper on your computer, on the GPU or CPU, with text, SRT subtitle, or JSON output. Works with Claude Desktop, Claude Code, and claude.ai.

Extracts and analyzes key frames from Loom videos or local video files for debugging purposes. Automatically detects scene changes and provides visual context for troubleshooting issues.

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.

Enables AI agents to search, watch, summarize, clip, and extract transcripts from YouTube videos, all without needing an API key or leaving the chat.

Enables local control of Adobe After Effects via MCP, offering offline creative skills, project inspection, and operation execution without cloud relay or an installed AE panel.

Extracts timestamped screenshots from local videos, enabling Claude to produce visual walkthroughs without audio analysis or cloud processing.

MCP server that bridges Ableton Live with AI models, enabling real-time project inspection and control such as track overview, device parameters, and audio analysis.

Enables AI assistants to inspect and organize Adobe Premiere Pro projects, edit timelines with frame-accurate cuts and trims, animate motion and opacity keyframes, and trigger exports through natural language.

Enables AI assistants to programmatically inspect projects, create compositions and layers, apply effects, animate properties, and manage render jobs in Adobe After Effects through natural language.

Downloads and analyzes videos from platforms like Instagram, YouTube, and TikTok locally, returning keyframes and optional transcripts.

Enables WorkBuddy and other MCP-compatible clients to generate images and videos from natural-language prompts through Agnes AI, returning online URLs and locally saved files.

Windows-optimized MCP server that enables control of Blender 4.0+ through 21+ tools for scene management, object manipulation, and asset downloads from PolyHaven, Sketchfab, Hyper3D, and Hunyuan3D.

Enables AI assistants to control DaVinci Resolve (Free and Studio) through 215 MCP tools covering the full Resolve scripting API, including projects, timelines, media, Fusion, color, and rendering.

MCP server for Takes, a free, open-source Mac teleprompter and recorder for talking-head videos. It lets an AI assistant write scripts and storyboards, manage takes, make edits and draft the posts for LinkedIn, X, YouTube and Shorts.

Local stdio MCP server for previewing HTML animations, inspecting frames, verifying deterministic playback, and rendering frame-exact MP4 videos on your machine. Includes an in-conversation player in MCP Apps-compatible hosts; source-available under Elastic License 2.0 (ELv2).

YouTube Content Extraction Service for the ME4 suite, enabling download, metadata, transcripts, and comments via MCP, HTTP, and ZMQ interfaces.

Enables MCP clients to operate local Adobe Premiere Pro projects, covering media ingest, bins, sequence and timeline editing, transitions, effects, keyframes, captions, markers, metadata, proxies, multicam, color, audio, and exports through 283 discoverable tools, 13 context resources, and 10 guided prompts. A bundled CEP panel provides the supported production bridge, with read-only connection verification and higher-level workflows for assembling product spots and motion-graphics demos.

Enables AI clients to drive local video editing projects through a CEP bridge, covering media ingest, sequence and timeline editing, effects, keyframes, captions, markers, audio, color, and exports across hundreds of discoverable tools. Ships context resources, guided prompts, and higher-level assembly workflows for agent-driven editing.

A local MCP server that bridges Logic Pro MIDI data via an AUv3 plugin, enabling reading, creating, and manipulating MIDI regions and tracks through tools like read_logic_track and create_midi_region.

Enables text-to-image generation through the ModelScope platform using the Qwen/Qwen-Image model. It supports customizable parameters such as negative prompts, resolution, and sampling steps within MCP-compatible clients.

Enables Claude or any AI agent to operate Live 12 Intro end to end: creating tracks and scenes, writing and quantizing MIDI clips, loading audio onto the Arrangement timeline, setting device parameters in real units, drawing clip automation, mixing with real sidechain, and rendering or analyzing audio so the agent can check its own work. It exposes 57 tools over MCP or a local JSON socket, working within the stock Intro edition's 16-track, 16-scene limits.

Enables Claude to inspect and build compositions in an open Adobe After Effects project, animate layers and effects, preview real frames, compare against reference video side by side, measure and recreate camera moves, detect cuts and beats, and render MP4s.

Renders validated declarative scene specifications into MP4 videos inside disposable, network-disabled containers, then serves an embedded player with playback controls and diagnostics through MCP Apps. Users can iteratively revise scenes conversationally, with revision history preserved and identical renders reused per account.

A stdio MCP server for Claude Desktop that provides an interactive media player, a local command runner, and file read/write/edit tools.

Enables Claude Code to use Alibaba Cloud Token Plan models via a local proxy that maps Anthropic-style model names to Alibaba IDs and provides missing endpoints like model discovery.

Local AI generation for images, audio, speech, and 3D models using open source models.

Lets GitHub Copilot record demo videos using locally installed TechSmith Snagit, capturing displays, windows, or regions to MP4 and controlling the recording flow through MCP tools.

Enables AI clients to watch and hear videos from local files or YouTube, Vimeo, and Loom links by returning timestamped key frames, a transcript, a contact sheet, and a combined timeline, with all processing done locally.