"Accessing Jira Tickets and Updating Their State" matching MCP servers:

Enables Claude AI to control Ableton Live and Max for Live, allowing music production tasks like track management, MIDI editing, and pattern generation directly from conversation.

Free Remotion video templates, creative guides and render diagnostics. No API key for local tools; optional paid hosted Studio workflows. Start with get_capabilities.

Provides tools to read PDFs, extract images, convert between PDF and DOCX, create DOCX from text, and generate PDFs from DOCX, text, or HTML.

Wallet-funded MCP client for six paid Utilia tools: Solana priority fees, transaction diagnosis and simulation, token-risk checks, PDF-to-Markdown, and audio normalization over x402. MIT-licensed and installable from npm.

Enables conversational live coding with Claude AI and TidalCycles for algorithmic music composition, allowing natural language control of patterns, channels, and state.

Extracts clean text transcripts from YouTube videos using their subtitles and returns them as plain text.

An MCP server enabling Claude Code to analyze any video (local file, URL, or Jira ticket attachment) by extracting frame images and audio transcripts, or using Gemini for native video analysis.

Enables AI assistants to remove backgrounds from images using the Poof API via URLs, file paths, or base64 encoding. It also allows users to monitor their account information and remaining credit balance.

MCP server that transforms cognitive state into generative music by mapping 13 epistemic vectors to Strudel live coding patterns, with mood presets and a web UI for interactive control.

Enables control of a running TouchDesigner instance via MCP protocol, providing tools to manage operators, parameters, and project state through a local HTTP bridge.

Enables users to search songs, play liked music or playlists, control playback and volume, and query playback status and timestamped lyrics using their own account and membership permissions.

This MCP server enables AI assistants to control a live REAPER DAW instance, including transport, tracks, FX, MIDI, media, markers, rendering, and project state, with an escape hatch for arbitrary ReaScript commands.

Turns Ableton Live into an MCP-accessible control surface, providing tools for controlling transport, tracks, clips, and devices, as well as resources for reading live state.

An MCP (Model Context Protocol) server that provides tools for uploading videos, creating processing tasks, and monitoring their progress through the ZapCap API.

The Model Context Protocol (MCP) Server built on Qiniu Cloud products supports users in accessing Qiniu Cloud Storage, intelligent multimedia services, and more through this MCP Server within the context of AI large model clients.

Enables MCP clients to download video and audio from public media URLs, extract their metadata, and poll async jobs for progress and results, plus check account usage and credit balance. Runs locally over stdio or self-hosted Streamable HTTP with per-request API key authentication.

Enables AI assistants to work with Strudel live coding patterns for music creation, including parsing mini notation, generating rhythmic patterns, accessing music theory (scales/chords), and applying pattern transformations.

Enables previewing and inspecting .riv files, including artboard dimensions, animation names and timing, state-machine names, and input names and types, from VS Code and other MCP clients.

An MCP server that exposes Ableton Live control (session state, transport, tracks, devices, clips, MIDI note editing) as tools for LLM agents, enabling natural language manipulation of a Live session.

Enables AI agents to control a Mac DJ application's decks, mixer, tempo, loops, cues, FX, stems, sampler, Automix, recording, layouts, menus, and music library. It also supports automated transitions between decks and live state feedback.

Enables agents to create and edit animated video projects through 93 tools covering scenes, elements, audio, subtitles, themes, previews, and rendering. It shares live project state with a browser-based editor so agent and user edits stay synchronized.

Lets an MCP client read your screen-and-voice recordings — timed transcripts and the frames that matter — so it can write up tasks with screenshots and file them on GitHub Issues, Linear, Jira, Trello, Asana or Azure DevOps. Everything is transcribed locally, so the agent does the AI work on your own subscription.

Lets AI agents read frame-accurate video review notes — timestamps, frames, annotations, and pointing targets tied to source elements — so they can fix rendered videos and re-check the results. Supports listing reviews, retrieving annotated frames, watching for new feedback, acknowledging, replying, resolving, dismissing, and leaving their own critique notes.

Enables AI agents to drive a real-time guitar performance by submitting musical intents, monitoring state, and controlling phrasing through a set of MCP tools.

Enables MCP clients to interact with a local-first film watch room, supporting media scanning, AI preparation, room management, timed messages, playback state, and storyboard image retrieval.

Enables Claude Code to control Ableton Live directly through a Max for Live device, letting users read set state, search samples, place clips, build Drum Racks, adjust device parameters, and generate .als project files from sample packs without launching Live.

Enables MCP-compatible clients to programmatically control and automate DaVinci Resolve, including reading project/timeline state, building and editing timelines, managing the media pool, applying color operations, and running renders.

Bridges MCP clients to a running SuperCollider IDE, enabling code evaluation, state queries, post window capture, and screenshots via OSC.

Gives coding agents the ability to hear and reason about audio by describing sounds, matching them to text, locating key moments, detecting realness, generating timelines, and critiquing soundtracks. It also lets agents synthesize and iteratively improve their own sounds in code.

Enables playing and inspecting local audio files in an MCP host with an in-conversation UI showing waveform, spectrogram, and loudness metrics, while exposing playback state and metadata to the model.