"MIDI" matching MCP servers:

An MCP server that enables AI models to control electronic music instruments by sending MIDI messages to hardware synths and drum machines. It supports various MIDI commands including notes, control changes, and system exclusive messages through USB or DIN MIDI interfaces.

Enables LLMs to compose music by describing musical intent using high-level operations like notes, chords, dynamics, and tempo, then renders the composition into standard MIDI files.

Enables AI agents to listen to MIDI keyboard performances and play notes, chords, loops, and MIDI files into synths, supporting harmonization, replay, and live backing tracks without a DAW.

Provides atomic music-theory and MIDI tools for composing, enabling LLMs to chain deterministic steps like scale/chord lookups, degree resolution, rhythm generation, and MIDI rendering.

A FastMCP server that creates a virtual MIDI output port, allowing LLMs to generate and send MIDI data to any software that accepts MIDI input.

Enables Claude AI to generate professional, production-ready MIDI files (chord progressions, drum patterns, bass lines, melodies, and full arrangements) compatible with any DAW including Logic Pro, Ableton Live, FL Studio, and more.

Enables control of the Elektron Digitakt II drum machine through MIDI commands. Supports triggering drum sounds, adjusting parameters, switching patterns, and sending note sequences programmatically.

MCP server that transcribes songs into multi-track General MIDI files, identifying instruments and structuring tracks. Accepts audio files and manages transcription jobs with queue and ETA.

Provides local MCP tools for editable MIDI, Serum 2 preset creation, FL Studio rendering, and reference-audio comparison, enabling users to create and refine instrumental recreations while preserving original vocal audio.

Exposes 16 music21 MIDI analysis and editing tools to AI agents, enabling them to read, edit, generate, and analyze MIDI files through natural language.

Enables AI assistants to create, parse, edit, and render MIDI files through standard MCP tools, returning absolute file paths to support iterative music generation and revision.

Enables coding agents to read Jira Cloud issues, search via JQL, and retrieve comments, attachments, and change history through a lightweight, context-efficient MCP toolset.

MCP server that serves PostHog JavaScript SDK documentation to coding agents via efficient retrieval, offering tools to query and assemble cited context for tasks like capturing custom events.

An AI music production and mixing partner for Ableton Live via MCP. Program expressive MIDI clips, design synth parameters, shape automation curves, arrange on the timeline, and mix tracks with real-time verified feedback.

PostFader V12: 85 tools and 8 resources for FL Studio on Windows and macOS. Inspect projects, analyze mixes, control plug-ins, compose MIDI, select sounds, recover production runs, review revisions, inspect notes, and render saved FLPs. Works with local MCP clients including Claude, Codex and Cursor. Starts read-only; no automatic saves. Requires FL Studio, Universal Bridge and virtual MIDI.

A game-agnostic MCP toolkit for composing chiptune/retro MIDI and rendering game audio, enabling AI agents to generate multi-track MIDI files and render them to OGG/WAV.

Enables Claude AI to convert, edit, and analyze MuseScore files (.mscz, .musicxml, MIDI) through natural language commands, supporting format conversion, transposition, harmony analysis, and more.

Enables an MCP client to inspect and modify a running digital audio workstation session through a local Python remote-script TCP bridge, exposing tools for session and track structure, clip slots and MIDI notes, devices and browser items, and mixer/transport control. Read and bulk-write operations cover tempo, naming, clip creation and note editing, muting/soloing/arming, playback and scene launching, and device parameter loading and adjustment.

Lightweight MCP server that crawls Confluence subtrees and serves cached Markdown, enabling search and retrieval of Confluence pages via MCP tools.

Local-first MCP graph intelligence server providing RRF hybrid search, multi-hop traversal, source snippets, and rationale nodes for AI agents, without Docker or web UI.