MaestroMCP
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Instructions
Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.
This server publishes no instructions, or was last inspected before Glama recorded them.
Capabilities
Server capabilities have not been inspected yet.
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| debug_hello_worldC | Ferramenta de debug que retorna mensagem personalizada |
| midi_list_portsC | Lists all available MIDI input and output ports |
| audio_start_captureC | Initialize real-time audio capture for MIDI-audio correlation analysis |
| audio_analyze_realtimeB | Perform real-time audio analysis with pitch detection and spectral features |
| midi_play_and_listenC | Execute MIDI sequence while analyzing audio response - core of the self-listening AI system |
| audio_midi_feedbackC | Continuous audio monitoring and intelligent learning feedback for AI improvement |
| midi_play_phraseB | 🎼 Play musical phrase with natural articulation and expression - converts 'C4 E4 G4' to legato/staccato |
| midi_send_note_enhancedA | Send MIDI note with automatic musical expression, real-time spectral/temporal/pitch analysis, and superior audio feedback. REPLACES basic midi_send_note with enhanced capabilities. |
| midi_sequence_commands_enhancedA | Execute MIDI sequence with musical intelligence and comprehensive temporal/spectral audio analysis during execution. REPLACES basic midi_sequence_commands and midi_sequence_with_articulation with enhanced capabilities. |
| midi_send_cc_enhancedA | Send MIDI CC with musical context awareness and real-time analysis of CC effects on audio output. REPLACES basic midi_send_cc with enhanced capabilities. |
| configure_musical_intelligenceC | Configure global musical intelligence settings and superior audio feedback system (sample rate, buffer size, analysis capabilities) |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
No prompts | |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
No resources | |
TDQS
Scored across 11 tools
The tools have some clear distinctions, such as between audio analysis and MIDI operations, but there is overlap and potential confusion. For example, 'midi_play_and_listen' and 'midi_sequence_commands_enhanced' both involve playing MIDI sequences with audio analysis, making their boundaries unclear. Additionally, the 'enhanced' tools replace basic ones, which could lead to misselection if both were present, but since they are replacements, this is mitigated.
Most tools follow a consistent snake_case pattern with clear prefixes like 'audio_' or 'midi_', which aids readability. However, there are minor deviations: 'debug_hello_world' uses a different naming style (no prefix, mixed language in description), and some tool names include emojis or lengthy descriptions that break the pattern slightly. Overall, the naming is mostly predictable and well-structured.
With 11 tools, the count is well-scoped for a server focused on audio and MIDI processing with AI integration. Each tool appears to serve a distinct purpose within this domain, such as capture, analysis, configuration, and playback, without feeling excessive or insufficient. This number supports comprehensive functionality while remaining manageable.
The tool set covers key aspects of audio-MIDI interaction, including capture, analysis, playback, and configuration, with enhanced versions for core operations. A minor gap is the lack of explicit tools for stopping or managing ongoing processes (e.g., stop capture or reset), but agents can likely work around this using existing tools. The domain is well-represented with no major dead ends.