We provide all the information about MCP servers via our MCP API.
curl -X GET 'https://glama.ai/api/mcp/v1/servers/tylerjharden/flemcee'
If you have feedback or need assistance with the MCP directory API, please join our Discord server
# Flemcee Roadmap
This roadmap captures planned expansions for arrangement, mixing, sound design, and true listening workflows, plus ideas for creative AI-agent interactions.
## Arrangement Workflows
Goals: turn loops and sketches into structured songs with intros, drops, breakdowns, and transitions.
Planned capabilities:
1. Clip/Pattern placement primitives
- Place pattern on playlist track at time or bar boundaries.
- Duplicate and offset patterns to extend arrangement.
- Batch operations (repeat N bars, alternating patterns).
2. Section builders
- Create sections (intro/verse/chorus/bridge/outro) by naming, coloring, and placing patterns.
- Auto-structure length from reference style (e.g., 8-16-8-16 bars).
3. Arrangement templates
- Genre templates that map pattern roles to timeline positions (hip-hop, house, EDM, pop).
- Automatic creation of variation patterns (e.g., fill every 8 bars).
4. Playlist track management
- Create, rename, color, and route playlist tracks.
- Grouping by role (drums, bass, music, vocals, FX).
5. Markers and navigation
- Add markers with labels; jump between sections.
- Quick navigation tools for AI agents (e.g., “go to chorus 2”).
## Mixing Workflows
Goals: quick, consistent rough mixes and repeatable balancing tasks.
Planned capabilities:
1. Intelligent gain staging
- Measure peaks/RMS over time (via audio analysis or FL meter sampling).
- Normalize tracks to target RMS/LUFS per role (drums, bass, vocals).
2. Bus routing & stem creation
- Auto-create buses (drum bus, music bus, vocal bus).
- Route channels to buses based on naming or tags.
3. Plugin chain management
- Insert common plugins (EQ, compressor, limiter) with presets.
- Apply “mix snapshots” for recallable settings.
4. Automation and macro controls
- Create automation clips for volume, filter sweeps, reverb sends.
- Map macros for high-level mix control.
5. Mix validation
- Check clipping on master and buses.
- Detect silent tracks, excessive low-end, or missing mono compatibility.
## Sound-Design Workflows
Goals: synth programming, layering, and audio transformation.
Planned capabilities:
1. Instrument/preset management
- Load instruments by name/category.
- Save and recall presets (locate preset folders and apply).
2. Layering and routing
- Stack instruments into layered buses with per-layer gain/pan.
- Multi-layer macro (e.g., “warm pad + airy top + noisy texture”).
3. Creative FX chains
- Build template chains (lo-fi, vintage, wide stereo, shimmer).
- Randomize/iterate within constraints.
4. Resampling
- Render selected pattern to audio, re-import as sampler.
- Apply slicing and sequence into new patterns.
5. Modulation and performance
- Add LFO/automation to filter, pitch, reverb send, etc.
## True Listening (Audio Analysis) Workflow
Goals: allow AI agents to “hear” and reason about the project using external audio analysis.
Planned capabilities:
1. Render pipeline
- Render stems or full mix to disk.
- Export in a consistent folder with timestamps.
2. Analysis engine (external)
- Loudness (LUFS), peak, crest factor.
- Spectral balance, low-end buildup, harshness detection.
- Transient and rhythmic density analysis.
3. Feedback loop
- Generate targeted corrective actions (EQ, gain, compression).
- Iterate: re-render, re-analyze, compare deltas.
4. Reporting
- Summarize findings for each stem and the master.
- Provide actionable suggestions with confidence.
## Creative Agent Interactions (Future Ideas)
These are designed as “intent-to-action” tools that combine multiple FL Studio operations.
1. Project “storyboarding”
- “Turn this 8-bar loop into a 2-minute song in the style of 90s boom bap.”
- Agent builds arrangement, adds variation fills, and creates intro/outro.
2. Mix as a dialog
- “Make the vocals sit forward but keep the drums punchy.”
- Agent adjusts gain, EQ, compression, and sends, then reports changes.
3. Live performance prep
- “Create a live set version with 8-bar DJ-friendly transitions.”
- Agent inserts markers, simplifies patterns, and adds automation.
4. Sound design prompt
- “Make a dark, evolving pad with movement.”
- Agent loads a synth, applies layered detune, LFO automation, reverb, and saves preset.
5. Auto-variation engine
- “Generate 4 variations of this pattern with subtle rhythmic changes.”
- Agent clones patterns and edits steps/notes.
6. Stems and deliverables
- “Export stems named and organized for a mix engineer.”
- Agent renders stems with naming conventions.
7. Style transfer goals
- “Make this beat feel more lo-fi.”
- Agent applies filtering, saturation, wow/flutter, and noise.
8. Collaborative AI notes
- “Annotate this song with notes for a human mixer.”
- Agent inserts markers and exports notes.
9. Error detection
- “Find and fix phase issues between kick and bass.”
- Agent analyzes waveforms (with external analysis) and adjusts timing/polarity.
10. Arrangement critique
- “Tell me where the energy drops and how to fix it.”
- Agent analyzes structure and suggests or applies changes.