spotter
Enables automated sound design spotting from Claude Code: analyze video, generate cue sheets, search or generate SFX, and export DAW-synchronized stems.
README
SPOTTER
AI-assisted sound design spotting for macOS. Analyze any video → get a complete cue sheet with timecodes → generate or search SFX → export DAW-synchronized stems.
Built by Lemö Labs.
What it is
Two things in one repo:
- Electron app — visual timeline for manual spotting, clip editing, gain, fades, and export
- MCP server — automated pipeline for use directly from Claude Code (no GUI needed)
Both share the same project format (analysis.json + media/ + export/).
Electron app (macOS)
Requirements
- macOS (Apple Silicon)
- Node.js 18+
Install & run
git clone https://github.com/GuilleMcDugan/spotter.git
cd spotter
npm install
npm run dev
Build DMG
npm run dist
# → dist/SPOTTER-1.0.0-arm64.dmg
Features
- AI video analysis (extracts frames → Claude → cue sheet)
- Multi-track timeline with drag, trim, vertical clip movement, split (S key)
- Per-clip gain and fade in/out (drag handles)
- ElevenLabs SFX generation + Freesound search, built in
- Export: WAV 16-bit / 24-bit / MP3 320k at 44.1kHz or 48kHz
- DAW-synchronized stems (each file padded to full video length)
- Auto-save timeline between sessions
- J/K/L transport + frame-accurate scrubbing
MCP server (Claude Code integration)
See mcp-server/README.md for setup and tool reference.
Quick start:
cd mcp-server
npm install && npm run build
Add to ~/.claude/settings.json:
{
"mcpServers": {
"spotter": {
"command": "node",
"args": ["/absolute/path/to/spotter/mcp-server/dist/index.js"]
}
}
}
Guía de instalación
Documentación completa en Notion (español): SPOTTER — Guía de instalación
API keys
Keys are stored locally — never in the repo.
- Electron app: Settings panel (⚙) → paste keys → stored in system keychain via
electron-store - MCP server:
configure_provider({ provider: "elevenlabs", api_key: "..." })→ stored in~/.spotter/config.json
Required:
- ElevenLabs — SFX generation
- Freesound — free SFX search
Claude API key: handled by the Claude CLI (claude auth), not by SPOTTER.
License
MIT
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Magic Component Platform (MCP)
An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
Audiense Insights MCP Server
Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.
VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
graphlit-mcp-server
The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.
Kagi MCP Server
An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.
E2B
Using MCP to run code via e2b.
Neon Database
MCP server for interacting with Neon Management API and databases
Exa Search
A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.