layers-mcp
MCP server for the Layers image/video editor
Install / Use
claude mcp add noisefactorllc -- npx -y github:noisefactorllc/layers-mcpIf the server publishes to npm under a different name, use that package instead — check the repo README.
MCP Server
Model Context Protocol server
Quality Score
Category
Development & EngineeringSupported Platforms
Skill content
View source on GitHub{ "name": "layers-mcp", "version": "0.1.0", "description": "MCP server for the Layers image/video editor (Noise Factor)", "type": "module", "license": "MIT", "main": "dist/index.js", "bin": { "layers-mcp": "dist/index.js" }, "scripts": { "prepare": "npm run build", "build": "tsup && tsc --emitDeclarationOnly", "postbuild": "node -e "import{readFileSync as r,writeFileSync as w}from'fs';const f='dist/index.js';w(f,'#!/usr/bin/env node\n'+r(f,'utf8'))"", "dev": "tsup --watch", "start": "node dist/index.js", "setup": "playwright install chromium", "test": "npm run build && vitest run", "test:watch": "vitest", "smoke": "node scripts/smoke.mjs", "test:integration": "node -e "if(!process.env.LAYERS_URL){console.error('LAYERS_URL is required (e.g. http://localhost:3002 or https://layers.noisefactor.io)');process.exit(1)}" && npm run build && vitest run" }, "engines": { "node": ">=18.0.0" }, "dependencies": { "@modelcontextprotocol/sdk": "^1.30.0", "playwright": "^1.62.1" }, "devDependencies": { "@types/node": "^26.4.0", "tsup": "^8.0.0", "typescript": "^7.0.2", "vitest": "^4.1.10" }, "overrides": { "esbuild": "^0.28.1" } }
Related Skills
Agent-Reach
77.0kGive your AI agent eyes to see the entire internet. Read & search Twitter, Reddit, YouTube, GitHub, Bilibili, XiaoHongShu — one CLI, zero API fees.
ruflo
69.9k🌊 The original agent meta-harness. Deploy intelligent multi-player swarms, coordinate autonomous workflows, and build conversational AI systems. Features adaptive memory, self-learning intelligence, RAG integration, and native Claude Code / Codex / Hermes and many more Integrated
headroom
68.2kCompress tool outputs, logs, files, and RAG chunks before they reach the LLM. 20% fewer tokens for coding agents, 60-95% fewer tokens for JSON, same answers. Library, proxy, MCP server.
CowAgent
46.7kOpen-source super AI assistant & Agent Harness. Plans tasks, runs tools and skills, self-evolves with memory and knowledge. Multi-model, multi-channel. Lightweight, extensible, one-line install. (formerly chatgpt-on-wechat)
Security Score
Audited on Invalid Date
