Taps into your browser's Web Audio API output and lets Claude analyze what your app is actually rendering in real time. Installs as Express middleware in your dev server, captures audio from the AudioContext graph (not your microphone), then exposes four tools: capture_audio for recording clips, analyze_audio for signal metrics like RMS, spectral centroid, frequency bands, and clipping, describe_audio for plain English summaries, and diff_audio to compare two captures. Works with raw Web Audio, Tone.js, or Three.js audio setups. Requires a CodedSwitch API key for the analysis backend. Useful when you need Claude to hear that your bass is muddy or your timing is drifting without exporting files or recording through a mic.
Give your AI real senses — hear, see, and feel any web app.
An MCP server + browser SDK that gives AI coding assistants direct sensory access to a live web application. Audio, visuals, performance, network, security, and console — captured from the browser, analyzed in real time, delivered via MCP.
"The beat sounds muddy" → your AI captures 3 seconds, measures the spectral centroid at 580 Hz with 45% energy below 250 Hz, and tells you exactly why.

| Tool | Description |
|---|---|
capture_audio | Record a short clip (500ms–30s) of what your web app is outputting right now |
analyze_audio | Signal analysis: RMS, peak dB, clipping, spectral centroid, frequency bands, BPM, timing jitter |
describe_audio | Plain-English AI description — "the kick is boomy with heavy sub buildup around 80 Hz" |
diff_audio | Compare two captures and flag what changed — loudness, tone, timing, clipping |
Browser (Web Audio API)
↓ MediaRecorder taps the AudioContext output node
↓ Uploads WebM blob via HTTP POST
Express Middleware (your dev server)
↓ Stores captures in memory, dispatches commands via SSE
MCP Server (stdio — runs inside your IDE)
↓ Retrieves captures, sends to CodedSwitch analysis API
AI Coding Assistant
→ "Your bass band is 42% of the mix (high), spectral centroid
is 580 Hz (muddy), and timing jitter is 23ms — the scheduler
is drifting under load."
The key difference from every other audio MCP: this taps the Web Audio graph directly, bypassing room acoustics, microphone hardware, and the need to export files.
npm install webear
import express from 'express'
import { webearMiddleware } from 'webear/middleware'
const app = express()
app.use(express.json())
// Mount the audio debug bridge (automatically disabled in production)
app.use('/api/webear', webearMiddleware())
app.listen(5000)
Option A — auto-detect everything (Tone.js or raw Web Audio)
import WebEar from 'webear/client'
WebEar.init()
Option B — explicit AudioContext
const ctx = new AudioContext()
const masterGain = ctx.createGain()
masterGain.connect(ctx.destination)
WebEar.init({ audioContext: ctx, outputNode: masterGain })
Option C — Tone.js project
import * as Tone from 'tone'
WebEar.init({ toneJs: true })
Option D — Three.js WebGL Game
import * as THREE from 'three'
const listener = new THREE.AudioListener()
camera.add(listener)
WebEar.init({ tapNode: listener.getInput() })
Option E — plain script tag
<script src="node_modules/webear/client-snippet.js"></script>
<script>WebEar.init()</script>
Claude Code (.mcp.json in project root):
{
"mcpServers": {
"webear": {
"command": "npx",
"args": ["webear"],
"env": {
"WEBEAR_BASE_URL": "http://localhost:5000",
"CODEDSWITCH_API_KEY": "your-key-here"
}
}
}
}
Cursor (.cursor/mcp.json):
{
"mcpServers": {
"webear": {
"command": "npx",
"args": ["webear"],
"env": {
"WEBEAR_BASE_URL": "http://localhost:5000",
"CODEDSWITCH_API_KEY": "your-key-here"
}
}
}
}
Windsurf (mcp_config.json):
{
"webear": {
"command": "npx",
"args": ["webear"],
"disabled": false,
"env": {
"WEBEAR_BASE_URL": "http://localhost:5000",
"CODEDSWITCH_API_KEY": "your-key-here"
}
}
}
CODEDSWITCH_API_KEY. Keys start with wbr_.Free tier: 50 analyses/day. No credit card required.
"Capture 3 seconds and tell me why the bass sounds muddy."
"Compare the audio before and after my last commit."
"Is there any clipping in the high-frequency range?"
analyze_audio── Audio Analysis Report ──────────────────────────────
Duration: 3.02s
── Loudness ─────────────────────────────────────────
RMS: -12.4 dBFS
Peak: -1.2 dBFS
Dynamic range: 11.2 dB
Crest factor: 3.63
Clipping: none
── Tone ──────────────────────────────────────────────
Spectral centroid: 2847 Hz
DC offset: 0.00012 (ok)
── Frequency Bands ───────────────────────────────────
Sub (20-80 Hz): 8.2%
Bass (80-250 Hz): 22.1%
Mid (250-2k Hz): 38.4%
Hi-mid (2-6k Hz): 21.8%
High (6k+ Hz): 9.5%
── Rhythm ────────────────────────────────────────────
Estimated BPM: 92
Onset count: 12
Timing jitter: 4.2 ms std dev
── Summary ───────────────────────────────────────────
Loudness: -12.4 dBFS RMS, peak -1.2 dBFS. Tone: balanced (centroid 2847 Hz).
Band mix — sub: 8% | bass: 22% | mid: 38% | hi-mid: 22% | high: 10%.
Rhythm: estimated 92 BPM, 12 onsets detected. Timing: very tight (< 5 ms jitter).
diff_audio── Audio Diff: a1b2c3d4… → e5f6g7h8… ──
── Loudness ──────────────────────────────────────────
RMS: -14.2 dBFS → -12.4 dBFS (+1.8 dBFS)
⚠ Peak: -3.1 dBFS → -0.2 dBFS (+2.9 dBFS)
⚠ CLIPPING INTRODUCED — gain staging regression
── Tone ──────────────────────────────────────────────
⚠ Spectral centroid: 2847.0 Hz → 1920.0 Hz (-927.0 Hz)
── Interpretation ────────────────────────────────────
A gain bug was introduced that causes clipping.
Tonal character changed noticeably — EQ or filter behaviour may have shifted.
| Variable | Default | Description |
|---|---|---|
WEBEAR_BASE_URL | http://localhost:4000 | URL of your dev server (where middleware is mounted) |
CODEDSWITCH_API_KEY | — | API key from codedswitch.com — required for analyze_audio and describe_audio |
MCP_API_URL | https://www.codedswitch.com | Override the analysis API base (advanced / self-hosted) |
webearMiddleware({
maxCaptures: 50, // Max captures in memory (default: 50)
maxAgeMins: 10, // Auto-evict after N minutes (default: 10)
maxUploadBytes: 50e6, // Max upload size (default: 50MB)
devOnly: true, // Disable in production (default: true)
})
WebEar.init({
audioContext: myCtx, // Your AudioContext instance
outputNode: myGainNode, // The node to tap (defaults to destination)
toneJs: true, // Auto-detect Tone.js context
bridgeBase: '/api/webear', // Override API path
devOnly: true, // Only init outside of production (default: true)
})
MediaRecorder (Chrome, Firefox, Edge, Safari 14+)CODEDSWITCH_API_KEY for analysis (free at codedswitch.com)diff_audioMicrophone MCPs capture room sound — your fan noise, chair creaks, and room reverb are all in the recording. webear taps the Web Audio API before it hits the DAC, giving you a clean digital signal with no room artifacts.
WebEar started as audio-only. Web Perception expands it to 6 senses:
| Sensor | What it perceives |
|---|---|
| WebEar | Audio — mix quality, rhythm, instruments, clipping |
| WebEye | Visual — canvas, UI layout, animations, screenshots |
| WebSense | Performance — frame rate, memory, audio latency |
| WebNerve | Network — API latencies, connection quality, storage |
| WebShield | Security — cookies, storage exposure, CSP, framing |
| WebLog | Console — logs, warnings, errors, uncaught exceptions |
import { WebPerception } from 'webear/perception'
WebPerception.init({
apiKey: 'wbr_YOUR_API_KEY',
relayUrl: 'https://www.codedswitch.com',
sensors: ['ear', 'eye', 'sense', 'nerve', 'shield', 'log'],
})
Or use a single sensor:
import { WebEar } from 'webear/perception'
WebEar.init({
apiKey: 'wbr_YOUR_API_KEY',
ear: { audioContext: myCtx, audioNode: masterGain },
})
{
"mcpServers": {
"webear": {
"url": "https://www.codedswitch.com/api/webear/mcp/sse",
"headers": {
"Authorization": "Bearer wbr_YOUR_API_KEY"
}
}
}
}
| Sensor | Tool | Credits | Description |
|---|---|---|---|
| Ear | capture_audio | Free | Record live tab audio |
| Ear | analyze_audio | 1 | BPM, loudness, frequency bands, clipping, dynamic range |
| Ear | describe_audio | 2 | AI plain-English description — instruments, genre, mood, mix notes |
| Ear | diff_audio | 1 | Compare two captures — loudness, tone, timing deltas |
| Ear | groove_score | 2 | Grid alignment, swing factor, consistency (0–100%) |
| Ear | capture_and_analyze | 1 | Capture + analysis in one call |
| Ear | mix_coach | 3 | Structured mixing feedback |
| Eye | capture_video | Free | Record canvas/video from the tab |
| Eye | describe_video | 2 | AI visual description — layout, colors, bugs |
| Eye | diff_visuals | 2 | Compare two visual captures |
| Sense | capture_telemetry | Free | FPS, memory, layout shifts, audio latency |
| Sense | analyze_telemetry | 1 | Frame drops, memory pressure, audio underruns |
| Nerve | capture_nerve | Free | API timings, connection quality, storage size |
| Nerve | analyze_nerve | 1 | Slow APIs, connection quality, storage bloat |
| Shield | capture_shield | Free | Cookies, CSP, storage exposure, framing |
| Shield | analyze_shield | 1 | CORS issues, non-HttpOnly cookies, missing CSP |
| Log | capture_logs | Free | Console output + uncaught exceptions |
| Log | analyze_logs | 1 | Error patterns, stack traces, repeated warnings |
wbr_.Free tier: 50 analyses/day, no credit card required.
See CONTRIBUTING.md.
MIT — see LICENSE
Built by @asume21 — CodedSwitch
WEBEAR_BASE_URLURL of your dev server where WebEar middleware is mounted
CODEDSWITCH_API_KEY*secretAPI key from codedswitch.com for audio analysis
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com.thenextgennexus/youtube-media-mcp-server
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csoai-org/social-media-ai-mcp
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