webear
Give AI assistants ears: capture and analyze live Web Audio API output from any running web app
Documentation
webear
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.

What It Does
| 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 |
How It Works
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.
Quick Start
1. Install
npm install webear2. Add the Express middleware to your dev server
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)3. Add the client snippet to your web app
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
WebEar.init()4. Configure your IDE
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"
}
}
}5. Get an API key — optional, and not to start
`analyze_audio` works with no key and no account. If `ffmpeg` is on your PATH,
it decodes and analyzes the capture on your machine and returns a basic report:
duration, loudness, peak level and whether the audio is clipping. Nothing is
uploaded. Try the tool before you sign up for anything.
A key unlocks the parts that need more than arithmetic:
| No key | With key | |
|---|---|---|
| `capture_audio` | ✓ | ✓ |
| `analyze_audio` | Basic — duration, loudness, peak, clipping (local) | Full — spectral centroid, band energy, crest factor, BPM, timing jitter |
| `describe_audio` — what it SOUNDS like | — | ✓ |
| `mix_coach` — measured + heard | — | ✓ |
| `diff_audio` — before/after | — | ✓ |
To get one:
1. Create a free account at **codedswitch.com**.
2. Go to **codedswitch.com/developer (also in the account menu as Developer API**).
3. Click Generate API Key — that value is your `CODEDSWITCH_API_KEY`. Keys start with `wbr_`.
Free tier: 50 analyses/day. No credit card required.
6. Start your dev server, open your app, play audio, then ask your AI:
> "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?"
Example Output
`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 (= 18
- A browser that supports `MediaRecorder` (Chrome, Firefox, Edge, Safari 14+)
- A `CODEDSWITCH_API_KEY` for analysis (free at [codedswitch.com](https://www.codedswitch.com))
---
## Who Is This For?
- **Web Audio / Tone.js developers** — debug beats, synths, effects, and mixing without leaving your IDE
- **Game audio developers** — verify sound effects, spatial audio, and mixing in real-time
- **Music app builders** — catch regressions between code changes with `diff_audio`
- **Podcast / streaming apps** — validate audio quality, levels, and encoding
- **Anyone whose app makes sound** — if it has a Web Audio graph, your AI can now hear it
---
## Why Not Just Use the Microphone?
Microphone 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.
---
## Web Perception — Full Sensor Suite
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 |
### Install the full browser SDKimport { 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 },
})
### Connect via MCP (hosted relay — no local server required){
"mcpServers": {
"webear": {
"url": "https://www.codedswitch.com/api/webear/mcp/sse",
"headers": {
"Authorization": "Bearer wbr_YOUR_API_KEY"
}
}
}
}
### Available MCP Tools
| 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 |
### Get an API Key
1. Create a free account at **[codedswitch.com](https://www.codedswitch.com)**.
2. Open **[codedswitch.com/developer](https://www.codedswitch.com/developer)** — also linked as **Developer API** in the account menu.
3. Click **Generate API Key** and copy it. Keys start with `wbr_`.
Free tier: 50 analyses/day, no credit card required.
---
## Changelog
### 2.0.1
- **Fixed the getting-started path for API keys.** The previous instruction
("Settings → WebEar") was wrong — there is no WebEar section under Settings.
Keys live at **[codedswitch.com/developer](https://www.codedswitch.com/developer)**
(linked as **Developer API** in the account menu). Both the Quick Start and the
Web Perception sections now point to the correct place.
- The SDK's "missing API key" console error now links straight to the key page.
## Contributing
See [CONTRIBUTING.md](./CONTRIBUTING.md).
## License
MIT — see [LICENSE](./LICENSE)
## Author
Built by [@asume21](https://github.com/asume21) — [CodedSwitch](https://www.codedswitch.com)Frequently asked questions
What is webear?
webear is Give AI assistants ears: capture and analyze live Web Audio API output from any running web app
How do I install webear?
Open the GitHub repository and follow its README. Most MCP servers are added to your client's MCP config, then called by your agent.
Is webear open source?
Yes — it is hosted on GitHub at https://github.com/asume21/webear and has 1 stars.
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