CCM
/MCP
SkillsMCPMarketplacesDigestToolsAdvertise

This week in Claude

Every Monday: Claude Code, Agent SDK, MCP, and the Anthropic platform moves worth your time.

Skills by Category
Frontend DevelopmentBackend & APIsTesting & QASecurityDevOps & CI/CDGit & Pull RequestsDocumentationCode Review & QualityAI & Agent BuildingSkill Development
MCP Servers by Category
Sales & MarketingWeb & Browser AutomationDatabasesAI & LLM ToolsCloud & InfrastructureCommunication & MessagingDeveloper ToolsDesign & CreativeDocuments & KnowledgeSearch & Web Crawling
Marketplaces by Category
AI Agents & OrchestrationLLM IntegrationDevelopment ToolsFrontend & UIBackend & APIsDatabasesTesting & Code QualityDevOps & CloudSecurity & ComplianceGit & Version Control

Claude Code Marketplaces

Discover Claude Code plugins, extensions, and tools. Automatically updated directory of Anthropic Claude AI marketplaces with development tools, productivity plugins, and integrations.

Resources

  • Browse Skills
  • Browse MCP Servers
  • Browse Marketplaces
  • Plugins Reference

Community

  • About
  • Tools
  • Feedback
  • Privacy Policy
  • Advertise

Built for the Claude Code community with Claude Code by @mertduzgun

Independent project, not affiliated with Anthropic

Webear

asume21/webear
authSTDIOregistry active
Summary

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.

CodeRabbit
CodeRabbit
AI writes the code. CodeRabbit catches the slop.
Try For Free →
AppSignal
AppSignal
Monitor with ease. Code with confidence.
Start Free Trial →
AI notepad for back-to-back meetings
AI notepad for back-to-back meetings
Notes, actions and memory. Without a meeting bot. First month 100% off.
Download for free →
Keep your Mac awake
Keep your Mac awake
Keep your Mac awake while Claude Code and 40+ AI agents run. Sleeps when they're idle.
One time payment $9 →
Email for Agents: Free tier availableEmail for Agents: Free tier available
Email for Agents: Free tier available
Give your AI agent a complete email layer—sending, inbound inboxes, and sandbox testing.
Get 4K emails/month free →
Context.devContext.dev
Context.dev
Integrate web data into your AI product. One API to scrape website & brand data.
Get API Key Now →
CodeScene MCP ServerCodeScene MCP Server
CodeScene MCP Server
Your agent targets a perfect 10 Code Health score. Deterministic. Every commit.
Try For Free →
Make your agent a DeFi expert
Make your agent a DeFi expert
Agent, run crypto. Access onchain data & trade routes via 1inch.
Install now →
CodeRabbit
CodeRabbit
AI writes the code. CodeRabbit catches the slop.
Try For Free →
AppSignal
AppSignal
Monitor with ease. Code with confidence.
Start Free Trial →
AI notepad for back-to-back meetings
AI notepad for back-to-back meetings
Notes, actions and memory. Without a meeting bot. First month 100% off.
Download for free →
Keep your Mac awake
Keep your Mac awake
Keep your Mac awake while Claude Code and 40+ AI agents run. Sleeps when they're idle.
One time payment $9 →
Email for Agents: Free tier availableEmail for Agents: Free tier available
Email for Agents: Free tier available
Give your AI agent a complete email layer—sending, inbound inboxes, and sandbox testing.
Get 4K emails/month free →
Context.devContext.dev
Context.dev
Integrate web data into your AI product. One API to scrape website & brand data.
Get API Key Now →
CodeScene MCP ServerCodeScene MCP Server
CodeScene MCP Server
Your agent targets a perfect 10 Code Health score. Deterministic. Every commit.
Try For Free →
Make your agent a DeFi expert
Make your agent a DeFi expert
Agent, run crypto. Access onchain data & trade routes via 1inch.
Install now →

webear

npm version npm downloads License: MIT MCP Compatible

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.


AI Web Perception Demo


What It Does

ToolDescription
capture_audioRecord a short clip (500ms–30s) of what your web app is outputting right now
analyze_audioSignal analysis: RMS, peak dB, clipping, spectral centroid, frequency bands, BPM, timing jitter
describe_audioPlain-English AI description — "the kick is boomy with heavy sub buildup around 80 Hz"
diff_audioCompare 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 webear

2. 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

<script src="node_modules/webear/client-snippet.js"></script>
<script>WebEar.init()</script>

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

  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 (< 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.

Configuration

Environment Variables

VariableDefaultDescription
WEBEAR_BASE_URLhttp://localhost:4000URL 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_URLhttps://www.codedswitch.comOverride the analysis API base (advanced / self-hosted)

Middleware Options

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)
})

Client Options

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)
})

Requirements

  • Node.js >= 18
  • A browser that supports MediaRecorder (Chrome, Firefox, Edge, Safari 14+)
  • A CODEDSWITCH_API_KEY for analysis (free at 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:

SensorWhat it perceives
WebEarAudio — mix quality, rhythm, instruments, clipping
WebEyeVisual — canvas, UI layout, animations, screenshots
WebSensePerformance — frame rate, memory, audio latency
WebNerveNetwork — API latencies, connection quality, storage
WebShieldSecurity — cookies, storage exposure, CSP, framing
WebLogConsole — logs, warnings, errors, uncaught exceptions

Install the full browser SDK

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 },
})

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

SensorToolCreditsDescription
Earcapture_audioFreeRecord live tab audio
Earanalyze_audio1BPM, loudness, frequency bands, clipping, dynamic range
Eardescribe_audio2AI plain-English description — instruments, genre, mood, mix notes
Eardiff_audio1Compare two captures — loudness, tone, timing deltas
Eargroove_score2Grid alignment, swing factor, consistency (0–100%)
Earcapture_and_analyze1Capture + analysis in one call
Earmix_coach3Structured mixing feedback
Eyecapture_videoFreeRecord canvas/video from the tab
Eyedescribe_video2AI visual description — layout, colors, bugs
Eyediff_visuals2Compare two visual captures
Sensecapture_telemetryFreeFPS, memory, layout shifts, audio latency
Senseanalyze_telemetry1Frame drops, memory pressure, audio underruns
Nervecapture_nerveFreeAPI timings, connection quality, storage size
Nerveanalyze_nerve1Slow APIs, connection quality, storage bloat
Shieldcapture_shieldFreeCookies, CSP, storage exposure, framing
Shieldanalyze_shield1CORS issues, non-HttpOnly cookies, missing CSP
Logcapture_logsFreeConsole output + uncaught exceptions
Loganalyze_logs1Error patterns, stack traces, repeated warnings

Get an API Key

  1. Create a free account at codedswitch.com.
  2. Open 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 (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.

License

MIT — see LICENSE

Author

Built by @asume21 — CodedSwitch

Featured
CodeRabbit
CodeRabbit
AI writes the code. CodeRabbit catches the slop.
Try For Free →
AppSignal
AppSignal
Monitor with ease. Code with confidence.
Start Free Trial →
AI notepad for back-to-back meetings
AI notepad for back-to-back meetings
Notes, actions and memory. Without a meeting bot. First month 100% off.
Download for free →
Keep your Mac awake
Keep your Mac awake
Keep your Mac awake while Claude Code and 40+ AI agents run. Sleeps when they're idle.
One time payment $9 →
Email for Agents: Free tier availableEmail for Agents: Free tier available
Email for Agents: Free tier available
Give your AI agent a complete email layer—sending, inbound inboxes, and sandbox testing.
Get 4K emails/month free →
Context.devContext.dev
Context.dev
Integrate web data into your AI product. One API to scrape website & brand data.
Get API Key Now →
CodeScene MCP ServerCodeScene MCP Server
CodeScene MCP Server
Your agent targets a perfect 10 Code Health score. Deterministic. Every commit.
Try For Free →
Make your agent a DeFi expert
Make your agent a DeFi expert
Agent, run crypto. Access onchain data & trade routes via 1inch.
Install now →

Configuration

WEBEAR_BASE_URL

URL of your dev server where WebEar middleware is mounted

CODEDSWITCH_API_KEY*secret

API key from codedswitch.com for audio analysis

Categories
Media & Entertainment
Registryactive
Packagewebear
TransportSTDIO
AuthRequired
UpdatedMar 28, 2026
View on GitHub

Related Media & Entertainment MCP Servers

View all →
Social Media Api

io.github.socialapishub/social-media-api

Unified social media API for AI agents. Access Facebook, Instagram, TikTok, and more.
1
xpay Social Media

io.github.xpaysh/social-media

96 social media scraping tools. Twitter/X, LinkedIn, Instagram, TikTok, Reddit, YouTube.
Youtube Media Mcp Server

com.thenextgennexus/youtube-media-mcp-server

YouTube video search with transcript extraction as first-class output.
Youtube Video Analyzer

io.github.ludmila-omlopes/youtube-video-analyzer

MCP stdio server for analyzing YouTube videos with Google Gemini
2
Social Media Ai Mcp

csoai-org/social-media-ai-mcp

social-media-ai-mcp MCP server by MEOK AI Labs
EzBiz Social Media Analytics

com.ezbizservices/social-media

AI-powered social media intelligence: profile analysis, engagement scoring, and trend detection.