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H Ear Server

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Enables Claude to classify audio across 7,000+ sound classes, including bird species and urban noise, with tools for batch processing, webhooks, and usage track

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About

Enables Claude to classify audio across 7,000+ sound classes, including bird species and urban noise, with tools for batch processing, webhooks, and usage tracking.

README

AI-powered sound classification for Claude. Identify sounds, detect noise events, and classify audio across 7,000+ sound classes — from urban noise to bird species.

H-ear connects Claude to the H-ear World audio classification API via the Model Context Protocol.

Quick Start

npx @h-ear/mcp-server --key YOUR_API_KEY

That's it. Claude now has 14 tools (classification, account, webhooks), a live status resource, and a guided classification prompt.

Tools

Tool Auth Description
classifyAudio Key Classify audio from a file or URL. Async submit + poll. Large files auto-chunked.
classifyBatch Key Batch classify up to 50 files at once.
listClasses None Browse 521+ sound classes across 3 taxonomies (7,000+ including species).
healthCheck None API liveness check — status, version, deployment timestamp.
usage Key API quota: minutes used, calls today, remaining balance.
listJobs Key Recent classification job history with pagination.
getJob Key Detailed job result with all detected sound events.
createWebhook Bearer Create enterprise webhook with event/taxonomy/tier filters. Returns signing secret once.
listWebhooks Bearer List all enterprise webhook registrations.
getWebhook Bearer Get webhook details including filter config and delivery stats.
updateWebhook Bearer Update webhook URL, events, status (active/paused), or filters.
deleteWebhook Bearer Permanently delete a webhook registration.
pingWebhook Bearer Send a test.ping event to verify connectivity and signing.
listWebhookDeliveries Bearer Delivery audit trail with response status and timing.

Plus:

  • Resource h-ear://status — live API status with taxonomies and class counts
  • Prompt classify-audio — guided workflow with configurable detail level

Supported Audio

Formats Max Size Max Duration
MP3, WAV, FLAC, OGG, M4A 25 MB (auto-chunked above) 10 minutes

Files over 25 MB are automatically split into overlapping chunks using ffmpeg, classified in parallel, then merged with deduplication.

Taxonomies

Taxonomy Classes Use Case
audioset-yamnet-521 521 General sound classification (default)
audioset-panns-527 527 Extended general classification
species 6,522 Bird species identification

Authentication

Get an API key from h-ear.world (Enterprise plan). Pass it via:

  • Environment variable: HEAR_API_KEY
  • CLI flag: --key YOUR_KEY
  • OAuth 2.1 + PKCE (automatic via claude.ai Connectors Directory — handled by your MCP client)

Two tools (healthCheck, listClasses) work without authentication.

Transport

Transport Endpoint
stdio (npm) npx @h-ear/mcp-server --key YOUR_KEY
Streamable HTTP https://api.h-ear.world/mcp

Documentation

Links

License

MIT

from github.com/Badajoz95/h-ear-claude

Installing H Ear Server

This server has no published package — it is built from source. Open the repository and follow its README.

▸ github.com/Badajoz95/h-ear-claude

FAQ

Is H Ear Server MCP free?

Yes, H Ear Server MCP is free — one-click install via Unyly at no cost.

Does H Ear Server need an API key?

No, H Ear Server runs without API keys or environment variables.

Is H Ear Server hosted or self-hosted?

Self-hosted: the server runs locally on your machine via the install command above.

How do I install H Ear Server in Claude Desktop, Claude Code or Cursor?

Open H Ear Server on unyly.org, pick your client tab (Claude Desktop, Claude Code, Cursor) and press Install — the config is generated automatically, no JSON editing.

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