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server for the H-ear World audio classification API — connect Claude, ChatGPT, and other AI agents to 521+ sound classes","maintainers":[{"name":"badajoz95","email":"paulanthonyday@hotmail.com"}],"readme":"# @h-ear/mcp-server\n\nMCP server for the [H-ear World](https://h-ear.world) audio classification API. Connect Claude, ChatGPT, Copilot, and other AI agents to 521+ sound classes.\n\n## Quick Start\n\n```bash\nnpx @h-ear/mcp-server --key ncm_sk_your_key\n```\n\n## Authentication\n\nThree ways to authenticate, from easiest to most manual:\n\n| Method | Setup | Best For |\n|--------|-------|----------|\n| **claude.ai Connector** | Click \"Add\" in claude.ai Connectors Directory | claude.ai web/mobile (OAuth automatic) |\n| **API Key (stdio)** | Set `HEAR_API_KEY` in config | Claude Desktop, Claude Code |\n| **OAuth 2.1 + PKCE (Streamable HTTP)** | Connect to `https://api.h-ear.world/mcp` | Claude Code remote, custom MCP clients |\n\nTwo tools (`healthCheck`, `listClasses`) work without any authentication.\n\n### claude.ai (easiest — zero config)\n\nSearch for \"H-ear\" in **Settings > Connectors** on claude.ai. OAuth login is automatic.\n\n### Claude Desktop (API key)\n\nAdd to `claude_desktop_config.json`:\n\n```json\n{\n  \"mcpServers\": {\n    \"h-ear\": {\n      \"command\": \"npx\",\n      \"args\": [\"-y\", \"@h-ear/mcp-server\"],\n      \"env\": { \"HEAR_API_KEY\": \"ncm_sk_your_key\", \"HEAR_ENV\": \"prod\" }\n    }\n  }\n}\n```\n\n> **Windows MSIX users:** The config file is at `%LOCALAPPDATA%\\Packages\\Claude_pzs8sxrjxfjjc\\LocalCache\\Roaming\\Claude\\claude_desktop_config.json`, NOT at `%APPDATA%\\Claude\\`. The \"Edit Config\" button opens the wrong path.\n\n### Claude Code (API key)\n\nAdd to `.claude/settings.json`:\n\n```json\n{\n  \"mcpServers\": {\n    \"h-ear\": {\n      \"command\": \"npx\",\n      \"args\": [\"-y\", \"@h-ear/mcp-server\"],\n      \"env\": { \"HEAR_API_KEY\": \"ncm_sk_your_key\", \"HEAR_ENV\": \"prod\" }\n    }\n  }\n}\n```\n\n### Claude Code (OAuth — remote)\n\n```bash\nclaude mcp add --transport http h-ear https://api.h-ear.world/mcp\n```\n\nOAuth 2.1 + PKCE discovery is automatic via [RFC 9728](https://datatracker.ietf.org/doc/html/rfc9728) Protected Resource Metadata. Run `/mcp` in Claude Code to authenticate via browser — no API key needed.\n\n## Tools\n\n14 tools across classification, account, and webhook management:\n\n| Tool | Description | Auth |\n|------|-------------|------|\n| `classifyAudio` | Classify a single audio file or URL (MP3, WAV, FLAC, OGG, M4A). Supports optional GPS coordinates (`latitude`/`longitude`) for location tagging. No file size limit — large local files are uploaded via byte-slice chunking (no ffmpeg required); URL mode is fetched server-side with no client upload. | API Key |\n| `classifyBatch` | Batch classify up to 50 audio files or URLs. Supports optional GPS (`latitude`/`longitude`) applied to all files. | API Key |\n| `listClasses` | List 521+ supported audio classes across 3 taxonomies (AudioSet/YAMNet, AudioSet/PANNs, Species). | None |\n| `healthCheck` | API liveness check — status, version, deployment timestamp. | None |\n| `usage` | API quota: minutes used, calls today, remaining balance. | API Key |\n| `listJobs` | Paginated classification job history with status and filename. | API Key |\n| `getJob` | Detailed job result with all detected sound events and timestamps. | API Key |\n| `createWebhook` | Create enterprise webhook with event/taxonomy/tier filters. Returns signing secret once. | Bearer (enterprise) |\n| `listWebhooks` | List all enterprise webhook registrations. | Bearer (enterprise) |\n| `getWebhook` | Get webhook details including filter config and delivery stats. | Bearer (enterprise) |\n| `updateWebhook` | Update webhook URL, events, status (active/paused), or filters. | Bearer (enterprise) |\n| `deleteWebhook` | Permanently delete a webhook registration. | Bearer (enterprise) |\n| `pingWebhook` | Send a test.ping event to verify connectivity and signing. | Bearer (enterprise) |\n| `listWebhookDeliveries` | Delivery audit trail with response status and timing. | Bearer (enterprise) |\n\n> **Web/Connector note:** `classifyAudio(filePath)` and `classifyBatch(filePaths)` require local filesystem access — unavailable via the claude.ai Connector (Streamable HTTP). Use `url` parameters instead, or switch to stdio transport.\n\n## Resources\n\n| URI | Description |\n|-----|-------------|\n| `h-ear://status` | Live API status with health, version, available taxonomies, and class counts. |\n\n## Prompts\n\n| Name | Description |\n|------|-------------|\n| `classify-audio` | Pre-built classification workflow prompt with configurable detail level. |\n\n## Options\n\n```\n--key <key>        API key (or set HEAR_API_KEY env var)\n--env <env>        Environment: dev, staging, prod (default: prod)\n--base-url <url>   Override API base URL\n--help, -h         Show help\n```\n\n## Environment Variables\n\n| Variable | Description | Default |\n|----------|-------------|---------|\n| `HEAR_API_KEY` | H-ear Enterprise API key | (required for classify tools) |\n| `HEAR_ENV` | Target environment | `prod` |\n| `HEAR_BASE_URL` | Override base URL | Environment default |\n\n## Large File Support\n\nFiles larger than 25 MB are automatically uploaded via byte-slice chunking. Raw 25 MB slices of the original file are uploaded sequentially to the server, which reassembles them via Azure AppendBlob. No ffmpeg required. Original file quality preserved.\n\n- **No dependencies** — no ffmpeg, no temp files, no re-encoding\n- **Memory efficient** — one 25 MB buffer at a time\n- **Resumable** — per-chunk retry with exponential backoff\n\n### Claude Desktop timeout\n\nClaude Desktop has a hardcoded 60-second MCP timeout. Large file uploads can exceed this. Workarounds:\n- **Claude Code:** Set `MCP_TIMEOUT=300000` (5 min) environment variable\n- **Claude Desktop:** Use URL mode (`url` parameter) instead of `filePath` for large files — the API fetches the file server-side with no timeout concern\n\n## GPS / Location\n\nPass `latitude` and `longitude` to `classifyAudio` or `classifyBatch` to tag recordings with GPS coordinates. Both must be provided together (decimal degrees: lat -90..90, lng -180..180).\n\nThe server applies a priority cascade: file-embedded GPS > client-provided GPS > IP geolocation. Location data is returned in the job result via `getJob` when available.\n\n## Supported Formats\n\nMP3, WAV, FLAC, OGG, M4A\n\n## Requirements\n\n- Node.js >= 18\n\n## Get an API Key\n\nVisit [h-ear.world](https://h-ear.world) to create an account and generate an API key.\n\n## License\n\nMIT\n","readmeFilename":"README.md"}