Cross-platform MCP server for REW measurements, speaker, room and car calibration, conservative EQ, JamesDSP, CamillaDSP, and measured verification.
- ✓Open-source license (MIT)
- ✓Actively maintained (<30d)
- ✓Clear description
- ✓Topics declared
- ✓Documented (README)
git clone https://github.com/daredoole/audio-calibration-mcp{
"mcpServers": {
"audio-calibration-mcp": {
"command": "node",
"args": ["/path/to/audio-calibration-mcp/dist/index.js"]
}
}
}Resumen de MCP Servers
# Audio Calibration MCP <p align="center"> <img src="assets/audio-calibration-mcp-icon.png" alt="Audio Calibration MCP calibration-bunny logo" width="280"> </p> Audio Calibration MCP is a local-first, cross-platform Model Context Protocol server for Room EQ Wizard (REW). It guides acoustic measurement, speaker and room calibration, subwoofer and crossover analysis, conservative EQ, DSP deployment, and measured verification for general, powered-speaker, car, and laptop audio systems. This project does not promise universally “perfect” sound. REW can measure an acoustic system; it cannot infer listener preference, microphone placement, or a speaker's safe output capability without evidence. The MCP reports missing data and keeps preference separate from engineering calculations. [](https://github.com/daredoole/audio-calibration-mcp/actions/workflows/ci.yml) [](https://github.com/daredoole/audio-calibration-mcp/actions/workflows/codeql.yml) [](https://github.com/daredoole/audio-calibration-mcp/releases) [](LICENSE) [](https://buymeacoffee.com/daredoole) ## Choose the right audio MCP | Use this project when you need | Use [EvoBurrow MCP](https://github.com/daredoole/evoburrow-mcp) when you need | |---|---| | General REW acoustic measurement and evidence-based EQ | A1 Evo AcoustiX artifact inspection or terminal workflows | | Room, speaker, subwoofer, car, powered-speaker, or laptop calibration | Denon/Marantz AVR status, preset mapping, backup, or guarded LAN control | | JamesDSP, CamillaDSP, Equalizer APO, FIR, or listening-test workflows | Audyssey `.ady`/`.oca` review tied to live receiver state | The projects share measurement discipline, but this MCP deliberately stays hardware-neutral; EvoBurrow owns the A1 and AVR-specific safety boundary. ## Measured laptop example — before and after  This is measured evidence from four repeated REW sweeps per state, averaged with 1/12-octave smoothing. Factory is amber and the cut-only JamesDSP preset is cyan. The shaded area below 500 Hz marks the protection-limited bass region where no boost was applied. The plot preserves measured SPL; preference was assessed in a separate level-matched listening comparison. Device, microphone, and preset identifiers are intentionally removed from the public artifact. ## Compatibility | Component | Support | |---|---| | Node.js | 20 and 22 | | Operating systems | Windows x64, macOS Intel/Apple Silicon, Linux x64/ARM64 | | REW | Local API on port 4735; cross-platform install discovery and confirmed startup | | JamesDSP | Linux/JDSP4Linux inspect, preview, backup, apply, verify, rollback, blinded level-matched A/B | | Equalizer APO | Export; guarded apply when an explicit config path is configured | | CamillaDSP | YAML export; guarded file apply when explicitly configured | | miniDSP | REW-compatible text export; no hardware mutation in the beta | | A1 Evo/Denon | Optional separate bridge; no AVR assumptions in this plugin | ## Install Download a GitHub release archive and point Codex at its `.mcp.json`. For a source checkout: ```text npm ci --ignore-scripts npm test npm run validate:release ``` The checked-in MCP configuration starts the self-contained `dist/server.mjs`. The packaged CLI is also bundled, and the published artifact declares zero runtime npm dependencies. Third-party build inputs are exact-pinned and installed with lifecycle scripts disabled. Run `rew_install_discover` to locate REW through a user override, the `AUDIO_REW_EXECUTABLE` environment variable, `PATH`, and conventional Windows, macOS, or Linux locations. If discovery fails, pass the absolute executable path (or `REW.app` on macOS) to that tool or `rew_launch_plan`. Starting REW requires the matching `rew_launch_execute` confirmation. Startup is verified against the API on `http://127.0.0.1:4735`; override `AUDIO_REW_URL` only for a trusted local network endpoint. REW's API still must be enabled in REW itself. ## Guided workflow 1. Run `audio_doctor`. If REW is offline, use `rew_install_discover`, then the confirmed `rew_launch_plan`/`rew_launch_execute` pair. Continue with `rew_capability_negotiate` and `audio_guided_session_plan`. 2. Inventory the host, REW, microphone calibration, output route, and DSP state. 3. Create a protected repeated-session plan. Audible execution requires fresh microphone-placement, area-clear, and route/safety confirmation. 4. Save separate raw traces, then run quality, dual-resolution, direct/late, crossover, distortion/compression, and human-listening analyses. 5. Prefer placement, polarity, timing, crossover, and stable cut-first EQ. 6. Apply only a hash-bound confirmed plan with backup and rollback. 7. Re-measure at matched level. Start `audio_post_eq_verification`, then poll `audio_job_status`; the verifier derives level difference from the traces. Predicted response and caller-claimed level matching are never acceptance evidence. 8. Use randomized, level-matched A/B or ABX for preference/discrimination. On JamesDSP, `jamesdsp_ab_plan` plus its presentation and restore executors switch presets and host volume transactionally without revealing assignments. ## Analysis views Reports preserve the source trace and display native unsmoothed data, derived engineering resolution, 1/48-octave structure, adaptive modal-to-perceptual smoothing, and ERB/perceptual views. Filters are eligible only when features are stable across repetitions and held-out data. Narrow/spatial nulls are not boosted. `audio_report_plan` can also accept two to four repeated comparison groups. It averages each state, preserves ±1 SD, calculates the measured level difference, and exports Markdown, HTML, JSON, and a standalone labeled SVG suitable for a README. Missing SNR rejects the quality gate by default; exploratory callers must explicitly opt out with `requireSnr: false`. ## Privacy There is no telemetry. Local sessions may contain usernames, absolute paths, device names, room coordinates, microphone hashes, and preset fingerprints. Never publish `measurements/`, `sessions/`, `backups/`, `profiles/`, `reports/`, or `filters/` directly. Use the redacted support-artifact tools and review the result before sharing it. ## Development and validation `npm test` is hardware-independent. `npm run coverage` exercises deterministic DSP and safety fixtures. `npm run validate:release` checks manifests, metadata, the bundled server, and package contents. Real-system smoke tests are opt-in and must never run in ordinary CI. REW requests are bounded to four concurrent calls by default. Set `AUDIO_REW_MAX_CONCURRENCY` from 1–8 only when the local REW instance has been validated at that concurrency. See [SECURITY.md](SECURITY.md), [CONTRIBUTING.md](CONTRIBUTING.md), and [CHANGELOG.md](CHANGELOG.md). Licensed under the MIT License. ## Measurement-science laboratory modules Bounded tools cover GUM-style uncertainty budgets and Monte Carlo propagation, bootstrap repeatability, complex-transfer coherence and phase confidence, ISO-3382-aligned room screening, exploratory polar/directivity scans, clean-output ladders, held-out-seat complex multi-source optimization, regularized FIR proposals, controlled listening trials, immersive/SOFA metadata preflight, and reference-corpus auditing. `Screening`, `inspired`, and `standards-aligned` never mean certified conformity. ISO, IEC, ANSI/CTA, AES, and ITU conformity requires the complete current normative document, prescribed setup and processing, calibrated instrumentation, and traceable evidence. Optimization and FIR outputs remain proposals until protected, level-matched hardware remeasurement accepts them. ## Curated external datasets `audio_dataset_catalog` exposes reviewed metadata for selected SADIE II, FLAIR, MeshRIR, and RAVes artifacts without downloading them. Dataset acquisition uses a hash-bound plan/execute pair, requires license acknowledgement, enforces an exact byte ceiling, accepts only pinned Zenodo HTTPS URLs, refuses overwrites, checks the upstream checksum, calculates SHA-256, and writes a provenance receipt under the workspace `datasets/` directory. Remote entries and checksum-verified downloads are not automatically scientific validation. Readiness is calculated per domain and requires parsed, method-compatible references from at least two independent institutions with justified tolerances. ## Laptop calibration Laptop speakers remain fully supported, but this is the least general workflow and is intentionally documented last. Laptop mode starts at 120 Hz and -30 dBFS by default. Stop immediately on an unexpected route, silence, clipping, limiter activity, rattling, or distress. ## Support the project Audio Calibration MCP is free and open source. If it saves you time or improves your system, you can [buy daredoole a coffee](https://buymeacoffee.com/daredoole).
Lo que la gente pregunta sobre audio-calibration-mcp
¿Qué es daredoole/audio-calibration-mcp?
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daredoole/audio-calibration-mcp es mcp servers para el ecosistema de Claude AI. Cross-platform MCP server for REW measurements, speaker, room and car calibration, conservative EQ, JamesDSP, CamillaDSP, and measured verification. Tiene 1 estrellas en GitHub y su última actualización registrada es del 2026-08-27.
¿Cómo se instala audio-calibration-mcp?
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Puedes instalar audio-calibration-mcp clonando el repositorio (https://github.com/daredoole/audio-calibration-mcp) o siguiendo las instrucciones del README en GitHub. ClaudeWave también te ofrece bloques de instalación rápida en esta misma página.
¿Es seguro usar daredoole/audio-calibration-mcp?
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Nuestro agente de seguridad ha analizado daredoole/audio-calibration-mcp y le ha asignado un Trust Score de 95/100 (tier: Verified). Revisa el desglose completo de comprobaciones superadas y flags en esta página.
¿Quién mantiene daredoole/audio-calibration-mcp?
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daredoole/audio-calibration-mcp es mantenido por daredoole. La última actividad registrada en GitHub es del 2026-08-27, con 0 issues abiertos.
¿Hay alternativas a audio-calibration-mcp?
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Sí. En ClaudeWave puedes explorar mcp servers similares en /categories/mcp, ordenados por popularidad o actividad reciente.
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