AGENT USE CASE1:21Let sound design lead the scene
Building many scene variants with sound first, the creator says the result looks less like AI slop and renders fast.
A local tool and MCP server, with two skills, that lets Claude Code or Codex judge audio it cannot hear: describe a sound, rank candidates against a description, find the best moment in a recording, check loudness and sync, and critique a whole video's soundtrack. It can also render sound effects from a bank made in code for code-made films.
In short: A local tool and MCP server, with two skills, that lets Claude Code or Codex judge audio it cannot hear: describe a sound, rank candidates against a description, find the best moment in a recording, check loudness and sync, and critique a whole video's soundtrack. It can also render sound effects from a bank made in code for code-made films. It is a free skill for people who use Claude Code or Codex and want help with sound & music.
Checked on · Added
| Agent / tool | Access / cost | Link |
|---|---|---|
| Claude Code | Paid Claude plan or API | claude.com/claude-code |
| Codex | ChatGPT plan or API | openai.com/codex |
| GitHub repo | Open source · ★ 3.1k | Leonxlnx/earshot |

Image: from the GitHub README, shown with credit.
Images from the project README on GitHub.
git clone https://github.com/Leonxlnx/earshot && cd earshot python -m venv .venv && .venv/bin/python -m pip install torch --index-url https://download.pytorch.org/whl/cpu .venv/bin/python -m pip install -e ".[mcp]"
Install command copied from the project README. Check the README for the latest version.
A local tool and MCP server, with two skills, that lets Claude Code or Codex judge audio it cannot hear: describe a sound, rank candidates against a description, find the best moment in a recording, check loudness and sync, and critique a whole video's soundtrack. It can also render sound effects from a bank made in code for code-made films.
Agents can write the code for a film, demo or game but cannot hear it. earshot turns audio into readings an agent can use: what a file sounds like in words, how well it matches a description, the best moment in a long…
Short excerpt from the README of Leonxlnx/earshot. Read the full README on GitHub.
Written by us so you can reuse it. Replace each [bracket] with your details.
The first use downloads two open audio models (about 1.1 GB) into the repo folder, and each CLI call takes 20-40 s to load them, so use the MCP server for more than a few calls. The optional llm command sends audio to Gemini with your own key; everything else stays on your computer. The real-sound skill uses licensed recordings you bring yourself.
A local tool and MCP server, with two skills, that lets Claude Code or Codex judge audio it cannot hear: describe a sound, rank candidates against a description, find the best moment in a recording, check loudness and sync, and critique a whole video's soundtrack. It can also render sound effects from a bank made in code for code-made films.
It works with Claude Code and Codex. The code is on GitHub at Leonxlnx/earshot.
Free & open source (MIT). Needs Python 3.10+ and ffmpeg; runs on CPU, no GPU or API key.
Run the install command from the README: “git clone https://github.com/Leonxlnx/earshot && cd earshot”. Check the README on GitHub for the latest version, then follow the steps on this page.
We read 237 instruction and code files in the repo and found no red flags. That is not a guarantee, so review anything that runs commands on your machine.
All credit to the original authors. We rewrite in our own words and link back. Something wrong? Report it.
AGENT USE CASE1:21Building many scene variants with sound first, the creator says the result looks less like AI slop and renders fast.
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