DEDUPEDWho it is forDeveloper using Claude Code or another MCP-capable agent on audio-heavy projects like films and games
The problemCalling the CLI repeatedly reloads models for 20 to 40 seconds each time, which makes listening loops painfully slow.
The outcomeThe agent calls describe, match, timeline and critique as tools with models kept loaded.
What you need first
- Python
- CPU only, no GPU needed
- Local models load on first call (about 20 to 40 seconds per CLI call)
- No account or paid key for core features
- Optional Gemini key only for the `llm` command
- Reference recordings for `forge --refset` are not in the repo; bring your own with `--refs DIR`
Steps
- Install earshot and run
earshot doctor --loadto confirm models load. - Start the server with
earshot mcp. - Register it in your agent's MCP settings (inferred, follows your agent's usual MCP config).
- Ask the agent to listen to a file and describe it to confirm the tools respond.
Prompt for your agent
Connect to the earshot MCP server and use its tools to describe <audio file> and critique <video file>. Verify the tool list shows the listening tools before relying on them.
Caveat. The README says the MCP server works for Claude Code and other agents but does not give a config snippet, so the registration step depends on your agent.
About earshot
Gives coding agents ears: they can listen to audio, review it and generate sound. Runs on a plain CPU and is open source. View Leonxlnx/earshot on GitHub.
More with earshot
- Synthesize a new sound in code and refine it by ear Let the agent write a sound recipe, then have a critic score and improve it against real references.
- Pick the best sound from a pile of downloads Rank candidate files against a text description and trim the best moment from a long recording.
- Get a written description of any audio file Turn a sound file into plain words, tags and measurements an agent can reason about.
- Score a launch film's audio against pro launch films Run a scorecard that lists timestamped fixes for your film's soundtrack and mix.
- Turn a recording into code you can vary Fit a recording to a small synthesis model and get a Python recipe you can tweak or morph.
- Build a sound kit for a code-made film Pick one sound per role from a bank of 201 effects and render them with measured sync points.
- Check that sound hits land on your video cuts Get a second-by-second listening transcript of a film and see if hits match the picture cuts.
- Tell a real recording from a code-made sound Score files for realness and compare them to reference recordings or each other.
Disclaimer
Deduped lists open-source repositories that belong to other people. We do not own, maintain, audit, or vouch for any of them, and a repo appearing here is not an endorsement or a safety check. The use cases, steps, and prompts are written by AI and may be incomplete, outdated, or just wrong. Where a use case is marked "Seen in the wild", we link to public posts where someone described something similar, but we have not verified those posts and the use case itself is still our AI's own write-up. Use all of this at your own risk. Only run code, commands, or agents on systems and accounts you are authorized to use, and read the code and every command before you run it, especially anything that touches credentials, files, or the network. Nothing here is professional, security, legal, or financial advice. All trademarks and project names belong to their respective owners, and their use here does not imply affiliation. Content is provided as is, without warranties of any kind. Found a mistake, a safety problem, or something you want removed? Email [email protected] and we will look at it promptly. Full disclaimer page