Woodstitch

Name: Woodstitch
Author: woodstitch-llc

by woodstitch-llcversion 0.1.5i★ –iRuns on your computer

Registry namecom.woodstitch/tts-human-eval

Install

Overview

Description from the maker (original English)

Paid human listeners judge TTS audio blind: pairwise preference or human-vs-AI detection.

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

User voiceiNo reviews yetReviews open together with accounts in a later step
Our basic checksi1 of 1 passedChecked from public information; code not scanned yet
UsageiEarly↓ 616/wk · ★ –

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

Connection: Runs on your computer
Transport: stdio
Category: Design, images & audio
You need to fill in: WOODSTITCH_API_KEY

Install

Pick the AI app you use, then copy the settings.

Before you install

Basic checks: 1 of 1 passed
Runs on your computer with your user’s permissions (files, network, apps).
You fill in yourself: WOODSTITCH_API_KEY

Values marked secret are keys to your account. Never share them or paste them into a chat.

You need

PyPIPython’s uv installed (for the uvx command)

Which app do you use?

ClaudeClaude CodeCursorVS CodeChatGPT

Pick your app above. We remember it, so next time the button says “Install in …”.

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

{
  "mcpServers": {
    "tts-human-eval": {
      "command": "uvx",
      "args": [
        "woodstitch-mcp"
      ],
      "env": {
        "WOODSTITCH_API_KEY": "your-value"
      }
    }
  }
}

Run this in your terminal

claude mcp add tts-human-eval --env WOODSTITCH_API_KEY=your-value -- uvx woodstitch-mcp

Fill in the empty values before running it.

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "tts-human-eval": {
      "command": "uvx",
      "args": [
        "woodstitch-mcp"
      ],
      "env": {
        "WOODSTITCH_API_KEY": "your-value"
      }
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "tts-human-eval": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "woodstitch-mcp"
      ],
      "env": {
        "WOODSTITCH_API_KEY": "your-value"
      }
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

Your choice stays on this device in a cookie; no account needed.

Values you fill in

WOODSTITCH_API_KEY secret required env
Woodstitch API key (ws_live_...), from https://woodstitch.com/app/api-keys. Not needed for the templates and pricing tools.

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 9, 2026

✓ Pass
Maker matches the repo
The registry name was verified against the domain woodstitch.com (the registry checks domain ownership)
… Not checked yet
Still maintained
We have not read this repo from GitHub yet
… Not checked yet
Has a licence
We have not read this repo from GitHub yet
– Not applicable
Endpoint responds
This one runs on your computer; there is no internet endpoint
– Not applicable
Sign-in with OAuth
Runs on your computer and uses local settings instead
… Not checked yet
No hidden instructions in tool descriptions
Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Design, images & audioi

More stars than 0% of the other 2805 servers in this category
Published to the registry more recently than 94% of the other 2805 servers in this category
Basic checks equal to or better than 100% of the other 2805 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is Woodstitch safe?

It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

You need to fill in: WOODSTITCH_API_KEY

Does it run on my computer or in the cloud?

It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed –, and the latest version (0.1.5) reached the registry 2 days ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Python (uv) on your computer.

What can I use instead?

In the same category: Figma Context MCP, Claude Real Video, Figma MCP Server

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Install

README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

woodstitch-mcp

An MCP server for the Woodstitch API: paid human listeners judge your text-to-speech audio in blinded studies, and your agent gets a number back with a confidence interval.

Two tasks, and only two: pairwise preference (a listener hears two clips of the same text and picks one, forced choice) and human-vs-AI detection (one clip, human or AI, confidence 1–4). Not offered: MOS, CMOS, MUSHRA or any 1–5 scale.

Install

Get an API key at https://woodstitch.com/app/api-keys, then:

Claude Code

claude mcp add woodstitch -e WOODSTITCH_API_KEY=ws_live_... -- uvx woodstitch-mcp

Claude Desktop / Cursor / any MCP client (mcpServers entry):

"woodstitch": { "command": "uvx", "args": ["woodstitch-mcp"], "env": {"WOODSTITCH_API_KEY": "ws_live_..."} } }

pipx run woodstitch-mcp or pip install woodstitch-mcp && woodstitch-mcp work too. Requires Python 3.10+.

Claude Code users: the Woodstitch plugin bundles this server with a skill that knows when and how to run a listening test: /plugin marketplace add woodstitch-llc/claude-plugin then /plugin install tts-human-eval@woodstitch.

Tools

Tool	What it does	Money
`woodstitch_templates`	What is measured and what is not (no key needed)	–
`woodstitch_pricing`	Rate card and worked examples (no key needed)	–
`woodstitch_account`	Balance and spend	–
`woodstitch_upload_files`	Upload local audio, get file ids	–
`woodstitch_create_eval`	Create and price a study; `dry_run` to price only	charges nothing
`woodstitch_start_eval`	Start the study	spends money
`woodstitch_get_eval`	Progress and provisional score	–
`woodstitch_get_results`	Final numbers	–
`woodstitch_export`	Every judgement as rows (json or csv, optionally to a file)	–
`woodstitch_cancel_eval`	Stop early, pay only for work done	–
`woodstitch_list_evals`, `woodstitch_list_files`, `woodstitch_delete_file`	housekeeping	–

Safeguards built in

woodstitch_start_eval requires user_confirmed_amount_usd, the quoted total the user agreed to, and sends it to the API as the hard ceiling max_total_usd. If the quote is higher than what the user confirmed, the API refuses (over_max) and nothing starts. An agent cannot start a study the user has not seen the price of.
Every POST carries an Idempotency-Key, so a retried call never creates or starts a study twice.
The server's instructions tell the model that interim numbers are provisional and that stopping early on a threshold is optional stopping.

Typical session

woodstitch_upload_files(["a/001.wav", "b/001.wav", ...]) or use public URLs.
woodstitch_create_eval(pairs=[{"id":"001","a":"file_…","b":"file_…","passage":"001","system_a":"base","system_b":"candidate"}, …], ratings_per_pair=5) → quote, nothing charged.
Show the user the total. On yes: woodstitch_start_eval(eval_id, user_confirmed_amount_usd= ).
woodstitch_get_eval(eval_id) now and then; first judgements usually land within minutes.
woodstitch_get_results(eval_id) when status is completed; woodstitch_export for the rows.

Method, listener pay and controls: https://woodstitch.com/research/methodology. Machine-readable API spec: https://woodstitch.com/openapi.json.

Development

uv venv && . .venv/bin/activate && uv pip install -e .

WOODSTITCH_API_KEY=ws_live_... woodstitch-mcp # stdio server

Woodstitch

Overview

PopNx MCP’s three pillars

What you can do with it

Install

Before you install

Values you fill in

What it can do

Basic checksi

Maker matches the repo

Still maintained

Has a licence

Endpoint responds

Sign-in with OAuth

No hidden instructions in tool descriptions

Compared with others in Design, images & audioi

Common questions

Alternatives

Figma Context MCP

Claude Real Video

Figma MCP Server

README from the maker

woodstitch-mcp

Install

Tools

Safeguards built in

Typical session

Development