Laya Typed Decisions

Name: Laya Typed Decisions
Author: PerryLink

by PerryLinkversion 0.1.5i★ –iRuns on your computer

Registry nameio.github.PerryLink/laya-mcp

Install

Overview

Description from the maker (original English)

Typed noul / choice / score judgments from a local Laya model, with token-budget preflight.

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
UsageiNot measured yet★ –

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: Other

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).
The registry lists no key to fill in.

You need

npmNode.js installed (for the npx 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": {
    "laya": {
      "command": "npx",
      "args": [
        "-y",
        "laya-mcp"
      ]
    }
  }
}

Run this in your terminal

claude mcp add laya -- npx -y laya-mcp

Open in Cursor

Or copy the settings yourself

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

{
  "mcpServers": {
    "laya": {
      "command": "npx",
      "args": [
        "-y",
        "laya-mcp"
      ]
    }
  }
}

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": {
    "laya": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "laya-mcp"
      ]
    }
  }
}

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.

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 7, 2026

✓ Pass
Maker matches the repo
The registry name was verified with the GitHub account PerryLink, which owns the repo
… 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 Otheri

More stars than 0% of the other 32564 servers in this category
Published to the registry more recently than 47% of the other 32564 servers in this category
Basic checks equal to or better than 100% of the other 32564 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 Laya Typed Decisions 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?

The registry does not list a required key, though some servers ask you to sign in on first use.

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 last month.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.

What can I use instead?

In the same category: Spec Driven Development, Remote Desktop Commander, Tools MCP

Alternatives

Servers in the same category from other makers, sorted by stars.

Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

Spec Driven Development

by formulahendry

MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.

Runs on your computer★ 440MITUpdated 14 months ago

Install

Remote Desktop Commander

by desktop-commander

Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.

Runs in the cloud★ 211Updated yesterday

Install

Tools MCP

by First-CH

Web production tools for AI agents: contrast, JP text, WebP, JSON-LD, slugs, dates and 40+ more

Runs on your computerUpdated today

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.

laya-mcp

MCP server for Laya typed decisions — noul (yes/no), choice, score — wrapped so it survives contact with a server.

English · 简体中文 · Español · Português · हिन्दी

npx -y laya-mcp --help

Registered as io.github.PerryLink/laya-mcp in the official MCP Registry.

This npm package is a launcher, not an implementation. Laya is a PyTorch

model, so the server itself is Python. Installing this package gets you the

Node entry point and nothing else; you also need the Python side:

`bash

pip install "laya-mcp[mcp]"

`

npx laya-mcp finds that interpreter, hands stdio to it, and passes the MCP

stream through untouched. It does not install anything for you — fetching torch

(~2 GB) and a checkpoint (~650 MB) as a side effect of running a command is not

something a launcher should do.

If it cannot find your Python

On Windows, python on PATH is often the Microsoft Store execution alias, which is a stub: it cannot import anything, and it sits ahead of your real interpreter. The launcher therefore reports what it tried rather than claiming the package is missing. Point it at the right interpreter either way:

# name it outright

set LAYA_MCP_PYTHON=C:\path\to\python.exe # Windows export LAYA_MCP_PYTHON=/path/to/python # macOS, Linux

or just activate the virtualenv you installed into — VIRTUAL_ENV is honoured

LAYACORE_PYTHON is still read. 0.1.0 and 0.1.1 printed that name in the error

message, and a launcher that stopped honouring the variable its own previous

version told you to set would be worse than one carrying the alias.

Status: 0.1.5, work in progress. The Python core is implemented and covered

by CI. The launcher itself is covered by ten checks over interpreter discovery,

which is where it has been wrong before. Interfaces may move before 1.0.

Why it exists

Laya truncates things silently and reports none of it:

It cuts the state from the end. A long document loses its tail — for a contract or an email thread, often where the answer was — and the model answers about the surviving prefix at full confidence.
It shortens options until labels are indistinguishable. Options share a fixed per-question token budget; past a point every label gets ~4 tokens. This is the documented cause of its collapse on high-cardinality choices.
Its `confidence` is not accuracy. It is a normalised entropy, low whenever probability is spread out even when the top option is right, and high on a confident wrong answer.
It demotes itself to CPU on a CUDA OOM, permanently, with no flag set — roughly 10-15x slower, and nothing in the response says so.

This package adds a preflight that reports what would be cut, structured errors that name the offending question, an honest confidence contract, and a health surface that admits a demotion.

Usage

laya-mcp serve      # warm HTTP sidecar on 127.0.0.1:8787 (loads the model once)

laya-mcp mcp # MCP over stdio laya-mcp doctor # what is installed, and whether the GPU really works laya-mcp install # register with whichever agent harness you have

install handles the fact that there is no portable way to register an MCP server: Claude Code (mcpServers), Codex ([mcp_servers. ]), opencode (mcp, with an array command), OpenClaw (mcp.servers) and Hermes (mcp_servers) each get the right shape written to the right file, merged and backed up rather than overwritten. pi has no native MCP support and is reported as unsupported.

Prefer serve plus --sidecar over hosting the model in each stdio process: a harness spawns one server per session, and loading a 650 MB checkpoint per session is the main reason a Python-backed MCP server feels slow.

Honest limits

Upstream's own numbers, repeated because an integration that implies otherwise is lying to you: the base checkpoints are near chance zero-shot on typed decisions (0.362 against a 0.461 majority-class baseline); score is the weakest primitive (35% vs 70% in independent measurement); raw calibration error is 0.466 before temperature fitting; and one fixture run answered "A" on 46 of 50 multiple-choice items.

Calibration makes a probability honest; it cannot make a model right.

Licence

Apache-2.0. Laya is Apache-2.0 by Convai Innovations. This is an independent integration, not affiliated with or endorsed by that project.

Laya Typed Decisions

Overview

PopNx MCP’s three pillars

What you can do with it

Install

Before you install

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 Otheri

Common questions

Alternatives

Spec Driven Development

Remote Desktop Commander

Tools MCP

README from the maker

laya-mcp

If it cannot find your Python

or just activate the virtualenv you installed into — VIRTUAL_ENV is honoured

Why it exists

Usage

Honest limits

Licence