Modelwatch

Name: Modelwatch
Author: bch1212

by bch1212version 0.1.3i★ –iRuns on your computer

Registry nameio.github.bch1212/modelwatch

Install

Overview

Description from the maker (original English)

Continuous behavioral drift monitoring for LLM apps — catches silent provider model updates.

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: Search & AI memory
You need to fill in: MODELWATCH_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: MODELWATCH_API_KEY, MODELWATCH_API_BASE

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

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": {
    "modelwatch": {
      "command": "npx",
      "args": [
        "-y",
        "modelwatch-mcp"
      ],
      "env": {
        "MODELWATCH_API_KEY": "your-value",
        "MODELWATCH_API_BASE": "your-value"
      }
    }
  }
}

Run this in your terminal

claude mcp add modelwatch --env MODELWATCH_API_KEY=your-value --env MODELWATCH_API_BASE=your-value -- npx -y modelwatch-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": {
    "modelwatch": {
      "command": "npx",
      "args": [
        "-y",
        "modelwatch-mcp"
      ],
      "env": {
        "MODELWATCH_API_KEY": "your-value",
        "MODELWATCH_API_BASE": "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": {
    "modelwatch": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "modelwatch-mcp"
      ],
      "env": {
        "MODELWATCH_API_KEY": "your-value",
        "MODELWATCH_API_BASE": "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

MODELWATCH_API_KEY secret required env
API key from https://modelwatch.app (free tier: 5 specs, 500 runs/mo).
MODELWATCH_API_BASE env
Override the API base URL for self-hosted deployments.

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 bch1212, 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 Search & AI memoryi

More stars than 0% of the other 7249 servers in this category
Published to the registry more recently than 55% of the other 7249 servers in this category
Basic checks equal to or better than 100% of the other 7249 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 Modelwatch 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: MODELWATCH_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 (0.1.3) reached the registry 30 days ago.

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: Context7, Codebase Memory, Exa

Alternatives

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

Context7

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Feeds AI the latest docs for libraries and frameworks before it answers, so code it writes does not use outdated, removed functions.

Computer or cloud★ 64,224MITUpdated today

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Codebase Memory

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Runs on your computer★ 48,148MITUpdated 20 days ago

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Exa

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Connect AI agents to Exa for web search, content fetching, and multi-step research.

Runs in the cloud★ 5,213MITUpdated last month

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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.

modelwatch-mcp

MCP server for ModelWatch — continuous behavioral drift monitoring for LLM-powered applications.

Lets Claude Desktop / Claude Code (or any MCP-compatible client) create drift specs, run them, and surface drift events without leaving the chat.

Install

npm install -g modelwatch-mcp

Configure (Claude Desktop)

Add to ~/Library/Application Support/Claude/claude_desktop_config.json:

"mcpServers": { "modelwatch": { "command": "npx", "args": ["-y", "modelwatch-mcp"], "env": { "MODELWATCH_API_KEY": "mw_PASTE_FROM_EMAIL" } } } }

Get a free key at https://modelwatch.app/#signup (5 specs, 500 runs/mo, no card). Then restart Claude Desktop.

The example configuration stores a plaintext key in a local config file. Restrict that file to your user account, do not commit it, and rotate the key if it is exposed. The key never belongs in a command-line argument.

Tools

Tool	What it does
`list_endpoints`	Show monitored LLM endpoints
`create_endpoint`	Add an endpoint (provider + model)
`list_specs`	Show behavioral specs
`create_spec`	Add a spec (prompt + schedule + optional semantic similarity threshold)
`run_spec`	Run a spec on demand; baseline if first run
`reset_baseline`	Re-baseline after an intentional model swap
`get_drift_events`	Recent drift events across the workspace
`get_spec_history`	Run history for one spec
`get_health`	Per-spec health status, last drift score and last run time

Example session

You: Create a refusal canary against the OpenAI endpoint, asking about

chest pain. Run it now and tell me the baseline.

Claude calls list_endpoints → create_spec → run_spec and reports the score. The same spec then runs daily forever and emails you when drift is detected.

Environment variables

Var	Required	Default
`MODELWATCH_API_KEY`	Yes	—
`MODELWATCH_API_BASE`	No	`https://api.modelwatch.app`

Self-hosted? Point MODELWATCH_API_BASE at an HTTPS origin. HTTP is accepted only for loopback development; paths, query strings, URL credentials and redirects are rejected before a key is sent.

Source

https://github.com/bch1212/modelwatch — MIT licensed.

Modelwatch

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 Search & AI memoryi

Common questions

Alternatives

Context7

Codebase Memory

Exa

README from the maker

modelwatch-mcp

Install

Configure (Claude Desktop)

Tools

Example session

Environment variables

Source