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.

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 + frequency + severity 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	Workspace KPIs (plan, spec count, runs this month)

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 your Railway URL.

Source

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