Developer · Local MCP server
AI Model Watch
Prices, context windows, lifecycle and deprecation dates for 270+ AI/LLM models. Daily, no key.
What the MCP Registry states
The entry as published to the official MCP Registry (read 2026-10-04), latest version.
- Registry name
io.github.Khavel/aimodelwatch- Version
- 2.0.1
- Status
- Active
- Category
- developer
- Transport
- stdio (local process)
- Package
- npm
- Published
- 2026-09-20
- Updated
- 2026-09-20
- Publisher
- Khavel (GitHub) · 2 servers with pages here
- Website
- aimodelwatch.dev/api
- Repository
- github.com/Khavel/ai-model-watch (folder mcp-server)
- Source
- Registry API entry
Packages
| Registry | Package | Version | Transport |
|---|---|---|---|
| npmruntime: npx | @aimodelwatch/mcp | 2.0.1 | stdio |
How to connect AI Model Watch
AI Model Watch runs locally from a Node.js package published to the npm registry: @aimodelwatch/mcp version 2.0.1. It speaks MCP over stdio, so the client starts it as a program and talks to it through standard input and output. It needs Node.js; clients usually start it with npx — the usual command is npx -y @aimodelwatch/mcp@2.0.1.
In the mcpServers JSON format that many desktop and editor MCP clients read, the entry looks like this (placeholders in angle brackets):
{
"mcpServers": {
"aimodelwatch": {
"command": "npx",
"args": [
"-y",
"@aimodelwatch/mcp@2.0.1"
]
}
}
}Derived from the registry entry, not tested here. What the server does, and on what terms, is set by its publisher; check its repository or website before giving it access to your accounts or files. How to add an MCP server to an assistant · Before you connect
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