mcpField
A
AI Model Watch

AI Model Watch

Local
aimodelwatch.devAI & Agents
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About AI Model Watch

Prices, context windows, lifecycle and deprecation dates for 270+ AI/LLM models. Daily, no key

Configuration

Local server config is the same for every client. Copy it into your client’s MCP config file.

mcp.json · Universal config
{
  "mcpServers": {
    "khavel-aimodelwatch": {
      "command": "npx",
      "args": [
        "-y",
        "@aimodelwatch/mcp"
      ]
    }
  }
}
Run commandnpx -y @aimodelwatch/mcp

Local servers need a runtime on your machine (e.g. Node.js 18+). Config file locations differ by client; see your client’s docs.

Packages
npm@aimodelwatch/mcp2.0.1

Tools

9

Saved tool list · updated 2w ago

ParameterTypeRequiredDescription
limitintegerNo
querystringNoCase-insensitive text search over id, name and api_string
offsetintegerNo
statusenumNoLifecycle status as the provider states it: 'ga', 'preview', 'beta', 'deprecated', 'retired'. 'active' is shorthand for ga+preview+beta (still callable).ga | preview | beta | deprecated | retired | active
modalitystringNoSubstring match on the modality tags, e.g. 'text', 'image', 'audio', 'video', 'pdf', 'code'
providerstringNoProvider name, case-insensitive substring: 'openai', 'anthropic', 'google', 'mistral'...
open_weightbooleanNotrue = open-weight models only, false = closed only

Details

The maintainer has not added details yet. Check the README in the repository.

Comments

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New to MCP?

From what the protocol is to installing your first server, these answers cover most first questions.

An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.