Model Price Watch
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Instructions
Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.
This server publishes no instructions, or was last inspected before Glama recorded them.
Capabilities
Features and capabilities supported by this server
Protocol revision2025-11-25
| Capability | Details |
|---|---|
| tools | {
"listChanged": false
} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| search_modelsA | Search the live LLM pricing database by model name, provider, or id. Returns matching models with current input/output prices (USD per 1M tokens), context window, modality, and category. Use this to answer 'how much does cost' or 'what models does offer'. |
| get_model_pricingA | Get full pricing and capability details for one model by its id (from search_models). Returns input/output/cached price per 1M tokens, blended cost, context window, modality, release date, and the modelpricewatch.com page URL. |
| compare_modelsA | Compare 2–5 models side by side on price, context window, and capabilities, with a verdict on which is cheapest for input, output, and a typical blended workload. |
| cheapest_modelsA | Find the cheapest current models, ranked by input price, output price, or a blended cost. The generic ranking covers generative text models (embeddings, OCR and realtime models are excluded — they price different work); pass category to rank a specific pool instead, e.g. 'embedding'. Use to answer 'what is the cheapest model for '. |
| list_providersA | List all tracked AI model providers (OpenAI, Anthropic, Google, etc.) with a short description and their pricing page. |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
No prompts | |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
No resources | |
TDQS
Scored across 5 tools
The tools are largely distinct: search and detail retrieval are separated, and compare vs. cheapest serve different workflows. However, search_models already returns pricing information, so an agent might sometimes reach for it when get_model_pricing would be more appropriate.
Most tools follow a clear verb_noun pattern: search_models, get_model_pricing, compare_models, list_providers. The exception is cheapest_models, which lacks a verb and breaks the otherwise consistent imperative style.
With only 5 tools, the server is tightly scoped to its pricing lookup purpose. Each tool covers a distinct user need: search, detail, comparison, cheapest ranking, and provider discovery, with no unnecessary bloat.
The tool surface covers the full pricing lookup lifecycle: discovering models, retrieving detailed pricing, comparing specific models, finding cheapest options, and browsing providers. There are no obvious dead ends for common pricing questions.