llm-prices-cn
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
} |
| prompts | {
"listChanged": false
} |
| resources | {
"subscribe": false,
"listChanged": false
} |
| experimental | {} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| list_llm_pricesA | List daily-verified LLM API prices (per 1M tokens). Args: vendor: optional filter, matched against vendor name/id (e.g. "deepseek", "openai"). currency: "CNY" (default) or "USD". |
| estimate_costA | Estimate the cost of a single request for a given model and token counts. Args: model_id: model id from list_llm_prices (e.g. "deepseek-v4-pro"). input_tokens: number of input (prompt) tokens. output_tokens: number of output (completion) tokens. currency: "CNY" (default) or "USD". |
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 2 tools
The two tools have very distinct purposes: one lists prices for LLMs, the other estimates cost for a specific request. There is no overlap.
Both tools follow the verb_noun pattern with underscores: 'list_llm_prices' and 'estimate_cost'. Naming is clear and consistent.
With only 2 tools, the server is tightly scoped to the core functionality of querying prices and estimating costs. While minimal, it covers the essential needs.
For the stated domain of LLM price lookup and cost estimation, the tools cover listing prices and computing costs. Missing potentially useful features like batch estimation or historical prices, but core functionality is present.