Schema | tokencost-dev

tokencost-dev

Describes the environment variables required to run the server.

Name	Required	Description	Default
No arguments

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.

Features and capabilities supported by this server

Protocol revision2025-11-25

Capability	Details
`tools`	{}

Functions exposed to the LLM to take actions

Name	Description
get_model_detailsA	Look up pricing, context window, and capabilities for an LLM model. Uses fuzzy matching so you don't need the exact model key.
calculate_estimateA	Estimate the cost for a given number of input and output tokens on a specific model. Supports optional cached_tokens for prompt caching discounts.
compare_modelsA	Filter and compare models by provider, minimum context window, or mode. Returns top 5 most cost-effective matches.
refresh_pricesA	Force a re-fetch of pricing data from the LiteLLM registry. Use this if you suspect the cached data is stale.

Interactive templates invoked by user choice

Name	Description
No prompts

Contextual data attached and managed by the client

Name	Description
No resources

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/atriumn/tokencost-dev'

If you have feedback or need assistance with the MCP directory API, please join our Discord server