Schema | Tokenomics MCP

Tokenomics MCP

Describes the environment variables required to run the server.

Name	Required	Description	Default
`ANTHROPIC_API_KEY`	No	Optional API key for Anthropic's exact token counting. If not set, a tiktoken-based approximation is used.

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`	{ "listChanged": false }
`prompts`	{ "listChanged": false }
`resources`	{ "subscribe": false, "listChanged": false }
`experimental`	{}

Functions exposed to the LLM to take actions

Name	Description
count_tokensA	Count how many tokens a piece of text would use for a given model. Args: text: Your text/prompt to tokenize model: Model name, e.g. "claude-sonnet-5", "gpt-5". Call list_supported_models to see all options.
estimate_costA	Estimate the API cost of sending this text as input, plus optional expected output. Args: text: The input text/prompt model: Model name, e.g. "claude-sonnet-5", "gpt-5" expected_output_tokens: Rough guess at response length (default 0 = input only)
compare_models_costA	Compare token count and estimated cost for the same text across several models. Args: text: The input text/prompt models: List of model names to compare. Defaults to a mix of current Anthropic and OpenAI models if not specified. expected_output_tokens: Rough guess at response length, applied to all models
list_supported_modelsA	List all models this server has pricing data for, with their current rates.

Interactive templates invoked by user choice

Name	Description
No prompts

Contextual data attached and managed by the client

Name	Description
No resources

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curl -X GET 'https://glama.ai/api/mcp/v1/servers/JonThads/tokenomics'

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