Schema | claude-cost-mcp

claude-cost-mcp

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`	{ "listChanged": true }

Functions exposed to the LLM to take actions

Name	Description
estimate_tokensA	Estimate the number of Claude tokens for a piece of text. Korean/CJK-aware (Korean uses ~1.3x the tokens of equivalent English). No API key needed.
estimate_costA	Estimate Claude API cost across Haiku/Sonnet/Opus for given token counts (or raw text). Optional prompt-caching ratio.
caching_breakevenA	Compute prompt-caching savings and break-even for a static prompt reused N times. Break-even is ~1.28 reuses.
batch_savingsA	Compute Batch API savings (50% off input+output) for a recurring workload. Use when work is async/non-realtime (≤24h SLA acceptable).
compare_providersA	Compare API cost across 8 models from Anthropic, OpenAI, and Google for given token counts. Returns a table sorted cheapest-first so you can see where Claude sits vs alternatives.

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/firstshout/claude-cost-mcp'

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