Exact Claude API cost + prompt-cache economics calculator MCP server, plus a tiktoken-misuse scanner
git clone https://github.com/tylerscomic-lab/claude-cost-audit-mcp{
"mcpServers": {
"claude-cost-audit-mcp": {
"command": "node",
"args": ["/path/to/claude-cost-audit-mcp/dist/index.js"]
}
}
}Resumen de MCP Servers
# claude-cost-audit-mcp [](LICENSE) [](https://mcpize.com/mcp/claude-cost-audit-mcp) An MCP server for exact Claude API cost calculation — correct prompt-cache economics (write 1.25x at 5-minute TTL / 2x at 1-hour TTL, read 0.1x), cache break-even analysis, and a scanner for the single most common Claude-cost mistake: estimating tokens with OpenAI's `tiktoken`. ## The mistake this catches Per Anthropic's own documentation: *"Do not use tiktoken. It's OpenAI's tokenizer. It undercounts Claude tokens by ~15-20% on typical text, and by much more on code or non-English input."* Any cost estimate or context-budget check built on `tiktoken` for a Claude model is silently wrong — this scans source for that exact pattern (foreign tokenizer + Claude/Anthropic usage in the same file) and points to the fix (`messages.count_tokens`). ## Cache economics people get wrong Caching doesn't pay off starting from the second request the way most people assume. The real break-even is **2 reuses at 5-minute TTL, but 3 reuses at 1-hour TTL** — because the 1-hour write costs more (2x vs 1.25x). `check_cache_breakeven` computes this from Anthropic's real multipliers instead of a guessed rule of thumb, and flags prefixes below the model's own minimum-cacheable-token threshold (which is **not** monotonic across model generations — 512 tokens on the newest models, 4096 on some older ones). ## Tools ### `calculate_message_cost` Exact $ cost from token counts, using Anthropic's real current per-model pricing (including Claude Sonnet 5's time-limited introductory rate, resolved automatically from the date you pass). ### `check_cache_breakeven` Given expected request volume reusing the same prefix, tells you whether caching saves money and at which TTL. ### `audit_tokenizer_usage` Scans source for `tiktoken`/`gpt-tokenizer`/etc. alongside Claude API usage. ## Use it **Hosted (recommended):** [MCPize](https://mcpize.com/mcp/claude-cost-audit-mcp) — free tier, $7/mo Pro. **Self-host:** ```bash npm install node server.js ``` ## Part of a small suite [mcp-schema-audit-mcp](https://github.com/tylerscomic-lab/mcp-schema-audit-mcp), [cron-schedule-audit-mcp](https://github.com/tylerscomic-lab/cron-schedule-audit-mcp), [regex-safety-audit-mcp](https://github.com/tylerscomic-lab/regex-safety-audit-mcp). ## License MIT
Lo que la gente pregunta sobre claude-cost-audit-mcp
¿Qué es tylerscomic-lab/claude-cost-audit-mcp?
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tylerscomic-lab/claude-cost-audit-mcp es mcp servers para el ecosistema de Claude AI. Exact Claude API cost + prompt-cache economics calculator MCP server, plus a tiktoken-misuse scanner Tiene 0 estrellas en GitHub y se actualizó por última vez today.
¿Cómo se instala claude-cost-audit-mcp?
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Puedes instalar claude-cost-audit-mcp clonando el repositorio (https://github.com/tylerscomic-lab/claude-cost-audit-mcp) o siguiendo las instrucciones del README en GitHub. ClaudeWave también te ofrece bloques de instalación rápida en esta misma página.
¿Es seguro usar tylerscomic-lab/claude-cost-audit-mcp?
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tylerscomic-lab/claude-cost-audit-mcp aún no ha sido auditado por nuestro agente de seguridad. Revisa el repositorio original en GitHub antes de usarlo en producción.
¿Quién mantiene tylerscomic-lab/claude-cost-audit-mcp?
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tylerscomic-lab/claude-cost-audit-mcp es mantenido por tylerscomic-lab. La última actividad registrada en GitHub es de today, con 0 issues abiertos.
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