TO

TokenZero

sh.tokenzero/mcp

LLM cost optimization gateway, repo token-waste auditor & model arbitrage MCP server.

Yes, your AI can use this right now.Answered a live MCP handshake in 500 ms with no sign-in needed and exposes 5 tools.
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Connect it

Settings → Connectors → Add custom connector
URL: https://api.tokenzero.sh/mcp

5 tools, pulled live

Pulled straight from the server with tools/list on 2026-10-27.
audit_repo_token_waste

Static-analyze a public GitHub repo (owner/name) or a set of source files for LLM token waste: uncached static prompts, frontier models on extraction tasks, hot loops, non-deterministic repeat calls. Returns findings with fixes and an estimated recoverable percentage.

optimize_prompt_payload

Rewrite an OpenAI Chat/Responses or Anthropic Messages request body so its static prefix is provider-cacheable (Anthropic cache_control breakpoints, OpenAI prompt_cache_key). Returns the optimized body, what changed, the token profile and the projected per-request saving. Never changes the tokens the model sees.

calculate_model_arbitrage

Price a workload at list prices across models: cost per request and per month for the requested model, its cheaper sibling, and the effect of prompt caching. Pricing table version 2026-10-26.

provision_workspace

Create a TokenZero workspace and key with no form. Returns the key once, the base URLs that route through it (OPENAI_BASE_URL / ANTHROPIC_BASE_URL), the one-click dashboard link and the badge URL. Free up to the monthly free tier; nothing is billed.

workspace_metrics

Live value scorecard for a TokenZero workspace: hard savings and net ROI per window, the four engines' contribution, speed, parity, availability and privacy posture, per-model breakdown and one-click recommendations. Needs the workspace key (tz_live_…); pass demo: true for a labelled sample.

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