TokenZero
LLM cost optimization gateway, repo token-waste auditor & model arbitrage MCP server.
Sollte ich dies verwenden
Qualität und Sicherheit
Befunde (1)
- LOWTool 'workspace_metrics' description lacks action verbin workspace_metrics
Basierend auf einer automatisierten Analyse der Tool-Definitionen und der Einhaltung des Protokolls.
Kontextkosten
Dies ist die ungefähre Anzahl der Tokens, die jedes Mal verbraucht werden, wenn die Tools des Servers in den Kontext eines Modells geladen werden. Höhere Werte verringern die Aufmerksamkeit, die für andere Aufgaben verfügbar ist.
Installieren
Installation mit einem Klick
Fügen Sie dies Ihrer Datei `claude_desktop_config.json` hinzu:
{
"mcpServers": {
"tokenzero": {
"url": "https://tokenzero.sh/mcp"
}
}
}Remote-Endpunkte
https://tokenzero.sh/mcpstreamable-httpWas es kann
Tool-Inventar
Tools (5)
🟡audit_repo_token_waste(repo, files)
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.
Eingabe-Schema
{
"type": "object",
"properties": {
"repo": {
"type": "string",
"description": "GitHub owner/name (public)"
},
"files": {
"type": "array",
"items": {
"type": "object",
"properties": {
"path": {
"type": "string"
},
"content": {
"type": "string"
}
},
"required": [
"path",
"content"
]
},
"description": "Alternative to repo: files to analyze"
}
}
}🟢optimize_prompt_payload(body, endpoint, strategy)
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.
Eingabe-Schema
{
"type": "object",
"properties": {
"body": {
"type": "object",
"description": "The request body"
},
"endpoint": {
"type": "string",
"enum": [
"/v1/chat/completions",
"/v1/responses",
"/v1/messages"
]
},
"strategy": {
"type": "string",
"enum": [
"static",
"conversation"
]
}
},
"required": [
"body"
]
}🟢calculate_model_arbitrage(model, input_tokens, output_tokens, requests_per_month, static_tokens, ...)
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.
Eingabe-Schema
{
"type": "object",
"properties": {
"model": {
"type": "string"
},
"input_tokens": {
"type": "number"
},
"output_tokens": {
"type": "number"
},
"requests_per_month": {
"type": "number"
},
"static_tokens": {
"type": "number",
"description": "portion of input_tokens that is a fixed prefix (system + tools)"
},
"compare_to": {
"type": "array",
"items": {
"type": "string"
}
}
},
"required": [
"model",
"input_tokens",
"output_tokens"
]
}🟡provision_workspace(name)
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.
Eingabe-Schema
{
"type": "object",
"properties": {
"name": {
"type": "string",
"description": "workspace name (default mcp-agent)"
}
}
}🟢workspace_metrics(key, window, demo)
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.
Eingabe-Schema
{
"type": "object",
"properties": {
"key": {
"type": "string",
"description": "workspace key (tz_live_…)"
},
"window": {
"type": "string",
"enum": [
"24h",
"7d",
"30d",
"all"
]
},
"demo": {
"type": "boolean",
"description": "return the sample scorecard instead"
}
}
}Community
Nachweis