TokenZero
LLM cost optimization gateway, repo token-waste auditor & model arbitrage MCP server.
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Calidad y seguridad
Hallazgos (1)
- LOWTool 'workspace_metrics' description lacks action verben workspace_metrics
Basado en el análisis automatizado de las definiciones de herramientas y el cumplimiento del protocolo.
Costo de contexto
Este es el número aproximado de tokens que se consumen cada vez que las herramientas del servidor se cargan en el contexto de un modelo. Los recuentos más altos reducen la atención disponible para otras tareas.
Instalar
Instalación con un clic
Agrega esto a tu archivo `claude_desktop_config.json`:
{
"mcpServers": {
"tokenzero": {
"url": "https://tokenzero.sh/mcp"
}
}
}Puntos de conexión remotos
https://tokenzero.sh/mcpstreamable-httpQué puede hacer
Inventario de herramientas
Herramientas (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.
Esquema de entrada
{
"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.
Esquema de entrada
{
"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.
Esquema de entrada
{
"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.
Esquema de entrada
{
"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.
Esquema de entrada
{
"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"
}
}
}Comunidad
Evidencia