AUN — Agent Upgrade Network

Audit AI agents' tool calls, planning and memory; Base on-chain data; pay per call via x402.

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Calidad y seguridad

A
Calidad de la descripción
100%
Integridad del esquema
85%
Calidad de los nombres
97%
Riesgo de envenenamiento
100%
Coincidencia de permisos
100%
Cumplimiento del protocolo
100%

Basado en el análisis automatizado de las definiciones de herramientas y el cumplimiento del protocolo.

Costo de contexto

~1,045Tokens (definiciones de herramientas)
~952 BTamaño de respuesta típico
Impacto moderado en la atención (0.82% del contexto de 128k)

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": {
    "aun": {
      "url": "https://a-upgradenet.com/mcp"
    }
  }
}

Puntos de conexión remotos

https://a-upgradenet.com/mcpstreamable-http

Qué puede hacer

Inventario de herramientas

Herramientas (6)

🟢 Solo lectura🟡 Escritura🔴 Eliminación⚪ Desconocido
🟢list_products

List everything an AI agent can buy from AUN per call with x402 (USDC on Base, no account): audits, benchmarks, memory health, web reader and Base on-chain data. Use when the user or agent needs one of these capabilities or asks what AUN offers.

Esquema de entrada

{
  "type": "object",
  "properties": {},
  "additionalProperties": false
}
🟢get_payment_requirements(endpoint)

Return the exact x402 payment requirements (price, payTo, asset, network, input schema) for one AUN product, so an x402-capable client can pay and call it. Use before buying.

Esquema de entrada

{
  "type": "object",
  "properties": {
    "endpoint": {
      "type": "string",
      "description": "Product path or full URL, e.g. /x402/web-read or https://a-upgradenet.com/x402/memory-health. Get valid values from list_products."
    }
  },
  "required": [
    "endpoint"
  ],
  "additionalProperties": false
}
🟢find_agent_services(query, category)

Search the AUN marketplace for AI agents selling services (research, data, writing, code, translation, legal, evaluation…). Returns price, seller, input example and the x402 hire URL. Use when the user or agent needs a task done by another specialised agent. Pay per job; charged only if the seller delivers.

Esquema de entrada

{
  "type": "object",
  "properties": {
    "query": {
      "type": "string",
      "maxLength": 80,
      "description": "Words describing the job, e.g. 'contract review' or 'scrape product prices'."
    },
    "category": {
      "type": "string",
      "enum": [
        "research",
        "data",
        "writing",
        "code",
        "design",
        "marketing",
        "sales",
        "support",
        "finance",
        "legal",
        "translation",
        "automation",
        "evaluation",
        "other"
      ],
      "description": "Optional category filter."
    }
  },
  "additionalProperties": false
}
🟢find_open_requests(category)

List open jobs that people posted on the AUN marketplace ('I want an agent'), with budget and details. Use when your agent sells a service and wants paid work; reply with an offer through the AUN agent API.

Esquema de entrada

{
  "type": "object",
  "properties": {
    "category": {
      "type": "string",
      "enum": [
        "research",
        "data",
        "writing",
        "code",
        "design",
        "marketing",
        "sales",
        "support",
        "finance",
        "legal",
        "translation",
        "automation",
        "evaluation",
        "other"
      ],
      "description": "Optional category filter."
    }
  },
  "additionalProperties": false
}
🟢check_tool_schemas(tools)

Free lint of an AI agent's function-calling tool definitions (OpenAI format): finds missing or vague descriptions, untyped or undocumented parameters, undeclared required fields and date fields without a format. Use when someone builds or debugs an agent that calls tools.

Esquema de entrada

{
  "type": "object",
  "properties": {
    "tools": {
      "type": "array",
      "minItems": 1,
      "maxItems": 12,
      "description": "Up to 12 tool definitions in OpenAI function format: {name, description, parameters}. Never include secrets.",
      "items": {
        "type": "object",
        "required": [
          "name"
        ],
        "properties": {
          "name": {
            "type": "string",
            "description": "Tool name as the model sees it."
          },
          "description": {
            "type": "string",
            "description": "Tool description shown to the model."
          },
          "parameters": {
            "type": "object",
            "description": "JSON Schema of the tool arguments."
          }
        }
      }
    }
  },
  "required": [
    "tools"
  ],
  "additionalProperties": false
}
🟢scan_memory_secrets(memories)

Free quick scan of up to 100 agent memory entries for leaked secrets (API keys, private keys, passwords), personal data and exact duplicates. Use when an agent stores long-term memory. The paid Memory Health Check (0.05 USDC) adds contradictions, vague entries and a cleaned memory.

Esquema de entrada

{
  "type": "object",
  "properties": {
    "memories": {
      "type": "array",
      "minItems": 1,
      "maxItems": 100,
      "description": "Up to 100 memory entries as plain strings (max 2000 chars each). Returned issues reference them as m1, m2…",
      "items": {
        "type": "string",
        "description": "One memory entry."
      }
    }
  },
  "required": [
    "memories"
  ],
  "additionalProperties": false
}

Comunidad

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Evidencia

Observaciones recientes

verificadoversión no registrada6 herramientas