Baron Power Play

Pay-per-call AI infra for agents: DeFi market data, LLM inference, STT/TTS. x402 v2, USDC on Base.

我該用這個嗎

品質與安全性

B
說明品質
82%
結構描述完整度
76%
命名品質
80%
汙染風險
100%
權限相符程度
100%
協定合規性
100%

發現項目(3)

  • LOWTool 'alpha' description lacks action verb在 alpha 中
  • LOWTool 'tts' description lacks action verb在 tts 中
  • LOWTool 'stt' description lacks action verb在 stt 中

根據工具定義與協定合規性的自動化分析。

上下文成本

~386Token(工具定義)
~445 B典型回應大小
極小的注意力影響(128k 上下文的 0.30%)

這是每次將伺服器的工具載入模型上下文時所消耗的約略 token 數量。數量越高,可用於其他工作的注意力就越少。

安裝

一鍵安裝

將以下內容加入你的 `claude_desktop_config.json` 檔案:

{
  "mcpServers": {
    "baron-power-play": {
      "url": "https://baron-power-play.baronpowerplay.workers.dev/mcp"
    }
  }
}

遠端端點

https://baron-power-play.baronpowerplay.workers.dev/mcpstreamable-http

它能做什麼

工具清單

工具(5)

🟢 唯讀🟡 寫入🔴 刪除⚪ 未知
⚪infer(messages, stream)

LLM inference with auto-formatting and streaming. Accepts messages array, returns AI-generated text. Supports JSON/code auto-detection.

輸入結構描述

{
  "type": "object",
  "properties": {
    "messages": {
      "type": "array",
      "items": {
        "type": "object",
        "properties": {
          "role": {
            "type": "string",
            "enum": [
              "user",
              "assistant",
              "system"
            ]
          },
          "content": {
            "type": "string"
          }
        }
      }
    },
    "stream": {
      "type": "boolean"
    }
  },
  "required": [
    "messages"
  ]
}
⚪markets(category, watchlist, set, since)

Real-time DeFi TVL leaders and DEX trending pairs. Supports meme coin category, watchlist filtering, and delta sync since timestamp.

輸入結構描述

{
  "type": "object",
  "properties": {
    "category": {
      "type": "string",
      "enum": [
        "all",
        "meme"
      ]
    },
    "watchlist": {
      "type": "string"
    },
    "set": {
      "type": "string"
    },
    "since": {
      "type": "integer"
    }
  }
}
⚪alpha(portfolio_size_usd)

Institutional-grade trading signals with position sizing (Kelly Criterion), chain rotation detection, and multi-timeframe analysis. Returns an actionable trade plan.

輸入結構描述

{
  "type": "object",
  "properties": {
    "portfolio_size_usd": {
      "type": "number"
    }
  }
}
⚪tts(text, emotion, pronounce)

Text-to-speech with emotion casting (happy/serious/urgent) and pronunciation memory. Returns audio/mpeg.

輸入結構描述

{
  "type": "object",
  "properties": {
    "text": {
      "type": "string"
    },
    "emotion": {
      "type": "string",
      "enum": [
        "happy",
        "serious",
        "urgent"
      ]
    },
    "pronounce": {
      "type": "object"
    }
  },
  "required": [
    "text"
  ]
}
⚪stt(audio_base64)

Speech-to-text with crypto keyword detection (bullish/bearish/dump/pump/etc.) and timestamped speaker segments. Returns transcript with keyword timestamps.

輸入結構描述

{
  "type": "object",
  "properties": {
    "audio_base64": {
      "type": "string"
    }
  },
  "required": [
    "audio_base64"
  ]
}

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已驗證未記錄版本5 個工具