Baron Power Play
Pay-per-call AI infra for agents: DeFi market data, LLM inference, STT/TTS. x402 v2, USDC on Base.
Sollte ich dies verwenden
Qualität und Sicherheit
Befunde (3)
- LOWin alpha
- LOWin tts
- LOWin stt
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": {
"baron-power-play": {
"url": "https://baron-power-play.baronpowerplay.workers.dev/mcp"
}
}
}Remote-Endpunkte
https://baron-power-play.baronpowerplay.workers.dev/mcpstreamable-httpWas es kann
Tool-Inventar
Tools (5)
⚪infer(messages, stream)
LLM inference with auto-formatting and streaming. Accepts messages array, returns AI-generated text. Supports JSON/code auto-detection.
Eingabe-Schema
{
"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.
Eingabe-Schema
{
"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.
Eingabe-Schema
{
"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.
Eingabe-Schema
{
"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.
Eingabe-Schema
{
"type": "object",
"properties": {
"audio_base64": {
"type": "string"
}
},
"required": [
"audio_base64"
]
}Community
Nachweis