Baron Power Play
Pay-per-call AI infra for agents: DeFi market data, LLM inference, STT/TTS. x402 v2, USDC on Base.
Should I use this
Quality & Safety
Findings (3)
- LOWTool 'alpha' description lacks action verbin alpha
- LOWTool 'tts' description lacks action verbin tts
- LOWTool 'stt' description lacks action verbin stt
Based on automated analysis of tool definitions and protocol compliance.
Context Cost
This is the approximate number of tokens consumed each time the server's tools are loaded into a model's context. Higher counts reduce the attention available for other tasks.
Install
One-Click Install
Add this to your `claude_desktop_config.json` file:
{
"mcpServers": {
"baron-power-play": {
"url": "https://baron-power-play.baronpowerplay.workers.dev/mcp"
}
}
}Remote endpoints
https://baron-power-play.baronpowerplay.workers.dev/mcpstreamable-httpWhat it can do
Tool inventory
Tools (5)
⚪infer(messages, stream)
LLM inference with auto-formatting and streaming. Accepts messages array, returns AI-generated text. Supports JSON/code auto-detection.
Input 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.
Input 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.
Input 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.
Input 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.
Input Schema
{
"type": "object",
"properties": {
"audio_base64": {
"type": "string"
}
},
"required": [
"audio_base64"
]
}Community
Evidence