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Distributed-AI-trading-agent-system-with-multi-LLM-orchestration-using-MCP-
The MCP Trading System is a distributed, multi-agent AI trading simulator that models autonomous trading behavior in a dynamic market environment. The system orchestrates multiple independent trading agents—including LLM-driven, momentum-based, mean-reversion, rule-based, and random strategies—each operating concurrent
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Python
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InstallMCPRun via uvx (Python)
Universal installANY TOOL
$ npx skillcity@latest AnishNehete/Distributed-AI-trading-agent-system-with-multi-LLM-orchestration-using-MCP-Auto-detects the skill or MCP server in this repo and installs it for Claude Code, Codex, Cursor, Cline, OpenCode, Gemini CLI, Anti-Gravity, OpenClaw and Hermes.
Requires Node.js 18+ (ships with npx).
Or install manually
uvx distributed-ai-trading-agent-system-with-multi-llm-orchestration-using-mcp-
MCP Configuration
Add this to your claude_desktop_config.json
{
"mcpServers": {
"distributed-ai-trading-agent-system-with-multi-llm-orchestration-using-mcp-": {
"command": "uvx",
"args": [
"distributed-ai-trading-agent-system-with-multi-llm-orchestration-using-mcp-"
]
}
}
}Loading README…
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distributed-ai-trading-agent-system-with-multi-llm-orchestration-using-mcp- — sandboxAI sandbox
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