awesome-trading-agents MCP Server
LLMQuant/awesome-trading-agents
Curated list of LLM-driven trading agents, MCP servers, and agent skills for market research, strategy, and execution.
claude mcp add agentrank -- npx -y agentrank-mcp-server Overview
LLMQuant/awesome-trading-agents is a MCP server licensed under CC0-1.0. Curated list of LLM-driven trading agents, MCP servers, and agent skills for market research, strategy, and execution. Topics: agent-skills, agentic-ai, ai-trading, awesome-list, claude-skills, financial-ai, fintech, llm-agents, mcp, mcp-servers, prediction-markets, trading-agents, awesome.
Ranked #6333 out of 24850 indexed tools.
Ecosystem
Score Breakdown
845 stars → growing community
Last commit 1mo ago → moderate activity
2/20 issues closed → many open issues
4 contributors → small team
No dependents → no downstream usage
Weights: Freshness 20% · Issue Health 20% · Dependents 22% · Stars 10% · Contributors 8% · How we score →
How to Improve
Matched Queries
From the README
<div align="center"> <p><strong>English</strong> · <a href="README.zh-CN.md">简体中文</a></p> <p> <a href="https://awesome.re"></a> <a href="https://github.com/LLMQuant/awesome-trading-agents"></a> <a href="LICENSE"></a> <a href="https://github.com/topics/trading-agents"></a> <a href="https://github.com/LLMQuant/awesome-trading-agents/commits"></a> <a href="README.zh-CN.md"></a> </p> </div> Awesome Trading Agents collects open-source projects where LLMs help research markets, make trading decisions, or connect agents to market data and execution tools. The list focuses on three building blocks: Agents, MCPs, and Skills. It does not try to cover classic quant libraries, time-series models, or reinforcement-learning trading bots; those are better served by [`georgezouq/awesome-ai-in-finance`](https://github.com/georgezouq/awesome-ai-in-finance) and [`wilsonfreitas/awesome-quant`](https://github.com/wilsonfreitas/awesome-quant). Entries are selected for public code or artifactRead full README on GitHub →
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