Awesome Trading Agents
Curated list of LLM-driven trading agents, MCP servers, and agent skills for market research, strategy, and execution.
What is Awesome Trading Agents?
Awesome Trading Agents is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to curated list of llm-driven trading agents, mcp servers, and agent skills for market research, strategy, and execution.
Curated list of LLM-driven trading agents, MCP servers, and agent skills for market research, strategy, and execution.
This server falls under the Finance & Fintech category on MCPgee, the world's largest MCP server directory with 33,000+ servers.
Features
- Curated list of LLM-driven trading agents, MCP servers, and
Use Cases
Maintainer
Works with
Installation
Manual Installation
npx awesome-trading-agentsConfiguration
Configuration Details
claude_desktop_config.json
Performance
Response Metrics
Resource Usage
How to Set Up and Use Awesome Trading Agents
Awesome Trading Agents is a curated, community-maintained directory of open-source projects that use large language models for financial markets — covering trading agents, MCP servers that connect to market data and brokerages, and reusable Claude skills for equity research, strategy coding, and portfolio management. It is a navigation resource for developers building LLM-driven trading systems, not a standalone executable server, so 'installation' means exploring and integrating the individual listed projects.
Prerequisites
- Git for cloning individual projects from the list
- Node.js or Python depending on which listed project you choose to run
- Brokerage or exchange API credentials (e.g. Alpaca, Kraken, OKX) for trading-connected MCPs
- An MCP-compatible client such as Claude Desktop or Claude Code for MCP servers in the list
- Familiarity with the Model Context Protocol for integrating listed MCP servers
Browse the curated list
Visit the GitHub repository to explore the three main categories: Agents (LLM-driven trading systems), MCPs (market data and brokerage connections), and Skills (reusable Claude instruction sets).
# Open in browser
https://github.com/LLMQuant/awesome-trading-agentsIdentify the project that fits your use case
The list is divided into agents (multi-agent debate frameworks, equity research copilots, prediction market specialists), MCP servers (Alpaca, Kraken, OKX, TradingView, data aggregators), and Claude skills (equity research, strategy backtesting, portfolio management).
Clone and configure your chosen project
Follow that project's own README to install dependencies, set API keys, and configure the MCP server. Each entry has its own setup requirements.
git clone <project-repo-url>
cd <project-directory>
# Follow the project's READMEAdd the chosen MCP server to your MCP client
For MCP servers listed in the directory (such as alpaca-mcp-server), add the server's command and environment variables to your claude_desktop_config.json following its specific documentation.
Contribute or track new projects
The list accepts pull requests and issue submissions for new LLM trading projects, MCPs, and skills via CONTRIBUTING.md in the repository.
Awesome Trading Agents Examples
Client configuration (example: alpaca-mcp-server from the list)
This is an example of how one of the MCP servers listed in Awesome Trading Agents — the Alpaca brokerage MCP — would be configured. Each project in the directory has its own config.
{
"mcpServers": {
"alpaca-trading": {
"command": "npx",
"args": ["-y", "alpaca-mcp-server"],
"env": {
"ALPACA_API_KEY": "your-alpaca-api-key",
"ALPACA_SECRET_KEY": "your-alpaca-secret-key",
"ALPACA_BASE_URL": "https://paper-api.alpaca.markets"
}
}
}
}Prompts to try
After integrating an MCP server from the Awesome Trading Agents directory, prompts like these can be used with Claude.
- "Show me a curated list of LLM-driven trading agents that support prediction markets."
- "Which MCP servers in Awesome Trading Agents support crypto exchange trading?"
- "Find me an open-source equity research agent that uses a multi-agent debate framework."
- "What Claude skills are available for strategy backtesting from the Awesome Trading Agents list?"Troubleshooting Awesome Trading Agents
A listed project's repository link returns 404 or has been archived
Check the main Awesome Trading Agents repository for updated links or open an issue to report a broken link. The community actively maintains the list via pull requests.
An MCP server from the list requires API credentials that are unclear
Each listed project has its own README with setup instructions. Navigate to that project's GitHub repository directly and follow its specific environment variable and authentication documentation.
Unsure which project in the list to start with for a specific use case
Filter by category: use the 'MCPs > Brokerage/Exchange Trading' section for live trading, 'Agents > Research' for equity analysis, and 'Skills' for reusable Claude Code instruction sets.
Frequently Asked Questions about Awesome Trading Agents
What is Awesome Trading Agents?
Awesome Trading Agents is a Model Context Protocol (MCP) server that curated list of llm-driven trading agents, mcp servers, and agent skills for market research, strategy, and execution. It connects AI assistants to external tools and data sources through a standardized interface.
How do I install Awesome Trading Agents?
Follow the installation instructions on the Awesome Trading Agents GitHub repository. Clone the repo, install dependencies, and add the server config to your AI client.
Which AI clients work with Awesome Trading Agents?
Awesome Trading Agents works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.
Is Awesome Trading Agents free to use?
Yes, Awesome Trading Agents is open source and available under the CC0-1.0 license. You can use it freely in both personal and commercial projects.
Awesome Trading Agents Alternatives — Similar Finance & Fintech Servers
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Browse More Finance & Fintech MCP Servers
Explore all finance & fintech servers available in the MCPgee directory. Each server includes setup guides for Claude, Cursor, and VS Code.
Set Up Awesome Trading Agents in Your Editor
Choose your AI client for step-by-step setup instructions.
Quick Config Preview
Add this to your claude_desktop_config.json or .cursor/mcp.json
Ready to use Awesome Trading Agents?
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