
finance-trading-ai-agents-mcp
by aitrados·★ 63·综合分 45
专业的金融分析交易MCP服务器,提供实时数据、AI集成和经纪商连接功能。
概述
金融交易AI代理MCP是一个专为金融分析和量化交易设计的专业MCP服务器。它采用部门式架构,模拟真实金融公司的运作方式,提供传统技术指标、价格行为分析、经济日历、基本面和新闻集成的全面工具。该服务器支持LLM交互和算法交易,具备实时流式OHLC数据处理能力。它还注重可扩展性,允许自定义MCP服务,并通过本地RPC/PubSub服务实现跨进程通信。
试试问 AI
装完之后,这里有 5 个你可以让 AI 做的事:
什么时候选它
当需要构建集成实时市场数据、技术指标或算法交易能力的金融分析系统时,选择此服务器。
什么时候不要选它
如果需要非金融数据工具,应避免使用此服务器,因为它专门针对金融操作和市场数据。
此 server 暴露的工具
从 README 抽取出 12 个工具query_technical_indicatorsCalculate traditional technical indicators for financial analysis
price_action_analysisAnalyze price action patterns and identify support/resistance levels
fetch_financial_newsRetrieve real-time financial news and sentiment analysis
fundamental_analysisPerform company fundamentals and financial data analysis
economic_calendarAccess economic calendar and important market events
live_ohlc_dataGet real-time OHLC (Open, High, Low, Close) data for various timeframes
account_informationQuery trading account information and balance details
place_orderPlace trading orders through the broker interface
cancel_orderCancel existing trading orders
market_overviewGet a comprehensive market overview and sector performance
technical_screenerScreen stocks based on technical indicator conditions
sentiment_analysisAnalyze market sentiment from news and social media
说明:Tool names inferred from the functional modules section and general descriptions. The README doesn't provide a clear list of exposed MCP tools, but describes capabilities that would likely be exposed as tools.
可对比工具
安装
# 从PyPI安装(推荐)
pip install finance-trading-ai-agents-mcp
# 运行服务器
finance-trading-ai-agents-mcp
# 或指定.env文件
finance-trading-ai-agents-mcp --env-file .env对于Claude Desktop,添加到您的claude_desktop_config.json中:
{
"mcpServers": {
"finance-trading": {
"command": "python",
"args": ["-m", "finance_trading_ai_agents_mcp"]
}
}
}FAQ
- 是否有可用的免费API密钥?
- 是的,可在 https://www.aitrados.com/ 获取免费的 secret_key (AITRADOS_SECRET_KEY)
- 是否支持经纪商集成?
- 是的,MCP可以调用经纪商查询账户信息、下单和取消订单。
finance-trading-ai-agents-mcp 对比
最后更新于 · 由 README + GitHub 公开数据自动生成。