MCP Market Data Server

@fintools-ai

代码仓库

基本信息

分类

金融与商务

传输方式

stdio

作者

fintools-ai

关于 MCP Market Data Server

Standalone server designed to deliver market data insights to AI trading agents. It processes data from external brokers and computes structured information to help LLMs and other AI systems make more informed trading decisions using JSON RPC protocol

MCP Market Data Server 配置

暂无标准配置

该服务器的 README 中没有可解析的 MCP 配置块，请前往代码仓库查看安装说明。

代码仓库

MCP Market Data Server 工具

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工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

What is MCP Market Data Server?

MCP Market Data Server provides financial market data analysis tools for LLM agents and trading applications. It implements the Model Context Protocol (MCP) and integrates with the Twelve Data API to offer institutional-grade analysis like volume profile, technical indicators, zones, and ORB.

How to use MCP Market Data Server?

Use an MCP client to call the server’s tools with a stock symbol. The server provides four tools: financial_volume_profile, financial_technical_analysis, financial_technical_zones, and analyze_open_interest.

Key features of MCP Market Data Server

Volume Profile Analysis with POC and value area
15+ technical indicators across multiple timeframes
Smart Zone Analysis using Fibonacci, ATR, and volume
Opening Range Breakout (ORB) with multi-period analysis
Async/await architecture for high performance
Secure API key management and comprehensive logging

Use cases of MCP Market Data Server

Scalping: Find 1-minute support levels for rapid trades
Swing Trading: Identify 5-minute resistance zones for breakout entries
Position Trading: Analyze daily technical trends for portfolio direction
0DTE Options: Use ORB analysis for intraday breakout confirmation
Combined analysis: Get volume profile, indicators, and zones in one query

常见问题

What API does the server use for market data?

It uses the Twelve Data API.

What runtime is required?

Python 3.8 or higher and the FastMCP library.

What tools are available?

Four tools: financial_volume_profile, financial_technical_analysis, financial_technical_zones, and analyze_open_interest. ###

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