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MCP Market Data Server

@fintools-ai

About 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

Basic information

Category

Finance & Commerce

Runtime

python

Transports

stdio

Publisher

fintools-ai

Config

No standard config provided

This server doesn't expose a parseable MCP config block in its README. See the repository for install instructions.

Repository

Tools

No tools detected

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Overview

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

FAQ from MCP Market Data Server

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.

Comments

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