A
securityA
licenseA
qualityMCP server that provides AI assistants access to stock market data including financial statements, stock prices, and market news through a Model Context Protocol interface.
Last updated -
11
492
MIT License
The README includes detailed Docker deployment instructions, allowing the MCP server to be containerized and run in a Docker environment with specified environment variables and ports.
The server uses .env files for configuration, specifically to store the Tiingo API key required for accessing market data.
NumPy is listed as a core dependency for the server's technical analysis capabilities.
Pandas is used for data manipulation and analysis within the server's technical analysis modules.
The server is built on Python 3.11+ and requires Python for execution.
The server uses YAML for Smithery configuration, defining required parameters and integration with Claude Desktop.
📦 Project Archived
This project has been superseded by a completely new MCP server.
New MCP Server
A new, completely rewritten MCP server is now available at:
🔗 https://github.com/wshobson/maverick-mcp
What This Means
- This repository (
mcp-trader) is now archived and will no longer receive updates - The new repository contains a completely new MCP server with enhanced capabilities
- This is not a migration of the same codebase, but rather a fresh implementation
Getting Started with the New Server
To use the new MCP server:
- Clone the new repository:
- Follow the setup instructions in the new repository's README
- Update your Claude Desktop configuration to use the new server
- Star/watch the new repository to stay updated with the latest features
Thank You
Thank you for your interest in this project. The new MCP server offers enhanced capabilities and a completely fresh implementation!
This server cannot be installed
remote-capable server
The server can be hosted and run remotely because it primarily relies on remote services or has no dependency on the local environment.
The MCP Trader Server conducts comprehensive technical analysis on stocks, offering insights into trends, momentum indicators, volatility metrics, and volume analysis to support stock trading decisions.
- Features
- Setup
- Configuration
- Development
- Example Usage
- Dependencies
- Contributing
- Future Plans
- Further Reading
Related Resources
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