QuantContext
Deterministic stock screening, backtesting, and factor analysis for AI trading agents
What is QuantContext?
QuantContext is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to deterministic stock screening, backtesting, and factor analysis for ai trading agents
Deterministic stock screening, backtesting, and factor analysis for AI trading agents
This server falls under the Finance & Fintech category on MCPgee, the world's largest MCP server directory with 33,000+ servers.
Features
- Deterministic stock screening, backtesting, and factor analy
Use Cases
Maintainer
Works with
Installation
PIP
pip install quantcontext-mcpManual Installation
pip install quantcontext-mcpConfiguration
Configuration Details
claude_desktop_config.json
Performance
Response Metrics
Resource Usage
Frequently Asked Questions about QuantContext
What is QuantContext?
QuantContext is a Model Context Protocol (MCP) server that deterministic stock screening, backtesting, and factor analysis for ai trading agents It connects AI assistants to external tools and data sources through a standardized interface.
How do I install QuantContext?
Install via pip with: pip install quantcontext-mcp. Then configure your AI client to connect to this MCP server.
Which AI clients work with QuantContext?
QuantContext works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.
Is QuantContext free to use?
Yes, QuantContext is open source and available under the MIT license. You can use it freely in both personal and commercial projects.
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Set Up QuantContext 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
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