Build an MCP Server for Narrative-Driven Trading Intelligence
Use LLMs to pressure-test investment theses and process market data via MCP without autonomous trading
About this automation
An MCP server that aggregates market data, RSS feeds, and financial opinions to help traders pressure-test investment theses using LLMs. The system processes large volumes of text and data about tickers without making autonomous trades, keeping human decision-making in control.
How to implement
Design MCP server architecture for financial data sources
Integrate market data APIs and exchange feeds
Build RSS feed aggregation for ticker-specific news and opinions
Create LLM prompts for thesis pressure-testing workflows
Implement data processing pipeline for large text volumes
Add risk analysis and thesis validation endpoints
Test with real market data and trading scenarios