3 tagged investment-research, measured the same way as everything else here.
MCP server Claude CodeCodexCursor +2
US stock attack/defense macro signals: 4-dimension framework, 26-year backtested. Research only. Runs locally from the stock-sentinel-mcp npm package. Needs 1 environment variable to run.
MCP server Claude CodeCodexCursor +2
SEC EDGAR financial data for AI agents — revenue, margins, filings, company comparisons. Runs locally from the stockscope-mcp npm package.
MCP server Claude CodeCodexCursor +2
Source-linked market intelligence for AI agents. Runs locally from the catalyst-edge-mcp Python package. Needs 4 environment variables to run.