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Octagon

Dev Tools Remote 4 tools

Deliver real-time investment research with extensive private and public market data.

Connect GitHub

MCP endpoint

https://octagon.run.tools

How to connect

Smithery (hosted)

1. Open https://smithery.ai/servers/octagon
2. Click Connect and complete OAuth in your MCP client (Claude, Cursor, VS Code, etc.)
3. MCP endpoint: https://octagon.run.tools

Tools (4)

octagon-agent
Orchestrates all agents for comprehensive market intelligence analysis. Capabilities: Combines insights from SEC filings, earnings calls, financial metrics, stock data, institutional holdings, private company research, funding analysis, M&A transactions, investor intelligence, and debt analysis to provide holistic market intelligence. Best for: Complex research requiring multiple data sources and comprehensive analysis across public and private markets. Example queries: 'Retrieve year-over-year
octagon-deep-research-agent
A comprehensive agent that can utilize multiple sources for deep research analysis. Capabilities: Aggregate research across multiple data sources, synthesize information, and provide comprehensive investment research. Best for: Investment research questions requiring up-to-date aggregated information from the web. Example queries: 'Research the financial impact of Apple's privacy changes on digital advertising companies' revenue and margins', 'Analyze the competitive landscape in the cloud compu
octagon-prediction-markets-agent
A specialized agent for creating research reports on Kalshi events (Polymarket coming soon). See what's driving prices, compare market vs model probabilities, and find potential mispricings. Note: It's recommended to attempt to retrieve a cached report first as new reports may take several minutes to generate. Example queries: 'https://kalshi.com/markets/kxbtcy/btc-price-range-eoy/kxbtcy-27jan0100', 'https://kalshi.com/markets/kxnbawest/nba-western-conference-championship/kxnbawest
prediction_markets_history
Fetch historical data for a prediction market event by ticker. Supports pagination (limit, cursor) and time window (captured_from, captured_to) and optionally include analysis columns. Note: For a typical Kalshi Market URL, the event ticker is the final segment in the URL. For example, for the URL https://kalshi.com/markets/kxbtcy/btc-price-range-eoy/kxbtcy-27jan0100, the event ticker is kxbtcy-27jan0100.