Octagon MCP Server gives AI agents access to SEC filings, earnings call transcripts, financial metrics, stock market data, deep financial research, and prediction markets, covering 8,000+ public companies and 10,000+ active tickers.
The fastmcp library is a Python client for MCP servers. Use it to call MewCP tools from your own scripts and services.
This guide connects Octagon AI MCP to Python through MewCP, so Python can use Octagon AI MCP's 4 tools, like octagon-agent, octagon-deep-research-agent and octagon-prediction-markets-agent, without your Octagon AI MCP credentials ever reaching the app.
Octagon AI MCP signs in through managed OAuth. MewCP stores the token encrypted, refreshes it before it expires and injects it only at call time. Your agent never holds it, so it can never leak it.
More apps
Access cryptocurrency market data, portfolios and trading operations on Binance. Monitor assets, retrieve market information and automate crypto trading workflows.
Manage courses, assignments, rosters and student activity within Google Classroom. Create learning workflows, track submissions and organize educational content across classrooms.
Coinfuty provides cryptocurrency market intelligence for tracking digital asset prices, analyzing market trends, monitoring trading activity, and researching crypto opportunities to support data-driven investment decisions.
Access prediction market data, market positions and trading activity on Polymarket. Monitor markets, retrieve information and interact with forecasting-based financial products.
Other clients
Octagon AI MCP works the same way in every client below. Pick yours for its own guide.
Free to start.
Scope access to the exact Octagon AI MCP tools and accounts you allow, work and personal side by side. Anything outside that scope is refused at call time, even when the model asks for it.
Each call is logged: what ran, on which account, and whether it worked. Failures come back structured, so the agent knows whether to retry instead of guessing.
Every app sits behind one secure MCP URL, and there is no server for you to deploy or keep running. Add an integration in the dashboard and it is live on the next call, with no config to change and no new credentials to wire up. Tools load only when a task needs them, so your agent stays fast and focused however many apps you connect.
SDK clients sign in with an API key. Create one in your dashboard and replace API_KEY in the code below.
SDK clients run without a browser, so they sign in with your API key.
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, debt analysis, and news and press releases 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 growth in key income-statement items for AAPL, limited to 5 records and filtered by period FY', 'Analyze the latest 10-K filing for AAPL and extract key financial metrics and risk factors', 'Retrieve the daily closing prices for AAPL over the last 30 days', 'Analyze AAPL's latest earnings call transcript and extract key insights about future guidance', 'Provide a comprehensive overview of Stripe, including its business model and key metrics', 'Retrieve the funding history for Stripe, including all rounds and investors'
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 computing sector, focusing on AWS, Azure, and Google Cloud margin and growth trends', 'Investigate the factors driving electric vehicle adoption and their impact on battery supplier financials'
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-26', 'https://kalshi.com/markets/kxtrdban/congress-banned-from-trading-stocks/kxtrdban-25dec31'
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.
