The Octagon MCP server provides AI-powered financial research and analysis tools for both public and private market data through specialized agents, enabling users to extract insights from various financial sources.
Public Market Intelligence:
Analyze SEC filings (10-K, 10-Q, 8-K, 20-F, S-1) for over 8,000 public companies
Extract insights from earnings call transcripts and management commentary
Calculate financial metrics/ratios and compare financial performance
Analyze stock market data, including price movements and trading volumes
Private Market Intelligence:
Research information on over 3 million private companies and their financials
Investigate startup funding rounds, investors, and valuations
Analyze M&A, IPO, and other corporate transactions
Research investor profiles and their investment activities
Analyze private debt activities, borrowers, and lenders
Additional Capabilities:
Extract financial data from public websites via web scraping
Perform comprehensive research across multiple data sources
Use specialized agents like
octagon-sec-agent,octagon-transcripts-agent, and others for specific tasksIntegrate seamlessly with MCP clients like Claude Desktop, Cursor, and Windsurf
Used as an example for analyzing financial data from SEC filings, retrieving gross margin percentages, and researching the impact of their privacy changes on advertising companies.
Mentioned as an acquisition target in an example query for researching M&A transactions through the octagon-deals-agent.
Used in examples for analyzing earnings call transcripts, particularly regarding AI chip demand statements from their CEO.
Mentioned as a company that can be researched for funding information, including latest round size, valuation, and key investors.
Used in examples for calculating financial ratios like price-to-earnings and analyzing R&D spending trends over time.
Used as an example for web scraping capabilities, particularly for extracting property prices and square footage data from specific locations.
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@mcp-octagonanalyze Apple's latest earnings call and provide key insights"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
Octagon: MCP for Market Data
The Octagon MCP server provides specialized AI-powered financial research and analysis by integrating with the Octagon Market Intelligence API, enabling users to analyze and extract insights from public filings, earnings calls, financial metrics, private market transactions, and prediction market events within Claude Desktop and other popular MCP clients.

Tools
✅ octagon-agent orchestrates broad market intelligence analysis
Public market insights (SEC filings, transcripts, financials, stock data)
Private market insights (companies, funding rounds, deals, debt, investors)
✅ octagon-deep-research-agent for comprehensive deep research
Multi-source synthesis for investment research questions
Best for up-to-date, cross-source thematic analysis
✅ Prediction market research tooling
prediction-markets-agentfor Kalshi event research reportsprediction_markets_historyfor structured historical market data retrieval
Related MCP server: Portfolio Manager
Get Your Octagon API Key
To use Octagon MCP, you need to:
Sign up for a free account at Octagon
After logging in, from left menu, navigate to API Keys
Generate a new API key
Use this API key in your configuration as the
OCTAGON_API_KEYvalue
Prerequisites
Before installing or running Octagon MCP, you need to have npx (which comes with Node.js and npm) installed on your system.
Mac (macOS)
Install Homebrew (if you don't have it):
/bin/bash -c "$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/HEAD/install.sh)"Install Node.js (includes npm and npx):
brew install nodeThis will install the latest version of Node.js, npm, and npx.
Verify installation:
node -v npm -v npx -v
Windows
Download the Node.js installer:
Go to https://nodejs.org/ and download the LTS version for Windows.
Run the installer and follow the prompts. This will install Node.js, npm, and npx.
Verify installation: Open Command Prompt and run:
node -v npm -v npx -v
If you see version numbers for all three, you are ready to proceed with the installation steps below.
Installation
Running on Claude Desktop
To configure Octagon MCP for Claude Desktop:
Open Claude Desktop
Go to Settings > Developer > Edit Config
Add the following to your
claude_desktop_config.json(Replaceyour-octagon-api-keywith your Octagon API key):
{
"mcpServers": {
"octagon-mcp-server": {
"command": "npx",
"args": ["-y", "octagon-mcp@latest"],
"env": {
"OCTAGON_API_KEY": "YOUR_API_KEY_HERE"
}
}
}
}Restart Claude for the changes to take effect
Running on Cursor
Configuring Cursor Desktop 🖥️ Note: Requires Cursor version 0.45.6+
To configure Octagon MCP in Cursor:
Open Cursor Settings
Go to Features > MCP Servers
Click "+ Add New MCP Server"
Enter the following:
Name: "octagon-mcp" (or your preferred name)
Type: "command"
Command:
env OCTAGON_API_KEY=your-octagon-api-key npx -y octagon-mcp
If you are using Windows and are running into issues, try
cmd /c "set OCTAGON_API_KEY=your-octagon-api-key && npx -y octagon-mcp"
Replace your-octagon-api-key with your Octagon API key.
After adding, refresh the MCP server list to see the new tools. The Composer Agent will automatically use Octagon MCP when appropriate, but you can explicitly request it by describing your investment research needs. Access the Composer via Command+L (Mac), select "Agent" next to the submit button, and enter your query.
Running with npx
env OCTAGON_API_KEY=your_octagon_api_key npx -y octagon-mcpManual Installation
npm install -g octagon-mcpDocumentation
For comprehensive documentation on using Octagon agents, please visit our official documentation at: https://docs.octagonagents.com
The documentation includes:
Detailed API references
Agent-specific query guidelines
Examples and use cases
Best practices for investment research
For the latest hosted MCP client setup guide, see:
Available Tools
The MCP server currently exposes the following tools:
octagon-agent
Orchestrates public and private market intelligence analysis.
Parameters
prompt(string, required): natural language research request.
Example:
Compare NVIDIA and AMD on latest quarterly revenue growth, margins, and management commentary.More examples:
"What were Amazon's revenue and net income figures in Q4 2023?"
"Analyze Tesla's R&D spending trends over the last 3 years."
"What guidance did NVIDIA's CEO provide regarding AI chip demand in their latest earnings call?"
"Compare the price-to-earnings, price-to-sales, and EV/EBITDA ratios for the top 5 semiconductor companies."
"What was Anthropic's latest funding round size, valuation, and key investors?"
"How many investments did Andreessen Horowitz make in AI startups in the last 12 months?"
octagon-deep-research-agent
Performs comprehensive multi-source deep research and synthesis.
Parameters
prompt(string, required): natural language research request.
Example:
Research the impact of lower interest rates on late-stage private software valuations over the next 12 months.More examples:
"Extract all data fields from zillow.com/san-francisco-ca/"
"Research the financial impact of Apple's privacy changes on digital advertising companies' revenue and margins"
"Retrieve historical Bitcoin price data from 2023 and analyze the price volatility trends"
"Analyze the competitive dynamics in the EV charging infrastructure market"
prediction-markets-agent
Generates research reports for Kalshi prediction market events.
Parameters
prompt(string, required): natural language research request.cache(boolean, optional): controls agent variant routing.omitted:
prediction-markets-agentfalse:prediction-markets-agent:refreshtrue:prediction-markets-agent:cache
Example:
Generate a report for the Kalshi market https://kalshi.com/markets/kxbtcy/btc-price-range-eoy/kxbtcy-27jan0100prediction_markets_history
Fetches historical data for a prediction market event ticker with optional pagination and time filters.
Parameters
event_ticker(string, required)limit(number, optional)cursor(string, optional)captured_from(string, optional)captured_to(string, optional)include_analysis(boolean, optional; when true, requests analysis columns)
Example:
Fetch historical data for the Kalshi event https://kalshi.com/markets/kxbtcy/btc-price-range-eoy/kxbtcy-27jan0100Troubleshooting
API Key Issues: Ensure your Octagon API key is correctly set in the environment or config file.
Connection Issues: Make sure the connectivity to the Octagon API is working properly.
Rate Limiting: If you encounter rate limiting errors, reduce the frequency of your requests.
License
MIT
Individual Specialized MCP Servers
While this server provides comprehensive market intelligence combining all our specialized agents, you can also use our individual MCP servers for specific use cases:
Public Market Data Servers
Octagon SEC Filings MCP - Dedicated server for SEC filings analysis
Octagon Earnings Transcripts MCP - Specialized for earnings call transcript analysis
Octagon Stock Market Data MCP - Focused on stock market data access
Octagon Financial Statements MCP - Financial metrics and ratios analysis
Octagon 13F Holdings MCP - Institutional ownership and Form 13F filings
Private Market Data Servers
Octagon Private Companies MCP - Private company research and intelligence
Octagon Investors MCP - Investor profiles and investment strategies
Octagon Funding Data MCP - Startup funding rounds and venture capital data
Research Tools
Octagon Deep Research MCP - Comprehensive research and web scraping capabilities
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