MCP server
by octagonai
Octagon Investment Research offers powerful tools for SEC EDGAR database analysis, SEC filings, and US securities data i
Provides AI-powered financial research and analysis through access to SEC filings, earnings calls, stock data, private company information, and funding transactions. Includes web scraping capabilities for extracting structured data from websites.
Octagon Investment Research is an official MCP server published by octagonai that provides AI assistants with tools and capabilities via the Model Context Protocol. Octagon Investment Research offers powerful tools for SEC EDGAR database analysis, SEC filings, and US securities data i It is categorized under finance, analytics data.
You can install Octagon Investment Research in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport.
MIT
Octagon Investment Research is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.
Add new capabilities to Claude beyond text generation
Example
Access external data sources, execute code, interact with tools and services
Transform Claude from chatbot to action-taking agent
Provide Claude with access to relevant context and data
Example
Load project documentation, access knowledge bases, query databases
Get more accurate, context-aware responses
Automate multi-step workflows combining AI and external tools
Example
Research → Summarize → Create document → Send notification
Complete complex tasks end-to-end without manual steps
Share your MCP server with the developer community
Octagon Investment Research reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
Strong directory entry: Octagon Investment Research surfaces stars and publisher context so we could sanity-check maintenance before adopting.
According to our notes, Octagon Investment Research benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
Octagon Investment Research is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
According to our notes, Octagon Investment Research benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
Octagon Investment Research has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
Useful MCP listing: Octagon Investment Research is the kind of server we cite when onboarding engineers to host + tool permissions.
I recommend Octagon Investment Research for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
Useful MCP listing: Octagon Investment Research is the kind of server we cite when onboarding engineers to host + tool permissions.
We wired Octagon Investment Research into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
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The Octagon MCP server provides specialized AI-powered financial research and analysis by integrating with the Octagon Market Intelligence API, enabling users to easily analyze and extract detailed insights from public filings, earnings call transcripts, financial metrics, stock market data, and extensive private market transactions within Claude Desktop and other popular MCP clients.
✅ Comprehensive Market Intelligence - Orchestrates multiple specialized agents for complete market analysis
✅ Deep Research Capabilities - Comprehensive research tools that can aggregate information from multiple sources
✅ Web Scraping - Extract structured data from any public website (json, csv, python scripts)
To use Octagon MCP, you need to:
OCTAGON_API_KEY valueBefore installing or running Octagon MCP, you need to have npx (which comes with Node.js and npm) installed on your system.
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 node
This will install the latest version of Node.js, npm, and npx.
Verify installation:
node -v
npm -v
npx -v
node -v
npm -v
npx -v
If you see version numbers for all three, you are ready to proceed with the installation steps below.
To configure Octagon MCP for Claude Desktop:
claude_desktop_config.json (Replace your-octagon-api-key with your Octagon API key):{
"mcpServers": {
"octagon-mcp-server": {
"command": "npx",
"args": ["-y", "octagon-mcp@latest"],
"env": {
"OCTAGON_API_KEY": "YOUR_API_KEY_HERE"
}
}
}
}
Configuring Cursor Desktop 🖥️ Note: Requires Cursor version 0.45.6+
To configure Octagon MCP in Cursor:
env OCTAGON_API_KEY=your-octagon-api-key npx -y octagon-mcpIf 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.
Add this to your ./codeium/windsurf/model_config.json:
{
"mcpServers": {
"octagon-mcp-server": {
"command": "npx",
"args": ["-y", "octagon-mcp@latest"],
"env": {
"OCTAGON_API_KEY": "YOUR_API_KEY_HERE"
}
}
}
}
env OCTAGON_API_KEY=your_octagon_api_key npx -y octagon-mcp
npm install -g octagon-mcp
For comprehensive documentation on using Octagon agents, please visit our official documentation at: https://docs.octagonagents.com
The documentation includes:
Each tool uses a single prompt parameter that accepts a natural language query. Include all relevant details in your prompt.
[COMPREHENSIVE MARKET INTELLIGENCE] Orchestrates all agents for comprehensive market intelligence analysis. 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.
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
Compare the financial performance of Tesla, Ford, and GM over the last 3 years
What was Microsoft's acquisition of GitHub valued at and what were the strategic reasons?
Analyze institutional ownership changes for NVIDIA over the past 6 months
[PUBLIC & PRIVATE MARKET INTELLIGENCE] Specialized agent for financial data extraction from investor websites. Extract structured financial data from investor relations websites, tables, and online financial sources.
Best for: Gathering financial data from websites that don't have accessible APIs.
Example queries:
Extract all data fields from zillow.com/san-francisco-ca/
Extract all data fields from www.carvana.com/cars/
Extract financial metrics from tesla.com/investor-relations
Extract pricing data from salesforce.com/products/platform/pricing/
[PUBLIC & PRIVATE MARKET INTELLIGENCE] A comprehensive agent that can utilize multiple sources for deep research analysis. 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
Research the impact of AI adoption on semiconductor demand and pricing trends
Analyze the regulatory environment for cryptocurrency and its impact on crypto exchange valuations
MIT
While this server provides comprehensive market intelligence combining all our specialized agents, you can also use our individual MCP servers for specific use cases:
Prerequisites
Time Estimate
15-60 minutes depending on server complexity
Steps
Troubleshooting
✓ Do
✗ Don't
💡 Pro Tips
Architecture
Model Context Protocol standardizes how AI hosts (Claude, Cursor) communicate with external tools and data sources through server implementations.
Protocols
Compatibility
✓ Use when
Use when you need Claude to access external data, execute actions, or integrate with tools. Best for extending AI capabilities beyond conversation.
✗ Avoid when
Avoid when native integrations exist (use official APIs directly), for real-time critical systems, or when security/compliance requires zero external dependencies.