SEC MCP provides a streamlined interface to access SEC EDGAR data through the Model Context Protocol. It supports real-time data streaming via SSE, making it ideal for both local development and remote deployment scenarios. Built with Python and the MCP framework, this server enables seamless integration with AI assistants and other tools.
{
"mcpServers": {
"sec-mcp": {
"command": "<see-readme>",
"args": []
}
}
}No install config available. Check the server's README for setup instructions.
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SEC MCP provides a streamlined interface to access SEC EDGAR data through the Model Context Protocol. It supports real-time data streaming via SSE, making it ideal for both local development and remote deployment scenarios. Built with Python and the MCP framework, this server enables seamless integration with AI assistants and other tools.
Is it safe?
No package registry to scan.
No authentication — any process on your machine can connect.
MIT. View license →
Is it maintained?
Last commit 275 days ago. 14 stars.
Will it work with my client?
Transport: stdio. Works with Claude Desktop, Cursor, Claude Code, and most MCP clients.
No automated test available for this server. Check the GitHub README for setup instructions.
No known vulnerabilities.
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A comprehensive collection of advanced Model Context Protocol (MCP) servers that transform Claude Code CLI into an institutional-grade financial research platform.
This repository contains 8 specialized MCP servers that provide Claude Code CLI with capabilities rivaling professional financial platforms used by hedge funds and investment banks:
| MCP | Description | Key Features | |-----|-------------|--------------| | SEC Scraper | XBRL parsing & comprehensive analysis | DCF modeling, Monte Carlo simulations | | News Sentiment | Advanced NLP for financial text | Context-aware sentiment, earnings call analysis | | Analyst Ratings | Consensus tracking & peer comparison | Rating aggregation, price target analysis | | Institutional | Ownership & fund flow analysis | 13F tracking, insider transactions | | Alternative Data | Web scraping for unique insights | Hiring trends, social sentiment, reviews | | Industry Assumptions | Sector analysis & modeling | WACC calculations, peer metrics | | Economic Data | Macro indicators & regime detection | Fed data, employment, inflation | | Research Admin | Report generation & orchestration | 25+ page institutional reports |
npm install -g @anthropic-ai/claude-cli)pip install uv)git clone https://github.com/yourusername/financial-mcps.git
cd financial-mcps
uv venv
source .venv/bin/activate # On Windows: .venv\Scripts\activate
uv sync
# Run the setup script
./setup_all_mcps.sh
# Or manually add each MCP:
claude mcp add SEC "./FinancialMCPs/SEC_SCRAPER_MCP/start-mcp.sh" --transport stdio
claude mcp add NEWS-SENTIMENT "./FinancialMCPs/NEWS_SENTIMENT_SCRAPER/start-mcp.sh" --transport stdio
claude mcp add ANALYST-RATINGS "./FinancialMCPs/ANALYST_RATINGS_SCRAPER/start-mcp.sh" --transport stdio
claude mcp add INSTITUTIONAL "./FinancialMCPs/INSTITUTIONAL_SCRAPER/start-mcp.sh" --transport stdio
claude mcp add ALTERNATIVE-DATA "./FinancialMCPs/ALTERNATIVE_DATA_SCRAPER/start-mcp.sh" --transport stdio
claude mcp add INDUSTRY-ASSUMPTIONS "./FinancialMCPs/INDUSTRY_ASSUMPTIONS_ENGINE/start-mcp.sh" --transport stdio
claude mcp add ECONOMIC-DATA "./FinancialMCPs/ECONOMIC_DATA_COLLECTOR/start-mcp.sh" --transport stdio
claude mcp add
... [View full README on GitHub](https://github.com/LuisRincon23/SEC-MCP#readme)