AI Agent for SEC EDGAR MCP
Integrate AI with SEC EDGAR MCP to unlock seamless access to official SEC filings, real-time financial data, and corporate disclosures. Empower your AI assistants and LLM-powered applications with deterministic, verifiable answers directly sourced from the SEC’s EDGAR database, ensuring transparency and exact financial precision for investment research, compliance, and corporate due diligence.
Seamless Access to SEC Filings
Connect your AI tools directly to the SEC EDGAR database using MCP, enabling instant retrieval of company filings, financials, and insider transactions. Eliminate manual web searching and automate compliance, audit, and investment workflows with real-time, structured data.
- Direct Filing Retrieval.
- Instantly pull recent 10-K, 8-K, or any SEC filing for any public company with a single tool invocation.
- Accurate Financial Data.
- Leverage direct XBRL parsing to extract precise, unrounded financial metrics as reported to the SEC.
- Company Lookup & Insights.
- Search by CIK or company name to retrieve detailed profiles and structured financial facts.
- Verifiable Filing References.
- Every answer includes a direct link to the original SEC filing for independent verification and audit.
Deterministic & Transparent AI Responses
Guarantee the integrity of AI-powered research and compliance with deterministic rules—every output is traceable to official SEC sources, eliminating hallucination and ensuring accurate, auditable results.
- No Hallucination.
- Strict tool instructions ensure all answers are grounded in official SEC data—no fabricated information.
- Audit-Ready Outputs.
- Every response includes reference links, supporting audit, compliance, and regulatory requirements.
- Standardized Protocol.
- Built on Model Context Protocol (MCP), ensuring consistent, predictable interoperability across AI and LLM platforms.
Flexible Integration for Financial Workflows
Deploy SEC EDGAR MCP in any AI, LLM, or analytics platform to automate investment analysis, due diligence, or regulatory monitoring, with robust support for Windows, Mac, and Linux environments.
- Cross-Platform Support.
- Works seamlessly on Windows, Mac, and Linux for maximum deployment flexibility.
- Automated Financial Analysis.
- Enable AI to analyze SEC filings, extract trends, and present actionable insights instantly.
MCP INTEGRATION
Available SEC EDGAR MCP Integration Tools
The following tools are available as part of the SEC EDGAR MCP integration:
- company_lookup
Find companies using names or tickers and retrieve their SEC Central Index Key (CIK) for unique identification.
- company_info
Get detailed company information from SEC filings, including business address, industry, and registration facts.
- company_facts
Retrieve exact reported financial facts for a company, such as total revenue, net income, and assets, directly from XBRL filings.
- recent_filings
List a company's most recent SEC filings (10-K, 10-Q, 8-K, etc.) with filing dates and links to official documents.
- filing_content
Download and extract the full text or specific sections from any SEC filing for detailed analysis.
- filing_section
Extract specific sections (such as MD&A or Risk Factors) from filings for targeted review and summarization.
- financial_statements
Retrieve standardized balance sheet, income statement, and cash flow statement data as filed with the SEC.
- insider_transactions
Analyze Form 3, 4, and 5 filings to get detailed records of insider trades, including dates, amounts, and transaction types.
Connect Your SEC EDGAR with FlowHunt AI
Connect your SEC EDGAR to a FlowHunt AI Agent. Book a personalized demo or try FlowHunt free today!
What is SEC EDGAR MCP
SEC EDGAR MCP is an open-source Model Context Protocol (MCP) server designed to bridge AI models with the vast dataset of SEC EDGAR filings. Developed and maintained by Stefano Amorelli, this solution enables seamless, programmatic access to the U.S. Securities and Exchange Commission’s Electronic Data Gathering, Analysis, and Retrieval (EDGAR) system. The server acts as a middleware, allowing AI-driven applications and agents to query, retrieve, and analyze financial filings such as 10-K, 10-Q, 8-K, and other regulatory documents. SEC EDGAR MCP is tailored for data scientists, developers, and researchers who need structured and reliable access to official SEC data for compliance, analysis, or automation purposes. Its open-source nature ensures flexibility, transparency, and extensibility, making it suitable for integration into diverse financial and regulatory technology stacks.
Capabilities
What we can do with SEC EDGAR MCP
SEC EDGAR MCP enables users to connect AI models and applications with the extensive dataset of SEC EDGAR filings, supporting programmatic queries, document retrieval, and data analysis. These capabilities empower organizations and individuals to leverage regulatory data for compliance, research, and advanced automation.
- Automate Data Extraction
- AI agents and scripts can automatically extract structured data from SEC filings for downstream analysis.
- Compliance Monitoring
- Set up compliance workflows that track and alert on specific SEC filings or events.
- Financial Analysis
- Power financial analytics platforms with real-time access to company disclosures and reports.
- Research and Due Diligence
- Facilitate deep-dive research on companies, industries, or market trends using official SEC data.
- Integration with AI Agents
- Seamlessly connect AI-driven assistants and tools to authoritative financial documents for enhanced decision-making.
How AI Agents Benefit from SEC EDGAR MCP
AI agents can leverage SEC EDGAR MCP to access and process high-quality, official regulatory data directly from the SEC EDGAR system. By integrating with this MCP server, AI models gain real-time, structured access to a vast repository of company filings, supporting advanced automation, due diligence, risk analysis, and compliance monitoring. This enables AI agents to deliver more reliable insights, streamline workflows, and enhance the accuracy of financial and regulatory applications.