mcp-edgartools-lite

Resolves company identifiers (ticker symbols or Central Index Key numbers) to SEC EDGAR database records and retrieves metadata about the company including name, industry classification, and filing history. Uses the EDGAR REST API to perform lookups and aggregates company profile information from official SEC sources without requiring manual CIK translation.

Parses SEC 10-K filings (annual reports) and extracts specific sections like business description, risk factors, management discussion & analysis (MD&A), and financial statements using document structure parsing. Implements section-aware extraction that maps EDGAR HTML/text formatting to logical document sections, allowing targeted retrieval without downloading entire multi-hundred-page filings.

Extracts targeted sections from SEC 10-Q quarterly reports (unaudited interim financial statements and MD&A) using the same section-aware parsing as 10-K extraction but optimized for quarterly disclosure patterns. Handles condensed financial statements and interim MD&A that differ structurally from annual reports, enabling quarterly performance monitoring without full document review.

Parses SEC 8-K filings (current reports of material events) and extracts event type, date, and description using item-based parsing that maps SEC Item codes (Item 1.01 for bankruptcy, Item 5.02 for executive changes, etc.) to event categories. Enables rapid identification of material corporate events without reading full 8-K documents, supporting real-time monitoring of significant developments.

Extracts insider trading activity (Form 4 filings) including officer/director name, transaction type (purchase/sale), shares transacted, price, and date using SEC filing parsing. Aggregates insider transactions to surface trading patterns and identify significant insider buying or selling activity that may signal management confidence or concerns about company valuation.

Implements request batching and local caching of SEC EDGAR filings to reduce API calls and improve performance when analyzing multiple companies or historical filings. Uses MCP protocol to manage state across requests, storing recently accessed filings in memory and implementing intelligent cache invalidation based on SEC filing update frequency.

Correlates data across multiple SEC forms (10-K, 10-Q, 8-K, Form 4) for a single company to construct a timeline of business developments, financial changes, and insider activity. Implements temporal alignment and deduplication logic to surface relationships between events (e.g., linking executive departures from 8-K to compensation changes in proxy statements) and identify material developments that span multiple filings.

Provides a natural language query interface that translates user questions into targeted SEC filing searches and extractions. Uses LLM-based query understanding to map questions like 'What are the main risks?' to specific 10-K sections (Item 1A Risk Factors) and returns extracted content formatted as direct answers rather than raw filing text.

Monitors SEC filings for specific regulatory changes, disclosure updates, or material event types and generates alerts when filings match user-defined criteria. Implements pattern matching on filing content (e.g., 'bankruptcy' in 8-K Item 1.01, 'material weakness' in 10-K Item 9A) and temporal filtering to surface only new or changed disclosures rather than historical content.