MCP servercom.toolfeeds/sec-edgar-mcp

Resolves an exchange ticker to its SEC filer and returns that filer's reference data in one call: the zero-padded ten-digit CIK that identifies it in EDGAR, its official registrant

Compares one normalized metric across several filers in a single call, with reporting periods aligned so companies whose fiscal calendars end in different months still line up peri

The reported time series for a single normalized metric from one company's XBRL facts — every revenue, net_income or assets observation the filer has published, each with its value

The normalized financial statement view for one company across recent fiscal periods: revenue, gross profit, operating income, research and development, net income, diluted earning

Everything the corpus holds about one person, identified by the owner CIK the SEC assigns them: every name spelling they have filed under, every issuer and role they hold or have h

Every Form 3, 4 and 5 row filed against one company — identified by ticker — by its directors, officers and ten-percent owners, newest transaction first. Returns transaction rows,

The most recently filed Form 3, 4 and 5 rows in the corpus, across every issuer and every insider, newest filing first, capped at a small fixed number the response states. It takes

Recent EDGAR filing history for one company, newest first: form type (10-K, 10-Q, 8-K, S-1 and the rest), filing date, the period end the document reports on, its accession number

Publishes the canonical metric vocabulary this server normalizes SEC XBRL facts into: for each metric its key (revenue, net_income, assets, operating_cash_flow, ...), a human label

Publishes the vocabulary every insider answer is written in: the three SEC ownership form types — Form 3, the initial statement filed when somebody becomes an insider; Form 4, the

Insider transactions from every issuer at once, filtered by date range, transaction code, direction, minimum stated value, the role the filer holds and Rule 10b5-1 status. Returns

The same filters as screen_insider_transactions, aggregated the other way: one row per person, ranked by the cash they realized from open-market sales inside the window. This is th