Secedgar MCP Server
未申請Query SEC EDGAR filings, XBRL financials, and company data through MCP. STDIO & Streamable HTTP.
インストール
docker run -e EDGAR_USER_AGENT="MyApp my@email.com" -p 3010:3010 secedgar-mcp-serverAI & MLの他のサーバー
ディレクトリ全体を見る未申請リスティング
このMCPサーバーはあなたのものですか？
このリスティングは公開情報から自動的にインデックスされました。申請することで、ページの編集、互換性の設定、成長ツールのアンロックができます。2分以内に完了します。
このサーバーを申請するセキュリティプロファイル
申請済みおよび認証済みのサーバーは毎週の静的スキャンを受け、コードが到達できる範囲（外部サービス、環境変数、シェルコマンド、エージェント設定フォルダ）と既知のアドバイザリを持つ依存関係が表示されます。このリスティングを申請すると利用できます。 セキュリティプロファイルの仕組み
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ドキュメントに記載されたツール (23)
プロジェクトのドキュメントに基づきます。サーバーのハンドシェイクは、各ツールの説明や動作を検証するものではありません。
caveats
surface a filer missing one or two calendar quarters, a concept that resolved to a retired XBRL tag for one company, period ends that differ inside one aligned period, and concepts whose unit differs across companies
item_distribution
counts every code across the scanned window before the filter, so a zero-hit filter comes back with the items that are present rather than a dead end
periods
bounds the inline matrix (1-12, default 4) and the window shrinks further when companies x concepts x periods is too large to return in one response; the full aligned series is always materialized as a df<id> dataframe for growth rates and spreads via secedgardataframequery
quarter
targets a reporting period ("2026-Q1"); omit it for the newest quarter whose 45-day filing deadline has passed. The applied quarter and its filing window are echoed back
related_tags
flags alternate-definition tags some filers use as their primary line (e.g. cash → restricted-cash-inclusive total, equity → NCI-inclusive total), so a whole-universe screen on the base tag isn't silently under-inclusive — query those separately
secedgar_company_search
Find companies and retrieve entity info with optional recent filings
secedgar_compare_companies
Compare named companies across several concepts, aligned on calendar periods
secedgar_dataframe_describe
List canvas dataframes with provenance, TTL, and schema
secedgar_dataframe_drop
Drop a canvas dataframe by name. Opt-in via EDGARDATAFRAMEDROPENABLED=true — off by default since TTL already handles cleanup
secedgar_dataframe_query
Run a single-statement SELECT across dataframes
secedgar_fetch_frames
Fetch SEC XBRL frames for one concept × one period across all reporting companies
secedgar_find_holders
Reverse 13F lookup — which institutional managers reported holding an issuer
secedgar_get_beneficial_owners
5%+ blockholders of an issuer, parsed from structured SCHEDULE 13D / 13G filings
secedgar_get_filing
Fetch a specific filing's metadata and document content
secedgar_get_financials
Get historical XBRL financial data for a company
secedgar_get_fund_holdings
ETF and mutual fund portfolio holdings from the quarterly NPORT-P report
secedgar_get_insider_transactions
Form 4 / 4-A insider transactions (buys, sells, grants, exercises) parsed from ownership XML
secedgar_get_institutional_holdings
13F-HR quarterly institutional holdings parsed from the information table
secedgar_get_material_events
8-K filings with item codes decoded and filterable — earnings, officer changes, non-reliance
secedgar_get_snapshot
One-call financial profile — the latest value of every supported concept, grouped by statement
secedgar_search_concepts
Discover supported XBRL concept names or reverse-lookup a raw tag
secedgar_search_filings
Search EDGAR filings since 1993 — full-text (2001+) plus archive-backed browse for pre-2001 ranges
total_holdings_in_filing
counts raw info-table rows; totalpositions counts distinct positions after consolidation (both before limit)