MCP Server: SEC EDGAR (US Public Companies + 10-K, insider)
Pricing
$10.00 / 1,000 tool calls
MCP Server: SEC EDGAR (US Public Companies + 10-K, insider)
Apify MCP server for AI agents: 6 tools to query SEC EDGAR. Search companies, get filings (10-K, 10-Q, 8-K, Form 4 insider), XBRL financials, full-text search. 10K+ public companies, free official data. $0.01/call.
Pricing
$10.00 / 1,000 tool calls
Rating
0.0
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Developer
dltik
Maintained by CommunityActor stats
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2
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1
Monthly active users
17 days ago
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SEC EDGAR MCP Server — US Public Companies API for AI Agents (10-K, 10-Q, 8-K, Form 4)
Apify-hosted SEC EDGAR MCP server giving AI agents instant access to 10,000+ US public companies — every 10-K, 10-Q, 8-K, Form 4 (insider trading), proxy statement, and XBRL financial fact since 1993. Backed by the free official
data.sec.govAPI. No API key, no rate limit headaches. $0.01 per tool call.
⭐ Bookmark this SEC EDGAR MCP Server — Apify ranks actors by bookmarks, so it directly helps the visibility of this server on the Apify Store.
What is the SEC EDGAR MCP Server?
The SEC EDGAR MCP Server is an Apify actor implementing the Model Context Protocol for the US Securities and Exchange Commission's EDGAR database. It exposes 7 tools your AI agent can call to search public companies, pull recent filings (10-K annual, 10-Q quarterly, 8-K events), retrieve XBRL financial facts, and track insider trading via Form 4. Use it standalone via the Apify API, or wire it into Claude Desktop, Cursor, or Continue.dev as an MCP server.
Every public company filing is free official data — this MCP server just makes it agent-ready.
Use cases
- Equity research agents — let your AI pull 5 years of revenue/profit/cash from XBRL facts in one call.
- Insider trading monitors — Form 4 filings on demand, by ticker.
- M&A intelligence bots — full-text search across 8-K filings to spot mergers, exec changes, material events.
- Compliance copilots — verify a company's SEC filings status before onboarding.
- Investment due diligence — pull the latest 10-K, parse risk factors, summarize.
Tools available
| Tool | What it returns |
|---|---|
search_companies(query, limit) | Companies matching name or ticker |
get_company(cik_or_ticker) | Full company profile (CIK, SIC, filings count) |
recent_filings(cik, form_type, limit) | Most recent filings (10-K, 10-Q, 8-K, etc.) |
get_company_facts(cik) | XBRL financial facts — Revenue, Net Income, Assets, etc. |
insider_trading(cik, limit) | Form 4 insider transactions |
search_filings(query, form_type, limit) | Full-text search across all SEC filings |
list_tools | Free — schema discovery |
Input
{"mode": "call_tool","tool_name": "get_company_facts","arguments": { "cik_or_ticker": "TSLA" }}
Output
{"cik": "0001318605","ticker": "TSLA","name": "Tesla, Inc.","facts": {"Revenues": [{"period": "2024-12-31", "value": 97690000000, "unit": "USD"}],"NetIncomeLoss": [{"period": "2024-12-31", "value": 7130000000, "unit": "USD"}]},"filings_url": "https://www.sec.gov/cgi-bin/browse-edgar?action=getcompany&CIK=0001318605"}
Pricing
PAY_PER_EVENT — $0.01 per tool call (= $10 per 1,000). The list_tools discovery call is free. Errors are not charged.
FAQ — SEC EDGAR API for AI
Why use this MCP server vs scraping sec.gov? SEC EDGAR has an undocumented but stable JSON API at data.sec.gov. This actor wraps it cleanly, handles SEC's mandatory User-Agent rule, retries 429s, normalizes XBRL facts. Your agent gets clean records, not raw HTML.
Does this cover non-US filings? No — SEC EDGAR is US-only. For French companies see Pappers MCP Server. For French court / M&A data see BODACC MCP Server.
Can my AI agent run multi-step research with this? Yes — that's the point of MCP. An agent can chain search_companies → recent_filings → get_company_facts autonomously.
⭐ Found this useful? Bookmark this SEC EDGAR MCP Server — it's the strongest signal for Apify Store ranking.
Related actors
- Pappers MCP Server — same pattern for 26M French companies
- BODACC MCP Server — French M&A and distress signals
- HackerNews MCP Server — same MCP pattern for tech/news
License: MIT · Author: dltik