EDGAR (SEC Filings)
Research public issuers, crowdfunding raises, XBRL financials, and insider trades from SEC EDGAR without leaving your agent during competitive and fundraising due diligence.
Overview
EDGAR (SEC filings) is an MCP server for the Idea phase that brings SEC issuers, Reg CF/D/A raises, XBRL financials, and insider trades into your agent workflow.
What is this MCP server?
- Surfaces SEC EDGAR filings: issuers, Reg CF and Reg D/A raises, XBRL financials, insider transactions
- Stdio MCP via PyPI package mcpwright-edgar (version 0.1.1)
- Optional EDGAR_MCP_USER_AGENT with contact info per SEC fair-access guidance
- Keeps due-diligence queries inside the agent instead of manual EDGAR browsing
- Focused on filing retrieval and structured financial facts, not investment advice
- Server version 0.1.1; PyPI identifier mcpwright-edgar
- Coverage themes: issuers, Reg CF/D/A raises, XBRL financials, insider trades
- Stdio transport; EDGAR_MCP_USER_AGENT optional but recommended
What problem does it solve?
Competitive and fundraising research stalls when you manually hunt EDGAR for issuers, offering documents, and financial XBRL instead of asking your agent directly.
Who is it for?
Builders researching public competitors, crowdfunding benchmarks, or disclosure patterns while scoping a regulated or finance-adjacent product.
Skip if: Non-U.S. corporate registries, live trading execution, or teams that need a full compliance archival pipeline without an agent.
What do I get? / Deliverables
After registering edgar-mcp, you can query SEC filing context from chat and move faster from raw disclosures to positioning and scope decisions.
- Agent-grounded answers drawn from SEC EDGAR filings and related issuer data
- Faster identification of Reg CF/D/A raises and XBRL financial facts for memos
- Insider transaction context to inform competitive narratives
Recommended MCP Servers
Journey fit
Idea-phase competitor and landscape research is the natural first stop for SEC filing literacy before you build dashboards or automate alerts in later phases. Competitors subphase matches founders comparing public peers, recent Reg CF/D/A activity, and issuer fundamentals while shaping positioning.
How it compares
SEC EDGAR integration MCP—not U.S. Census demographics and not IRS ZIP income stats.
Common Questions / FAQ
Who is EDGAR (SEC Filings) for?
Solo builders and indie founders who use AI coding agents to study U.S. public and exempt-offering disclosures during competitor and market research.
When should I use EDGAR (SEC Filings)?
Use it in the Idea phase when you need issuer profiles, Reg CF or Reg D/A raise details, XBRL financial lines, or insider trade context for positioning.
How do I add EDGAR (SEC Filings) to my agent?
Install mcpwright-edgar from PyPI, optionally set EDGAR_MCP_USER_AGENT with your app name and email, register the stdio server in Claude Code or Cursor, then invoke EDGAR tools from the agent.