EdgarParser MCP
Pull source-backed SEC EDGAR financial filings and metrics through your agent while researching markets, competitors, or public comps.
Overview
Edgar MCP is an Idea-phase MCP server that delivers source-backed SEC EDGAR financial data from the EdgarParser API to your agent over stdio.
What is this MCP server?
- Stdio MCP server backed by hosted EdgarParser API (edgar-mcp v1.0.0)
- Source-backed SEC EDGAR financial data rather than hallucinated figures
- Requires EDGAR_API_KEY; optional EDGAR_API_URL and EDGAR_MCP_OUTPUT_DIR
- Can write large responses to files when output mode is file
- Published on PyPI with stdio transport for local agent hosts
- Version 1.0.0 on PyPI with stdio transport
- Default API host documented as https://www.edgarparser.com
- 3 environment variables in server schema (1 required secret key)
What problem does it solve?
You need real filing data for market research but bouncing between SEC EDGAR, spreadsheets, and chat invites errors and unsourced numbers.
Who is it for?
Founders and indie analysts doing competitor or public-company research who already use or will pay for EdgarParser API access.
Skip if: Builders with no need for SEC data, or teams that require on-prem EDGAR parsing without a hosted API key.
What do I get? / Deliverables
Your agent can fetch EdgarParser-backed financial disclosures in-session so research memos and build decisions cite actual filings.
- Agent queries returning EdgarParser-backed SEC financial data
- Optional file artifacts when using file output mode
- Research workflows that anchor numbers to EDGAR sources
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Journey fit
EDGAR data supports early diligence before you commit to a product direction, which maps to the Idea phase research shelf. Research is where founders validate narratives using public company disclosures, 10-K context, and filing-backed financial facts.
How it compares
SEC EDGAR financial data MCP connector, not a stock-trading bot or generic web scraper skill.
Common Questions / FAQ
Who is Edgar MCP for?
Solo builders and small teams researching public companies who want Claude Code or Cursor to query EdgarParser-backed EDGAR data with an API key.
When should I use Edgar MCP?
Use it during idea and validation research when you need filing-sourced financial facts for competitive analysis or market sizing narratives.
How do I add Edgar MCP to my agent?
Install edgar-mcp from PyPI, configure stdio MCP, set required EDGAR_API_KEY, and optionally EDGAR_API_URL or EDGAR_MCP_OUTPUT_DIR per the server schema.