EDGAR Answers MCP server

<!-- mcp-name: io.github.aion-autonomous-org/edgar-answers-mcp -->

EDGAR Answers — SEC filings for AI agents

Give your agent answers from SEC EDGAR, not raw API responses.

This repository holds the documentation and registry manifest for a hosted

MCP server. There is nothing to install or run: connect to the endpoint below

from any MCP client. The server itself is operated as a managed service.

Every US public company files its financials with the SEC, for free, in XBRL. The catch is that "free and public" is not the same as "usable": companies tag the same line item a dozen different ways, annual and quarterly figures live in the same stream, restatements silently overwrite history, and Form 4 insider filings arrive as raw XML. Existing EDGAR MCP servers hand your agent that mess and wish it luck.

This server does the parsing first. Your agent asks for revenue; it gets revenue.

Tools

get_financials — normalized annual statements

Multi-year income statement, balance sheet, and cash flow for any US-listed company, from a ticker or CIK.

get_financials(company: "AAPL", years: 4)
→ revenue, grossProfit, operatingIncome, netIncome, epsDiluted,
  operatingCashFlow, capex, totalAssets, totalLiabilities,
  stockholdersEquity, cashAndEquivalents, longTermDebt, sharesDiluted
  — one clean row per fiscal year

Behind that: an ordered tag-fallback chain per line item (filers disagree on which us-gaap tag means "revenue"), duration filtering so annual figures aren't contaminated by quarterly cumulatives, and restatement resolution to the most recently filed value. Unreported items come back null rather than guessed.

filing_diff — what changed year over year

filing_diff(company: "NVDA", section: "risk_factors")
→ paragraphs added and removed between the two most recent 10-Ks

The question an analyst actually asks — what did they start saying this year, and what did they quietly drop? — answered at paragraph level, with boilerplate that merely reflowed filtered out.

insider_activity — Form 4, parsed

insider_activity(company: "MSFT", filings: 10)
→ who, role, transaction type, shares, price, holdings after — tidy rows

Open-market buys separated from tax withholding and option exercises, so your agent doesn't mistake a scheduled vest for a conviction purchase.

filing_section — any section as clean text

filing_section(company: "TSLA", section: "risk_factors" | "mdna" | "business" | "1A")

Table-of-contents decoys are filtered out; you get the real section body.

search_filings — full-text search since 2001

search_filings(query: "\"supply chain disruption\"", forms: "10-K", startDate: "2025-01-01")

Connect

Streamable HTTP endpoint:

https://aion-org--edgar-answers-mcp.apify.actor/mcp

Authenticate with your Apify API token as a bearer token. In an MCP client config:

{
  "mcpServers": {
    "edgar-answers": {
      "url": "https://aion-org--edgar-answers-mcp.apify.actor/mcp",
      "headers": { "Authorization": "Bearer YOUR_APIFY_TOKEN" }
    }
  }
}

For clients that only speak stdio, bridge with npx mcp-remote --header "Authorization: Bearer YOURAPIFYTOKEN".

The server runs in standby mode: it scales to zero when idle and wakes on your first request, so the first call after a quiet period takes a few seconds.

Pricing

Pay per successful call — failed calls are not billed.

Data and compliance

Source data is SEC EDGAR — US government filings, public domain. Requests are made with a declared User-Agent and rate-limited well under the SEC's published ceiling, per their access guidelines. Nothing here is scraped from a site that prohibits it.

Limits, stated plainly

Shortened. The full README is on GitHub.