MCP server

SEC Fundamentals API

com.multyplylabs/sec-fundamentals

Checked 26 Oct 2026, 08:29 UTC · Connected to it and listed its tools

SEC EDGAR financials, benchmarks, screening & Buffett value scans for agents. Pay x402 or API key.

Website

At a glance

Type

MCP server

Publisher

multyplylabs.com (verified by the MCP Registry)

Status

Working at last check

Tools

17

Token cost

About 6,459 tokens per request

Sets up in

Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok

Last checked

26 Oct 2026, 08:29 UTC

Connect it to your agent

Add to CursorAdd to VS CodeVS Code Insiders

Opens the app, which shows the server and asks you to confirm. For other apps, copy the setup below.

Claude Code

claude mcp add --transport http sec-fundamentals https://sec.multyplylabs.com/mcp

Claude Desktop

Settings → Connectors → Add custom connector, and paste the URL.

Codex (config.toml)

[mcp_servers.sec-fundamentals]
url = "https://sec.multyplylabs.com/mcp"

Gemini CLI

{"mcpServers":{"sec-fundamentals":{"httpUrl":"https://sec.multyplylabs.com/mcp"}}}

Cursor

{"mcpServers":{"sec-fundamentals":{"url":"https://sec.multyplylabs.com/mcp"}}}

VS Code

{"servers":{"sec-fundamentals":{"type":"http","url":"https://sec.multyplylabs.com/mcp"}}}

Antigravity

agy mcp add sec-fundamentals https://sec.multyplylabs.com/mcp

ChatGPT

Settings → Apps & Connectors → Advanced settings: turn on Developer mode, then Create a connector and paste the URL. Which plans can do this varies.

OpenAI API (Responses tools)

{"type":"mcp","server_label":"sec-fundamentals","server_url":"https://sec.multyplylabs.com/mcp","require_approval":"always"}

Grok (xAI API tools)

{"type":"mcp","server_label":"sec-fundamentals","server_url":"https://sec.multyplylabs.com/mcp"}

Tools

• buffett_scan ~648 tokens
  Rank US public companies by Quality Score (0-100) over a 10-year window from five components: return on invested capital (30 points, blended 60/40 with the company's industry percentile), durability through the cycle (20), cash conversion (20), balance-sheet strength (15) and capital discipline (15)
• buffett_value ~595 tokens
  Find high-quality US public companies trading below intrinsic value: the Quality Score (see buffett_scan) combined with a value score from the previous close (FCF yield, 10-year owner-earnings DCF margin of safety, P/E), ranked by combined_score, the mean of the two (0-100 each). Rows also carry mar
• company_facts ~374 tokens
  Raw normalized XBRL facts for one company as reported in its SEC filings, newest first: concept, value, unit, period_start and period_end, fiscal_year, fiscal_period, form, filed date and data-quality flags. Use it for individual reported values, quarterly figures or filing provenance; use company_f
• company_filings ~282 tokens
  SEC filing index for one company, newest first: form, filing date, report period, accession number, 8-K item codes and a direct sec.gov document_url. Use it to find or cite a specific 10-K, 10-Q, 8-K or Form 4; use company_facts or company_financials for the numbers in the filings. Cost: $0.005 per
• company_financials ~339 tokens
  Annual financial statements for one company, one row per fiscal year: income statement, balance sheet and cash flow lines plus ratios (gross_margin, operating_margin, roe, roa, fcf, debt_to_equity, ...). Use it for a known company's history; use company_facts for individual reported values and quart
• company_signal ~368 tokens
  Composite factor scorecard for one company: quality (Piotroski, Altman, accruals), value (owner-earnings DCF), insider conviction (Form 4 buying as bps of market cap), institutional positioning (13F) and short sentiment, each 0-100, plus a renormalized composite_score and coverage (the share of fact
• compare_to_peers ~231 tokens
  One company's metrics for a fiscal year next to its industry cohort: the percentiles of every metric for each revenue size bucket in its 2-digit SIC group. Use it to judge whether a company's margins, returns or leverage are above or below sector norms; use industry_aggregate for a cohort without a
• industry_aggregate ~402 tokens
  Benchmark percentiles (p10, p25, median, p75, p90, plus mean and company count n) for one financial metric, per fiscal year, 2-digit SIC industry group and revenue size bucket. Use it for questions like "what is the median gross margin of large software companies?"; use compare_to_peers to place one
• insider_activity ~243 tokens
  Insider (Form 4) transactions for one company over the trailing months, plus a summary: open-market buys vs sales, distinct buyers and net dollar value, with 10b5-1 plan flags. Cluster buying by officers and directors is a studied positive signal. Use company_signal for insider conviction scored alo
• institutional_ownership ~215 tokens
  13F institutional ownership snapshot for one company: number of holders, aggregate shares and value, and quarter-over-quarter change (accumulating vs trimming). 13F filings lag the quarter by up to 45 days and show long positions only. Use company_signal for institutional positioning scored alongsid
• list_insights ~106 tokens
  Catalog of the curated market-wide analyses: each one's name, path, description, parameters with defaults, and price. Call it before market_insight or standard_score to choose an analysis and its parameters. Free: no API key or payment needed.
• lookup_company ~252 tokens
  Find a company's SEC CIK from its ticker, CIK or name. Every company tool takes a cik, so call this first when you only have a ticker (AAPL) or a name (apple). Returns up to limit matches, best first (exact ticker, exact CIK, name prefix, name contains; within each, companies with tickers before oth
• market_insight ~818 tokens
  Curated analysis computed live across all US public companies, chosen by name: top_companies (rank by a metric, optionally within an industry), movers (largest change in a metric between fy_from and fy_to), sector_landscape (margin medians per industry), metric_trend (yearly sum, median or mean of a
• screen_companies ~305 tokens
  Screen US public companies for one fiscal year by financial criteria and return the matches with their name, tickers, industry and metrics, largest revenue first. Use it to discover companies; use company_financials for one known company's history and industry_aggregate for cohort benchmarks. Cost:
• short_pressure ~203 tokens
  Short-selling pressure for one company: the FINRA daily short-volume ratio (short volume / total volume) over about 20 trading days, a bearish-sentiment proxy. This is daily short-sale volume, not bi-monthly short interest. Use company_signal for short sentiment scored alongside other factors. Not i
• standard_score ~721 tokens
  Academic fundamental scores across US public companies, chosen by name: piotroski (F-Score 0-9, financial strength), altman_z (bankruptcy-risk zones), beneish_m (elevated M-Score: an accounting-quality screen, not evidence of manipulation), magic_formula (Greenblatt rank on earnings yield and return
• top_signals ~357 tokens
  Rank US public companies by composite factor score (quality, value, insider, institutional and short-sentiment factors, each 0-100), highest first, with each company's factor scores, coverage, and restatement and stale-fundamentals flags. Use company_signal for one company's full scorecard. RESEARCH

Browse

• Payments
• Invoicing and accounting
• Research papers
• Stocks and markets

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