"Boeing Financial Reports" matching MCP connectors:
GET /v1/connectors – MCP directory API referenceMatching Connector Tools:
SEC data layer for AI agents — financials, screening, every figure traceable to its filing.
Full-text financial reports (US, China, Japan, Korea, Taiwan) as clean Markdown for RAG agents.
Production MCP server for US equity and options intelligence: real-time IV radar, Monte Carlo simulation, options pressure, strategy backtesting, AI prediction, pre-trade risk analysis, and automated stock research reports.
Grounded financial research for agents: filings, transcripts, news across US and Asia markets.
Read-only public financial evidence from LiquiLens, Undertow, Seiche and Palimpsest.
Lender-grade real estate underwriting and deal reports: fix and flip, BRRRR, new construction.
AI staff accountant for QuickBooks: transactions, reports, receivables, payables, month-end close
Korean company disclosures in English: DART filings, financial statements, segments, 13F.
Same-day regulatory updates from financial regulators worldwide — banking, payments, digital assets and crypto From the EU, UK and US to emerging markets across Asia, Africa, the Middle East and Latin America: every circular, rule, consultation and guidance, captured the day it appears, translated to English, summarised, and linked to the regulator's original—on the site, by email, or inside your AI agent. Search free; full document with original file, lineage, full text, and English translation—$0.05.
Financial news for AI agents: search, trending, insider, earnings reads, macro, scored 1-10.
Deterministic company valuation and corporate finance tools for AI agents — IRR, NPV, MOIC, DCF, WACC, enterprise value, EV multiples, CAPM, beta and sensitivity analysis via Model Context Protocol. Useful for financial analysis, equity analysis, quantitative analysis, financial projections, financial formulas and financial modeling.
Deterministic liquidity and leverage ratio tools for AI agents — current, quick and cash ratios, defensive interval, debt-to-equity, debt-to-assets, equity multiplier and interest coverage via Model Context Protocol. Useful for corporate finance, credit analysis, financial analysis, financial formulas and financial modeling.
Deterministic profitability and market-value analysis tools for AI agents — margins, ROA, ROE, ROCE, ROIC, EPS, P/E, P/B, dividend yield and payout ratio via Model Context Protocol. Useful for corporate finance, equity analysis, financial analysis, quantitative analysis, financial formulas and financial modeling.
Deterministic time-value-of-money and fund-performance tools for AI agents — future value, present value, CAGR, annuities, perpetuities, loan payments, payback, discounted payback, DPI, RVPI and TVPI via Model Context Protocol. Useful for corporate finance, financial projections, financial analysis, quantitative analysis, financial formulas and financial modeling.
Deterministic operational-efficiency ratio tools for AI agents — asset, fixed-asset, inventory, receivables and payables turnover, days outstanding measures and cash conversion cycle via Model Context Protocol. Useful for corporate finance, financial analysis, working-capital analysis, financial formulas and financial modeling.
Primary-source SEC filing intelligence and financial/disclosure reconciliation for AI agents.
Realtime financial context for AI agents: what changed, who is affected, and what to watch next. One suite covering news, events, guidance, filing changes, sentiment, stakeholders, and alerts. Information-efficient responses with evidence for every result. First-class point-in-time safety for backtests. Pairs well with web search and a market-data API. All data is our own.
Unified financial infrastructure connecting AI agents directly to trade live/demo brokerage accounts, Web3 non-custodial wallets, real-time market data across equities, ETFs, crypto, forex, options, DeFi swaps, and prediction markets, institutional research feeds, and algorithmic strategy backtesters.
AgenticBooks is agent-native financial infrastructure. An agent can open an account, connect a user's payment and banking sources, and read back clean, reconciled accounting books over MCP. No human in the loop and free to start.
Your agent needs the two halves of a move at once — what people are posting about a ticker right now, and what the price and the news actually did. **What you can ask for** • "What is X saying about $NVDA today, and what did the stock do?" • "Show the chatter and the price move for these five tickers side by side." • "Which tickers are being talked about most right now?" • "Pull the news and the snapshot behind this spike." **How to use it** Point any MCP client at https://mcp.aisa.one/stock-pulse/mcp and sign in with OAuth — there is no key to create or paste. 4 tools: a combined stock-pulse call that joins X/Twitter chatter to the tickers mentioned, plus advanced tweet search, price snapshots and financial news. **Why this rather than the source** One call instead of four, with the join already done. **It is also a door to the rest** The same login reaches 26 sources and 580+ operations. Spot the move here, then ask the same agent for the filings or the fundamentals behind it — without adding a second server. **What it costs** Finding and inspecting an operation is free. Running one is billed per call at API prices, with no seat and no monthly minimum, and every call takes max_price_usd so an agent cannot overspend by accident. **Where else it reaches** https://mcp.aisa.one/finance/mcp for equities, crypto and prediction markets in one place.
