Real SEC, 13F, insider, congress & macro data your AI agent can cite. 24 tools — institutional 13F holdings (85M+ rows), insider & congress trades, spot-Bitcoin-ETF ownership, company financials, and Treasury/Fed/BLS macro series. Every answer traces back to the original SEC filing. Free tier: 200 calls/day.
TickDB-MCP is a Python MCP server implementation that connects AI assistants to real-time and historical market data via the Model Context Protocol (MCP) and the TickDB Unified Market Data API. Covers Forex/FX · Precious Metals · Indices · US Stocks (NASDAQ/NYSE) · HK Stocks · A-shares/CN Stocks · Cryptocurrency through 13 MCP tools backed by a REST API.
When you need company fundamentals (earnings, P/E, analyst targets, peer comparisons) rather than just price quotes. Feeds straight from Yahoo Finance. Best paired with the broader Finance MCP for portfolio math, or used standalone for equity-research workflows.
Forecast + analytics market data for AI agents: financial forecasts (revenue/net income/EPS), fundamental screening, historical market cap across 70+ exchanges and 100k+ tickers. OAuth 2.1 or API token.
Real-time Korean stock market intelligence for AI agents. Access company fundamentals, stock history, financials, news, dividend schedules, and risk assessments for all KRX-listed stocks. Pay-per-query via x402 micropayments using USDC on Base Mainnet.
Get stock quotes, prices, and financial data via Google Finance. No API key required. Data via SerpAPI; Smithery is not affiliated with Google.
A comprehensive MCP server delivering real-time and historical market data across stocks, ETFs, indices, forex, crypto, commodities, and derivatives. Beyond raw prices, it exposes tools for querying global financial statements, insider trading and ownership logs, institutional holdings, valuation and risk ratios, ESG metrics, and corporate actions. It also includes macroeconomic indicators and event calendars (economic releases, earnings, dividends, splits), enabling agents to run end-to-end workflows—from market screening to corporate and cross-asset analysis—backed by consistent, queryable datasets. Usage examples: Alpha Analysis "Check NVIDIA’s TTM performance against the S&P 500 and calculate the alpha generated." Profitability Comparison "Compare the net income growth and profit margins of AAPL and MSFT for the current fiscal year." Historical Valuation "Assess if Eli Lilly is undervalued by comparing its current P/E ratio to its five-year historical average." For more detail
Search the web and our index of authoritative data spanning finance, sports, weather, macroeconomics and more for data, visualizations and answers
Stock market price API for AI agents. Real-time quotes: current price, daily change %, volume, market cap, and company name. All major US exchanges (NYSE, NASDAQ) and international markets. Tools: financegetstockprice. Use this for portfolio monitoring, market analysis, financial research, or building trading dashboards. IMPORTANT: For crypto prices, use financegettokenprice instead. Returns: {price, change, volume, marketCap, name}. No API key required — x402 micropayment $0.002/call on Base L2.
Quick market data for AI workflows: real-time quotes, crypto prices, foreign exchange rates, portfolio P&L calculations. Wraps Yahoo Finance, CoinGecko, and FinViz behind a single tool surface. Use for trading copilots, financial planning chats, or end-of-day reporting agents.
US/HK markets — 133 tools: quotes, options, orders, fundamentals, IPO, alerts, DCA & portfolio
Provide access to Chinese stock market data including historical prices, real-time data, news, and financial statements. Retrieve comprehensive financial information for stocks with flexible parameters. Enhance your financial analysis and decision-making with up-to-date market insights.
I built an MCP server/connector to fetch financial data for all listed stocks on NSE and BSE. It can pull things like QoQ profit/revenue growth for any stock, price trends, promoter holdings, institutional investors, new company declarations, and more. I’ve also built 25 tools within the MCP to support different financial-data use cases. Today, if you ask Claude for personal finance or stock-related advice, it usually relies on web searches or stale training data. The reasoning might still be sound, but the underlying data sources can be outdated or unreliable. With this MCP/connector, Claude can use a more reliable source of truth for financial data, which should help: Improve the quality of results Reduce the token usage spent on web searches
Access comprehensive market data to research stocks, companies, indexes, ETFs, crypto, forex, and macroeconomics. Retrieve real-time quotes, financial statements, ratios, technical indicators, news, SEC filings, earnings, and calendars to power analyses and reports. Load only the data categories you need for faster, streamlined workflows.
Read-only MCP server providing access to Belarusian securities data: tokens, shares, bonds, companies, ticker search, and company name or UNP search.
Token-optimized US financial data for AI agents. Fetches SEC EDGAR XBRL filings, Form 4 insider trading, and BLS economic indicators — compressed from 50,000+ token raw filings into ~800 token structured responses. 99% token reduction saves real money on LLM costs. Three tools: getfinancialsummary — Revenue, net income, assets, EPS for any US public company (3 years of history) getinsidertrading — Form 4 buy/sell transactions with sentiment analysis geteconomicindicators — CPI, unemployment, wages, labor participation from BLS All data sourced from public-domain government APIs (SEC EDGAR, Bureau of Labor Statistics). No API key required to start — 10 free calls per quarter, $0.05/call after.
Helium Financial is a premium micro-service from the M2MCent factory, configured as a Model Context Protocol (MCP) server. Functionality: Financial oracle (Yahoo Finance Aggregator). This node features autonomous, secure cryptographic settlement secured by an x402 micro-payment wall on the Base L2 network. Service fee: $0.10 USDC per tool execution.
Official MCP server for the Sugra API: one connector for 1,500+ data endpoints across 36 domains (markets, macroeconomics, company fundamentals, government data, news, climate, maritime, trade, entity screening), backed by 160+ primary sources - mostly sovereign statistics agencies, central banks, and intergovernmental bodies. Hosted at app.sugra.ai/mcp (Streamable HTTP). Catalog search and describe run against a bundled endpoint catalog; data calls hit the API. Source attribution and freshness on every result; structured errors instead of silent failures. Free tier: 50 requests/day. MIT package: pip install sugra-api-mcp. Docs and keys: https://sugra.ai
Give your AI cited financial data. This is a Model Context Protocol server for the Akyla Financial Data API: as-reported US-equity fundamentals sourced straight from SEC inline-XBRL filings, plus live quotes, full financial statements, valuation comps, and a screener over ~5k US stocks.
Korean market data for AI agents and e-commerce sellers sourcing from Korea — K-beauty/K-food/K-pop product search, Naver search trends, Korean stocks with English DART disclosure summaries, apartment transactions, tourism, and weather. English JSON. 13 tools. Free pilot: preview works without any key; self-serve free keys at https://kdata-gate.vercel.app
