"QuickBooks - Accounting and Financial Software" matching MCP servers:

Provides access to the Reuters Business and Financial News API to retrieve articles, trending news, and market data. It enables searching and filtering financial content by date, author, category, and keywords.

A TypeScript MCP server for financial data aggregation that connects AI assistants to SEC EDGAR filings, XBRL statements, FRED economic indicators, and real-time market data.

MCP server to fetch Vietnamese corporate financial reports (balance sheet, income statement, cash flow) from cafef.vn using public API, no PDF or OCR needed.

Enables MCP clients to list research topics, route queries across money-market, capital-market, bank-risk, market-liquidity, and China-economy domains, and fetch read-only structured results from bounded public evidence without requiring an account or API key.

Enables persona-configurable financial research and answers questions about 24 US-listed companies across three sectors, grounded in a SQLite database via MCP tools.

Institutional Financial Intelligence MCP Server for Claude Desktop & AI Agents. Sub-second market data, technical indicators, SEC EDGAR 10-K parsing, and local SQLite backtesting.

Enables querying stock quotes and computing portfolio risk/return metrics such as Sharpe ratio, drawdown, volatility, and correlations, as well as historical summaries and asset comparisons.

Enables MCP clients to retrieve stock market and company financial data, including quotes, overviews, ratios, historical prices, income statements, and stock comparisons, via a set of tools.

Enables querying and analyzing XBRL financial data through natural language, using an API key for authentication.

Enables AI agents to query a verified directory of software developers in Solapur, India, including developer profiles, skills, scores, and rankings through structured resources and tools.

Provides professional-grade access to financial and economic data from Yahoo Finance and the Federal Reserve Economic Data (FRED). It enables users to perform comprehensive stock analysis, screen equities, and retrieve a wide range of macroeconomic indicators and historical data.

MCP server for answering questions about official statistics from a single publication URL, with tools to check query scope, retrieve overview, text, data files, and search.

Provides access to European company data and financial filings from multiple sources including GLEIF (1.6M+ EU companies), ESEF XBRL filings (FR, DK, GB, LT, UA), UK Companies House (5M+ companies), and curated major index lists (DAX40, FTSE100, SIX).

Provides comprehensive access to financial filings from 7,700+ Asian companies through Japan's EDINET and South Korea's DART systems, enabling search, retrieval, and analysis of financial statements, XBRL data, and dimensional breakdowns.

Provides financial stock analysis for U.S. public companies via SEC EDGAR APIs, offering tools to resolve companies, retrieve filings, calculate profitability metrics, compare periods, detect red flags, and get audit evidence, all without API keys.

One-call Australian health and welfare data plumbing via AIHW — cited responses for practical analysis, not a data broker.

Lets Claude answer currency questions using the European Central Bank's official daily euro reference rates via the Frankfurter API, converting amounts between roughly 30 major currencies, retrieving historical rates for a specific date, and summarizing rate movements over a date range. Every answer cites the exact publication date, and no API key or account is required.

Enables querying of Hong Kong government data on elderly community care services, such as waiting times and applicant counts.

Enables answering US economic questions by searching, fetching, and comparing FRED data series through a supervised multi-agent workflow with built-in safety and cost controls.

Enables AI agents to query US public company financial data from SEC filings, with tools for resolving tickers, listing filings, retrieving financial concepts, comparing companies, extracting filing sections, and full-text search. It surfaces data ambiguities like tag variations, restatements, and fiscal-year misalignment rather than hiding them.