"Using a search engine to find evidence to answer a question" matching MCP servers:

Enables MCP clients like Claude to query Chinese A-share market data, including K-line charts with forward/backward adjustment, limit-up and limit-down pools, per-stock fund flows, index quotes, and stock news, with automatic symbol normalization and retry handling for throttled data sources.

Provides A-share (Chinese stock market) quantitative analysis through tools for stock screening, northbound capital flow tracking, dragon-tiger list analysis, margin trading, sector analysis, technical indicators, IPO info, and limit-up/down statistics using akshare data.

提供A股实时行情、历史K线、财务报表、技术指标等全方位数据查询的MCP服务器，支持盘中即时更新及批量查询。

Local MCP server for A-share stock trading via Tonghuashun, offering account/position queries, buy/sell/cancel orders with risk controls and forced user confirmation; currently simulated with a reserved interface for real broker channels.

A Model Context Protocol server providing tools for querying A-share stock market data, including historical prices, financial reports, market indices, and macroeconomic indicators.

Provides 11 composable MCP tools for A-share market research, covering quotes, news, technical signals, sector performance, portfolio risk, backtesting, and paper trading, with traceable data sources and calculation basis.

MCP server providing 29 A-share analysis skills including real-time data, capital flow, limit-up tracking, technical/fundamental analysis, backtesting, risk control, and Xueqiu portfolio tracking, enabling AI agents to execute market research and strategy tasks.

Provides comprehensive A-share (Chinese stock market) data including stock information, historical prices, financial reports, macroeconomic indicators, technical analysis, and valuation metrics through the free Baostock data source.

MCP server adapter that exposes A-share stock data tools, prompts, and resources via FastMCP, enabling querying of stocks, K-lines, financials, sectors, and market hot spots through natural language.

Enables checking AI-drafted answers to US retirement-account questions, flagging wrong facts, personal recommendations, and promissory claims with IRS or FINRA sources before they reach customers.

基于Model Context Protocol (MCP) 的A股实时行情查询服务器，支持查询A股实时价格、历史K线数据、财务信息及市场概况。

Read-only MCP research router for money markets, capital markets, bank risk, market liquidity, China economics, GIFT City, forex and gold. List topics, resolve fixed public sources, then fetch bounded evidence packets with source URLs, retrieval receipts and explicit missing-data states. No account or API key. Transport success does not verify evidence or authorize trades.

Enables users to query Chinese A-share stock data, including stock basics, historical prices, financial reports, and macroeconomic indicators.

A personal finance and business economics MCP server that provides math-backed answers to financial questions, including investment growth, loan amortization, debt payoff strategies, and tax estimation, all computed locally without API keys or network calls.

Compiles ISO 20022 readiness findings, remediation diffs, and simulated bank responses into sealed, tamper-evident audit evidence packs with Ed25519 signing and verification.

Provides free Chinese A-share stock data including real-time quotes, historical K-lines, market scanning, and multi-factor stock screening via BaoStock and Sina Finance APIs.

Enables users to query IPVA (vehicle property tax) data from the official SEFAZ TO source via a read-only MCP tool.

Read one exact U.S. federal grant opportunity next to its official record with seven MCP tools for cited documents, requirements, amendments, hard gates, award history, and unresolved evidence. Independent UtilityHouse product; limited free beta.

AI-powered expense tracking MCP server that connects LLM clients to PostgreSQL for natural language expense management.

Enables AI agents to access ranked economic opportunities and AI-voice pricing intelligence, including falsifiable experiment design, monetization paths, success/kill criteria, and margin calculations grounded in public evidence.