"A search engine platform" matching MCP servers:

Enables clients to access 21 cloud-hosted financial tools via a token-authenticated forwarding layer that relays tool calls to the Silkj E-Investment skill gateway. Supports stdio, Streamable HTTP, and hosted deployment modes without embedding any financial algorithms locally.

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。

A local, fully vectorized computational engine for stock market analysis that enables AI to perform factor calculation, strategy backtesting, IC analysis, and GPU-based multi-dimensional visualization using local DuckDB data.

Give your AI agent the entire China A-share market: 55 datasets of prices, financials, capital flows, corporate events and futures/options, stored locally and queryable with read-only SQL. Built point-in-time with delisted stocks kept, so backtests don't lie — no account, no API key.

Enables AI agents and their users to retrieve scored news sentiment, narratives, historical readings, and cited sources for Bitcoin, gold, and oil, with tamper-evident, time-stamped data for trading decisions.

Exposes NetSuite saved search exports as a structured query interface for Claude, enabling file discovery, column inspection, filtering, aggregation, memo categorization, and anomaly detection.

Shumi is a mechanical trading intelligence platform designed for the crypto market. It combines market trends, funding data, user sentiment, and contract resolution into a single research workflow.

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.

Complete DeFi intelligence — Yield, Staking, Restaking, RWA, Perps, Gas Optimization & Contract Security. One answer, not raw data.

A review-only MCP server that provides tools for reviewing trade records against a live TradingView Desktop chart over Chrome DevTools Protocol on localhost.

让支持 MCP 的 AI 客户端直接调用票据识别能力，包括银行回单、对账单、增值税发票等解析。

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.

Enables AI agents to issue, void, query, and manage Taiwan e-invoices via 27 MCP tools, wrapping the Universal EC POS Web Service.

Enables MCP clients to run live web searches, fetch and navigate readable web pages, search images, capture PDF screenshots, and retrieve finance, weather, sports, and world-time data through a zero-configuration authenticated backend.

Publishes a spending-summary tool alongside an interactive HTML view, letting people click a category in the answer to fetch the individual expense records behind that total. Keeps calculations and their supporting evidence together in a single inspectable flow.

Provides real-time stock news search capabilities via Tavily API, allowing MCP clients to retrieve filtered and customized stock news with various search parameters.

A cross-platform integration server that enables interaction with the MetaTrader 4 trading platform for account management, market data retrieval, and order execution. It facilitates remote Expert Advisor development, compilation, and backtesting through an HTTP bridge and specialized MQL4 scripts.

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

Enables users to compute European option prices and sensitivity metrics, run Monte Carlo GBM simulations, calculate historical/parametric VaR/CVaR, evaluate bond duration and convexity, and interpolate Nelson-Siegel yield curves through MCP.