"How to test a React app" 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。

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.

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.

Read-only Python MCP server for TA-Lib indicator discovery and computation.

MCP server demo by Banco D that shows a loan application interactive widget across six steps, demonstrating three levels of agent visibility (full, result-only, and hidden) per MCP Apps (SEP-1865). It enables users to simulate a loan request with plan selection, PIN authorization, and disbursement while controlling what the agent sees.

Enables MCP clients to read consented N26 account balances and transactions, including recurring charge summaries, through PSD2 account-information access without passwords, scraping, or payment capability.

Provides read-only access to App Store Connect analytics, sales, finance, and customer review data, with tools to fetch and parse reports from Apple's Analytics Reports API and other report endpoints.

Enables natural language interaction with your T-Invest brokerage account for portfolio analysis, dividend tracking, and optional trading with safety confirmations.

Institutional-grade zero-lookahead Technical Analysis scanner with quantitative confluence scoring & native Model Context Protocol (MCP) server for AI trading agents.

Connects Claude to Apple's App Store Connect API, letting you manage apps, builds, TestFlight beta groups and testers, customer reviews and replies, sales and finance reports, and team users through natural language. Write actions such as invites, beta review submissions, and review responses require confirmation before anything is sent.

Enables AI assistants to query a T-Bank (Tinkoff) investment account in read-only mode, covering accounts, portfolio and positions, operation history, instrument lookup, market data such as candles and order books, plus technical indicators, fundamentals, analyst consensus and dividend or bond coupon analytics through one-line tool calls. No tool can place trades, withdraw funds or change account settings, and a read-only API token is recommended.

A training MCP server that demonstrates how GitHub Copilot can securely access internal banking APIs, documentation, and architecture review prompts.

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

Enables interaction with the T-Invest (Tinkoff Investments) API to manage investment portfolios, access market analytics, and retrieve technical analysis data. It supports executing trading operations, including placing and canceling market or stop orders, with optional confirmation workflows.

ai-api-pricing-data MCP server

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.

Lets Claude interact with the App Store Connect API to manage apps, builds, version submissions, sales reports, and Game Center leaderboards and achievements.

Enables asking Claude how apps are performing by reading App Store Connect sales, RevenueCat subscriber data, and PostHog events, comparing recent windows against previous periods.

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.

Exposes the 个人管家 app's purchasing, expense, todo, project, budget, and analytics data as MCP tools so agents can read and manage records through the app's authenticated business APIs. Each installation logs in with its own account, stores credentials locally, and supports per-install revocation.

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 access to the Pan Card Verification API for validating Indian PAN card details. It provides a dedicated tool for performing PAN verification through a standardized MCP interface.

Enables bank identification number (BIN) lookups via the Bin Lookup Checker API. It allows users to retrieve information about card issuers, card types, and brands using a specific BIN.

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.

Enables querying S&P 500 constituent data from Supabase through MCP tools for company fundamentals, annual financial metrics, historical OHLCV price rows, news with sentiment filtering, executive officers and compensation, and SEC filing history. Ships a Next.js web app plus embedded MCP App UI resources, with elicitation-based disambiguation for ambiguous company names and sampling support.

Enables querying of company profiles, annual financial metrics, historical OHLCV price data, news with sentiment filtering, executive officers, and SEC filing history from Supabase, with elicitation-based disambiguation for ambiguous company names and embedded MCP App UI resources for browsing results.

Enables querying S&P 500 company data from Supabase through MCP tools covering company fundamentals and financials, historical price data, news with sentiment filtering, executive officers, and SEC filings. Ambiguous company names are resolved via elicitation, and embedded MCP App UI resources provide browsable, chart-ready views of the results.