"TradingView - Stock Charts and Financial Analysis Platform" matching MCP servers:

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.

Self-hostable, read-only Taiwan stock-analysis MCP server that retrieves market data and computes reproducible indicators.

Enables analysis of Indian stocks listed on BSE/NSE through real-time quotes, fundamentals, historical data, stock discovery, market overview, and news integration.

Enables Claude to retrieve real-time financial data, extract ESG risk metrics for S&P 500 companies, and generate automated analytical visualizations through three integrated MCP tools.

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.

Offers real-time stock prices, sector and historical analysis, top performers for NSE and global markets, plus stock-specific and general market news with intelligent caching and fallback data.

Provides actionable financial intelligence tools for AI agents including insider buying signals, earnings IV plays, market pulse, stock analysis, and options strategies via free public data sources.

Enables MCP-capable agents to profile datasets and render CSV/TSV/TXT/JSON data into standalone interactive ECharts HTML charts fully offline, returning the HTML artifact plus rendering statistics in the same response.

A modern Python MCP server for rendering customizable charts (line, bar, pie, scatter, area, combined dashboards) with Plotly, supporting export to PNG, SVG, and base64, and terminal charts with ANSI output.

Enables LLMs to retrieve, analyze, and visualize stock prices and financial report data for quantitative trading research and investment analysis. Provides real-time and historical stock data, financial statement analysis, key metric calculations, and trading signal visualization.

Provides real-time stock data and AI-powered analysis for A-shares, Hong Kong stocks, and US stocks. Features sentiment analysis of financial news, deep research reports, and comprehensive market data through multiple integrated data sources.

Provides real-time A-share (Chinese stock market) data through AKShare integration, enabling access to market overviews, company information, real-time quotes, and historical price data for Shanghai and Shenzhen stock exchanges.

Provides access to Chinese mainland financial data including A-stock quotes, financial statements, industry analysis, and macroeconomics through 42 MCP tools, with automatic data source fallback and no API key required.

Enables natural-language stock comparison queries that produce PNG charts and financial metrics such as returns, volatility, and drawdowns via MCP tools.

Provides derived financial intelligence for AI agents, including insider activity analysis, earnings surprises, institutional moves, stock screening with a proprietary composite value score, and macro indicators.

Provides AI assistants with real-time and historical Chinese stock, ETF, index, and futures data via Tushare Pro API, enabling natural language queries for financial analysis and market monitoring.

An MCP server that exposes DSA's 问股 (Agent Chat / ask-stock) capability as a cross-client tool, allowing users to ask natural-language stock questions and list available strategy skills.

Enables querying sales data, identifying out-of-stock products, viewing top sellers, and receiving restock suggestions through natural language.

Provides real-time stock prices, sector analysis, historical data, and top performers for Indian NSE and global markets. Also includes stock-specific and market news from multiple sources with intelligent caching.

Provides MCP tools that let AI agents retrieve stock price data, validate data quality, analyze chart trends and volatility, and fetch news sentiment, enabling structured financial analysis workflows.