"A tool for analyzing Indian stock data for investment decisions using LLMs and news insights" matching MCP servers:

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.

A small MCP server exposing investment-data tools (search_companies, get_company) over a synthetic firmographic dataset, enabling natural language queries for company information.

Provides comprehensive financial data and insights for companies listed on BSE and NSE, including real-time stock prices, historical data, market news, top gainers/losers, and stock recommendations for the Indian stock market.

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.

MCP server providing real-time Indian stock market data through 15 tools, including stock details, historical data, market overview, and news. Works with Claude Desktop, Claude Code, Cursor, Windsurf, and other MCP clients using an API key from IndianAPI.in.

Provides comprehensive financial data and insights for stocks listed on BSE and NSE, including stock details, historical data, news, IPOs, and mutual funds.

A production-grade MCP server that provides tools to fetch historical stock data, company information, and technical indicators (SMA, EMA, RSI, MACD, Bollinger Bands) via yfinance, and includes a Flask web dashboard for visual analysis.

MCP server exposing 43 financial data tools for A-share, HK, US stocks, crypto, and market news via open-stock-data.

Enables AI assistants to perform deep Indian stock research with fundamentals, forensic scores, DCF valuation, screening, and news for 6000+ NSE/BSE stocks.

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

Public MCP server for Indian stock market analysis covering Nifty 500 stocks with 12 tools (quotes, technical indicators, patterns, screening) across daily, 15-minute, and 5-minute timeframes.

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

Provides a suite of MCP tools for evidence-grounded investment research, including time-bounded search of reports and news, thesis verification against subsequent events, market response calculations, and generation of validated research briefs.

Provides comprehensive data for A-shares, Hong Kong, and US stocks alongside cryptocurrency markets, supporting technical indicators, news, and financial statements. It features automatic failover across multiple data sources to ensure reliable access to real-time and historical market information.

Enables unified read-only portfolio viewing across Indian brokers (Groww, Zerodha, INDmoney) using browser automation, without paid API subscriptions.

MCP server for scraping Indonesian stock market news from multiple sources.

A collection of small MCP servers for macOS automation that expose Apple Mail, MoneyMoney, and Spotlight functionality as tools via AppleScript and command-line, enabling AI applications to search mail, manage contacts and transactions, and perform system-wide file searches through natural language.

A fast, safe MCP server for YNAB providing read-only budget access by default, with 28 tools for budgets, transactions, categories, payees, accounts, scheduled transactions, and server-computed analytics.

Enables read-only access to personal financial data and safe, audited classification-rule management via Claude Desktop.

Provides real-time Korean stock market data, including stock prices, rankings, investor trends, and derivatives, via the Korea Investment & Securities OpenAPI. Enables AI models to query and analyze Korean financial data through natural language.