"Resources for Analyzing Stock Market Trends" matching MCP servers:

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.

Web scraper and token compressor that converts HTML to clean markdown with 70-80% fewer tokens. Single-page compression and multi-page BFS crawling with auto-fallback fetch modes.

MCP server that demonstrates the Resources feature by exposing static and dynamic resources, including contact data and personalized greetings, through MCP.

Local MCP adapter for public Stock Trends API resources, enabling credential-free access to public resources and a workflow cost estimation tool. It does not generate investment advice; it only translates published API responses for MCP clients.

Enables Claude to read Moscow Exchange market data and T-Invest brokerage account data, including quotes, candles, order books, dividends, portfolio, and operations. It is read-only and does not place orders.

MCP server providing agricultural market intelligence tools (price, margin, trend, report generation) that can be used by any MCP client to answer multi-step queries about commodity markets.

85 tools for Taiwan + US stock-market analysis — quotes, three major institutional flows, chip data, fundamentals, technical indicators, backtesting, risk metrics. Requires the Stock Analyzer desktop app running locally on port 3000.

Provides natural language access to over 100 years of historical market index data, including S\&P 500, NASDAQ 100, and Nikkei 225. It enables users to query price ranges, compare symbol performance, and analyze historical market trends directly within Claude.

Enables AI agents to conduct local, auditable opportunity discovery by collecting public discussions, tracing claims to exact quotes and source provenance, testing claims with counterevidence, and exporting deterministic evidence packs.

Enables read-only auditing of product, lot, location, and stock-movement history in Tryton 6.x, transforming natural-language questions into structured investigations with movement states, lots, shipments, locations, and diagnostic balances.

Provides read-only access to Chinese A-share stock market data such as quotes, K-lines, financials, capital flows, news, and research reports via a stdio MCP server for DeepSeek Harness and other MCP clients.

Enables querying Albion Online market data to find profitable refining opportunities by analyzing prices, recipes, resource return rates, and taxes. Provides deterministic profit calculations and explains trade-offs through natural language.

Provides deterministic A-share market snapshots and immutable strategy versions for short-term review, exposing verified daily reports via MCP without order or account management.

Enables comprehensive stock market analysis with portfolio management, technical indicators, dividend tracking, sector analysis, risk metrics, and price alerts. Provides real-time stock data, trend analysis, and investment insights through natural language interactions.

Provides tools for stock data retrieval, historical analysis, and market comparison using yfinance. It features robust guardrails to ensure secure interactions and blocks restricted content like investment advice.

Enables agents to access live crypto market data and execute risk-controlled paper trades through standardized MCP tool calls.

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 fashion vertical MCP server providing tools for product SEO audits and trend analysis to integrate with AI agents like Claude, Cursor, and Codex.

A demo MCP server implementation that provides a single stock search tool which returns a rude message when queried. Primarily serves as a simple example of the Model Context Protocol.

Enables comparing and recommending AI models based on scenario-specific criteria such as capability, context, relative cost, and self-hosting, with explanations of the scoring weights.