"A guide to performing stock analysis" matching MCP servers:

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.

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.

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.

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.

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.

Enables AI agents to access and manage project guidelines, documentation, and context through a structured content system with template support and workflow management.

Enables querying real-time China A-share stock and major market index quotes by stock code or Chinese name, with automatic name resolution and dual free data sources.

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.

A Model Context Protocol (MCP) server for interacting with MongoDB stock data to provide portfolio recommendations and market insights, exclusively for the Indian stock market (NSE/BSE).

Enables local analysis of unstructured documents (PDF, DOCX, PPTX, SVG, PNG) by extracting text and structure with citation anchors, and verifies summaries against source material before a human approves saving a report.

AI-powered terrain analysis for any location on Earth. Uses super-resolution and computes environmental risk metrics including erosion, water flow, and a composite Site Intelligence Score.

Real-time A-share stock data for AI assistants. Provides real-time stock prices, K-line data, financial indicators, and sector fund flow analysis for Chinese A-share market. Multi-source data validation ensures accuracy.

Records and scores prospective equity earnings predictions made by AI agents, allowing comparison of different agent configurations.

An MCP server that transforms books into agent-callable skill packages, enabling AI agents to use books as guides for evidence, procedures, and tutoring.

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.

Enables querying options chains and estimating gamma exposure for ETFs and liquid underlyings, including proxy gamma calculations and historical gamma snapshots.

Provides comprehensive Taiwan stock market data and analysis through MCP tools. Enables querying real-time stock prices, historical data, company information, technical analysis, and market overviews for TWSE and TPEx listed companies.

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 semantic search capabilities over the Plesk Extensions Guide documentation using Retrieval-Augmented Generation (RAG) and vector embeddings. It enables AI assistants to retrieve relevant technical information and answer natural language queries regarding Plesk extension development.