MCPs tagged with # financial analysis

Octagon MCP Server enables specialized, AI-powered financial research and analysis by integrating with the Octagon Market Intelligence API. It provides the ability to analyze public filings, earnings call transcripts, financial metrics, stock data, and private market transactions within Claude Desktop and other MCP-compatible clients. The server orchestrates multiple specialized agents for comprehensive market analysis and can aggregate, extract, and structure data from financial sources and public websites. Designed for seamless use in standardized Model Context Protocol environments, it supports rapid integration into advanced AI workflows.

• ⭐ 78
• MCP
• OctagonAI/octagon-mcp-server

Crypto-Pegmon-MCP is an MCP-compatible server that monitors stablecoin peg integrity across multiple blockchains. It provides AI agents with real-time and historical data on peg stability for 17 USD-pegged stablecoins. The server generates stability reports and presents data in Markdown format, facilitating easy integration into dashboards or automated agent workflows. Users can query supported coins, current prices, and analyze historical deviations to assess depegging risks.

• ⭐ 4
• MCP
• kukapay/crypto-pegmon-mcp

MCP BaoStock Server offers a stock data API service based on BaoStock, providing endpoints for retrieving diverse market information. It supports queries for stock basics, K-line historical data, industry classification, dividends, financial indicators, index data, and valuation metrics. Developed in Python, it is designed for easy integration and rapid access to comprehensive Chinese stock market data. The server enables detailed analysis and research with example test cases for each supported endpoint.

• ⭐ 56
• MCP
• HuggingAGI/mcp-baostock-server

investor-agent is an MCP server designed to deliver in-depth financial insights and market analysis to Large Language Models. It leverages real-time data sources and advanced analysis tools to provide information such as market movers, ticker data, options chains, historical prices, financial statements, ownership structure, and sentiment indices. The platform features robust caching and error handling for reliable and efficient data delivery while supporting extensible financial analytics with optional technical indicators and intraday data.

• ⭐ 286
• MCP
• ferdousbhai/investor-agent