"Resources and Tools for Financial Modeling" matching MCP servers:

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.

A Model Context Protocol (MCP) server that provides tools, resources, and prompts for financial analysis using the Financial Modeling Prep API.

Enables AI assistants to clean PDB structures and run initial-stage energy relaxation for biomolecular modeling. It provides a structured workflow for preparing structures before production molecular dynamics or coarse-graining pipelines.

An MCP server for financial analysis that provides real-time and historical stock prices via Alpha Vantage and company fundamentals via Financial Modeling Prep.

Provides access to Financial Modeling Prep's comprehensive financial data API, enabling real-time stock quotes, company fundamentals, financial statements, market insights, analyst data, and technical indicators directly in Claude Desktop.

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.

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.

Enables MCP clients to list research topics, route queries across money-market, capital-market, bank-risk, market-liquidity, and China-economy domains, and fetch read-only structured results from bounded public evidence without requiring an account or API key.

Provides AI assistants with real-time stock prices, financial statements, SEC filings, and analytical tools like DCF valuation and ratio analysis.

Enables persona-configurable financial research and answers questions about 24 US-listed companies across three sectors, grounded in a SQLite database via MCP tools.

An MCP server that integrates SEC EDGAR, FRED, and Polygon.io financial data with OAuth 2.1 security and a citation-grounded 10-K extractor powered by Claude Sonnet 4.5.

Provides 10 financial data tools (market data, economic indicators, news, insider trades, and calendars) via a single MCP layer, enabling any MCP-compatible LLM to access diverse financial data through a unified interface.

Enables querying Lithuanian financial regulation data, including regulations, enforcement actions, and requirements from the Bank of Lithuania, via MCP-compatible clients.

Provides real-time and historical financial market data from Yahoo Finance, including stock prices, options chains, and company news. It also enables technical analysis calculations like moving averages and RSI for comparing or analyzing stock performance.

An MCP server that provides tools and resources to access company financial filings, industry classifications, and related data via the Financial Reports API.

Enables AI models to access real-time financial market data including stock quotes, fundamentals, daily prices, symbol search, and market status via the Alpha Vantage API. Works with any MCP-compatible client like Claude Desktop for natural language interaction.

An MCP server that enables AI-powered fraud detection on financial transactions using rule-based and statistical analysis tools, with sample data and Gradio dashboard.

Provides backtesting-compliant financial data including company financials, historical stock and crypto prices, and news with sentiment analysis from financialdatasets.ai API.

Provides access to comprehensive financial data including income statements, balance sheets, cash flow statements, stock prices, company news, SEC filings, and cryptocurrency information with built-in financial ratio analysis.

An MCP server that provides comprehensive financial insights and analysis by leveraging real-time market data, news, and advanced analytics for stocks, options, financial statements, and economic indicators.