"A guide to backtesting for financial analysis and strategy development" matching MCP servers:

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

Daily Bitcoin/crypto cycle scoring, on-chain indicators, strategy insights, on-demand backtests. Bearer + x402 pay-per-call

Enables Claude to retrieve real-time financial data, extract ESG risk metrics for S&P 500 companies, and generate automated analytical visualizations through three integrated MCP tools.

An MCP server that connects to running Node.js applications via the Chrome Debug Protocol to analyze Mnemonica type hierarchies at runtime. It enables users to validate and improve static analysis by comparing runtime types with Tactica-generated types.

Provides deterministic strategic-planning frameworks as a local MCP server, offering tools like SWOT analysis, marketing mix, lean canvas, and decision matrix without requiring API keys, working offline.

Provides access to the Reuters Business and Financial News API to retrieve articles, trending news, and market data. It enables searching and filtering financial content by date, author, category, and keywords.

Provides 11 composable MCP tools for A-share market research, covering quotes, news, technical signals, sector performance, portfolio risk, backtesting, and paper trading, with traceable data sources and calculation basis.

An MCP server offering six strategies to filter and analyze Chinese convertible bonds, including dual-low, triple-low, YTM ranking, redemption monitoring, and revision analysis.

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.

Enables Claude to read Crusader Kings III save files and retrieve strategic game information such as realm overview, military, succession, diplomacy, vassals, factions, and expansion options.

Enables rules-aware Fantasy Premier League decision-making by evaluating your squad, transfer options, chips, and signals to return legal hold, transfer, and chip recommendations with reasoning, risk, and outlook.

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

A beginner-friendly Model Context Protocol (MCP) server that helps users understand MCP concepts, provides interactive examples, and lists available MCP servers. This server is designed to be a helpful companion for developers working with MCP. Also comes with a huge list of servers you can install.

Provides access to clean code guide documents and enables code quality inspection of external project files based on coding standards and best practices.

MCP server for Next2D application development that generates code following MVVM + Clean Architecture + Atomic Design patterns, validates architecture, and provides API references.

Institutional Financial Intelligence MCP Server for Claude Desktop & AI Agents. Sub-second market data, technical indicators, SEC EDGAR 10-K parsing, and local SQLite backtesting.

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.

Enables Fantasy Premier League squad management with custom tools for player search, fixture outlook, tier classification, hit math, and chip timing, all using public FPL data without requiring login credentials.

Enables users to preprocess, analyze, and visualize CSV data through comprehensive tools for data manipulation, statistical analysis, and graph generation.

An MCP server that provides access to a SQLite database for analyzing trading strategy backtest results and performance metrics. It enables AI assistants to identify robust strategies across different market regimes and compare them against benchmarks using risk-adjusted metrics.