"A tool for backtesting trading strategies on historical data and analyzing performance metrics" matching MCP servers:

Enables querying public vfat Metrics position data by EVM address, providing structured access to current positions, NFT lifecycle actions, historical value/performance, CSV exports, and portfolio summaries through MCP tools.

Enables searching and retrieving historical records from the Library of Congress, including newspapers, photos, maps, manuscripts, audio, and film, via the Model Context Protocol.

The Token Metrics Model Context Protocol (MCP) server provides comprehensive cryptocurrency data, analytics, and insights through function calling. This server enables AI assistants and agents to access Token Metrics' powerful API for real-time crypto market data, trading signals, price predictions, and advanced analytics.

A MCP server that turns your scattered SEO and analytics data into one clear verdict per URL. Plug it into Claude, Cursor, or any MCP-aware client and ask: "Which three posts should I update this week?" - and get an answer backed by hard numbers.

MCP server that gives AI assistants real-time access to Stripe business metrics like MRR, churn, and revenue forecasts via natural language queries.

A comprehensive MCP server for stock analysis and trading insights, including stock screening, fundamental analysis, insider trading, options analysis, social media research, and news analysis.

Analyzes websites like a senior performance engineer and produces prioritized Core Web Vitals recommendations. Provides 16 tools for detailed performance analysis, including Lighthouse, CrUX, WordPress and Cloudflare inspections.

Enables web performance analysis using Google PageSpeed Insights and Chrome UX Report APIs, providing compact metrics and diagnostics without local browser automation.

Generates formatted performance review documents by providing employee details, review period, accomplishments, and improvement areas.

Enables LLMs to perform addition calculations through a stdio-based MCP server with an add_numbers tool and type-safe validation.

Provides accurate SaaS metrics calculations (LTV, CAC, runway, health score, etc.) with formulas and interpretations for AI agents and founders, ensuring no hallucinated numbers.

A high-performance, modular MCP server with safe-by-default profiles, read-only workspace access, search, diagnostics, and benchmarking tools, built with TypeScript and the MCP v2 SDK.

Enables AI agents to perform read-only static analysis of Node.js backend projects, detecting database query anti-patterns, async bottlenecks, connection pooling mistakes, and dependency hygiene issues while returning structured evidence-backed findings.

A tool discovery MCP server that integrates with Azure DevOps wikis and code-graph-rag to match natural language goals to tools, enabling tool composition and proxy testing.

MCP server enabling Claude Code to capture screenshots of Windows applications through WSL2, allowing AI to diagnose UI errors and verify layouts.

Provides access to 120+ Facebook Graph API v23.0 Insights metrics through MCP tools and resources. Features intelligent fuzzy search capabilities and real-time metric discovery for comprehensive Facebook analytics data.

Enables AI assistants to interact with Bitget cryptocurrency exchange for spot and futures trading. Supports real-time market data, order management, account balances, leverage control, and position tracking with demo trading capabilities.

Enables LLMs to read and write local user data, generate fake users via sampling, and interact with structured prompts and resources.

An MCP server that enables AI models like Claude to interact with the Trading Simulator API for checking balances, viewing prices, and executing trades with automatic chain detection.

Analyzes git repository metrics to understand team health, development patterns, code quality, and collaboration through natural language queries. Provides insights on commit statistics, bus factor, velocity trends, technical debt, and burnout detection.