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

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

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.

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.

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

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.

Turns JUnit XML test reports from CI into queryable QA metrics, letting AI assistants answer plain-English questions about failures, flaky tests, regressions pinned to a commit, root-cause clusters, and performance drift. Also generates ready-to-share QA health reports and self-contained HTML dashboards without logging into separate tools.

AutomateLab SEO Performance combines search and analytics data into clear actions for each URL. Find content to refresh and track results from your MCP client. Product and documentation: https://automatelab.tech/products/mcp/seo-performance-mcp/

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 AI clients to access Orderly Network perpetual trading through a locally installed CLI, including market data, account and order queries, and guarded trading operations while keeping private keys in the OS keychain.

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

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

Enables AI agents to call tools through a security gateway that intercepts requests, enforces deterministic policy and risk checks, blocks or escalates high-risk actions for human approval, and keeps tool credentials and audit logs protected.

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

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.

Prediction-market intelligence and crypto paper trading for AI agents. Explore data across 12 venues with 38 MCP tools, including 11 keyless tools on the hosted endpoint. Compare markets, track whales and discover crypto movers. Add a CoinRithm API key for simulated spot, futures and prediction-market trading, portfolio tracking and execution exports.

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.

Enables AI agents to query commerce metrics data such as orders, carts, and returns via breakdowns, stats, and searches through the Commerce Layer Metrics API.

Enables AI agents to interact with eToro's public Swagger UI API through 197 fine-grained MCP tools and configurable toolsets, supporting market data and demo-safe trading with gated real-money operations.

Perpetual futures trading API for AI agents. Access 275+ markets (crypto, stocks, commodities, forex) via Hyperliquid. Copy trading, leaderboard, up to 50x leverage. No KYC. 20% referral commissions.

Bridges the ChatGPT web UI to a local development environment over MCP, letting the model read and patch files, run real shell commands and terminals, execute tests, and control the desktop (screen, mouse, keyboard, clipboard) within user-approved folders. It adds parallel workers, goal/loop long-task control, plugin tools, and a security-hardening layer with risk-tiered shell policy, audit logging, and credential sanitization.

Enables running a stateless Model Context Protocol server over Streamable HTTP on Cloudflare Workers or any fetch-capable runtime, with signed sessions, origin checks, and JSON-RPC request handling. It lets developers define tools with JSON Schema validation and per-request context.

Converts non-functional requirements and code into secure, traceable JMeter performance tests with coverage analysis, plan generation, execution, and GitHub draft PRs.