"How to use ESLint and TypeScript for code validation" matching MCP servers:

Check a backtest before trusting it: deflated Sharpe, CSCV overfitting, minimum track record length, breadth ceiling and paper-evidence checks. Deflated Sharpe and track record are tested in CI against the papers' worked examples, CSCV against CRAN pbo. Runs hosted with no signup, or fully on your machine in private local mode. Also reads SEC-reported company financials by ticker.

MCP server that recommends which npm/PyPI libraries to use or avoid, with concise verdicts, alternatives, and code snippets, keeping responses under 500 tokens.

Enables Claude to see and control a real Android phone via MCP, reading the accessibility tree to tap, type, navigate, launch apps, and diagnose connectivity over ADB or cellular.

Enables MCP clients to connect to a privacy-first, self-hostable workout planning and training log, allowing coaching agents to preview and apply program changes while accessing training data through OAuth-protected endpoints.

Enables AI agents to autonomously operate web browsers through the Model Context Protocol, including navigating pages, clicking, typing, filling forms, and extracting structured data.

A monorepo for learning the Model Context Protocol with TypeScript, featuring example MCP servers for weather data and tax calculation.

A feature-complete MCP server template in TypeScript demonstrating tools, resources, prompts, and both stdio and HTTP transports.

An artifact store that lets coding agents and small teams publish, version, and review web artifacts through an MCP server or CLI, with stable URLs, access gates, and comments.

A Model Context Protocol server that converts Markdown documents to plain text with flexible options and dual protocol support.

Enables AI assistants to scan project dependencies and Infrastructure as Code files for security vulnerabilities and misconfigurations. It also provides automated fixing capabilities to remediate identified security issues.

Enables browser automation using Python scripts, offering operations like taking webpage screenshots, retrieving HTML content, and executing JavaScript.

A low-level computer-use MCP server that exposes raw desktop control (mouse, keyboard, shell, windows, processes, screenshots, etc.) to MCP clients like Claude Code and Codex.

Enables running a Model Context Protocol server with a validated echo tool over stdio or Streamable HTTP, including strict schemas, tests, and hardened container deployment.

This server provides a tool to generate unified diffs between two text strings, facilitating text comparison and analysis.

Turns AI assistants into full-stack software engineers with 36 tools for cognitive reasoning, code validation, project scaffolding, and AI/IDE configuration generation across 130+ programming languages, databases, and frameworks.

Facilitates browser automation with custom capabilities and agent-based interactions, integrated through the browser-use library.

Enables AI assistants to surgically extract and analyze code, reducing token usage and costs by up to 200x compared to reading entire files.

Enables LLMs to query documents using semantic search, supporting PDFs, Word, Excel, and more. Organizes documents by topics from folder structure and provides advanced search features like phrase matching and date filtering.

Enables AI agents to control and automate browser actions through an MCP server deployed on Heroku. Supports programmatic browser automation with natural language tasks across multiple LLM providers.

A Model Context Protocol (MCP) server for interacting with Quip spreadsheets. It provides tools to read spreadsheet data from Quip documents and return the content in CSV format.