"Information about Puppeteer (Node.js library or related topics)" matching MCP servers:

Enables AI agents to query OpenRouter model information including prices, ELO rankings, context, and perform comparisons.

Enables AI agents to interact with Android devices through visual UI element detection and automated interactions. Provides comprehensive Android automation capabilities including touch gestures, text input, screenshots, and video recording via uiautomator2.

An advanced MCP server for browser automation using Puppeteer, specifically optimized for token efficiency through minimal data returns and progressive enhancement. It enables agents to navigate pages, capture LLM-optimized screenshots, extract structured content, and perform batch interactions.

Enables AI-assisted development by providing a library of 110+ curated prompts, workflows, and coding standards, with MCP tools for prompt retrieval, composition, and multi-step workflow chains.

Enables automatically generating standalone MCP servers from any Python library, exposing its functions as deterministic callable tools.

Serves Markdown skill and rule files from a local directory to AI agents on demand, letting them list and fetch specific instructions without context bloat.

An MCP server that scans React and Vue projects, extracts component metadata (props, slots, events, imports, usage), and exposes it to AI coding agents via structured tools.

Provides AI assistants with access to design documentation across multiple code libraries, enabling discovery of existing utilities and patterns to avoid reimplementation.

A comprehensive prompt library for frontend developers covering React, frontend best practices, and coding guidelines, accessible via MCP tools.

Search and retrieve Google Apps Script libraries with AI-generated summaries and usage examples directly from MCP clients.

Provides AI assistants with access to private React component library documentation, props, and code examples through type-safe TypeScript integration.

An MCP server that enables users to manage, search, and apply specialized AI personas within Claude Desktop and Claude Code CLI. It features a local-first architecture with YAML-based storage for organizing curated prompts and role collections.

An MCP server that enables searching for specific files by name within the current directory and its subdirectories. It uses Server-Sent Events (SSE) to provide a find_file tool for locating local files and libraries.

Provides a small educational library MCP server that demonstrates core Model Context Protocol concepts through book search, checkout, resource reading, prompts, and tool annotations, enabling developers to explore MCP mechanics interactively.

Provides comprehensive system diagnostics and hardware analysis through 10 specialized tools for troubleshooting and environment monitoring. Offers targeted information gathering for CPU, memory, network, storage, processes, and security analysis across Windows, macOS, and Linux platforms.

Provides Node.js debugging capabilities with process management for AI agents, allowing them to start/stop Node.js processes, set breakpoints, step through code, and evaluate expressions.

Enables querying Node.js API documentation, including searching for modules and listing all available modules with their methods.

A simple MCP server implementation in TypeScript that communicates over stdio, allowing users to ask questions that end with 'yes or no' to trigger the MCP tool in Cursor.

A basic MCP server that provides arithmetic calculation tools and system information retrieval capabilities, including platform, CPU, and memory details.

Exposes a Node.js REST API for user and product management through MCP tools, allowing AI assistants to directly interact with MongoDB to create, read, update, and delete users and products.