"Tools for optimizing prompts" matching MCP servers:

Enables browser automation (navigate, screenshot, click, type, etc.) for Claude Code via MCP protocol, with a Chrome extension for configuration.

Amenbo is a Japanese-web-native MCP server for low-impact, token-efficient web collection, enabling agents to fetch, outline, and screenshot web pages while respecting robots.txt and optimizing for Japanese sites.

Routes web requests from AI tools through Tor for anonymized fetching, with selective per-URL routing to bypass Tor-blocking sites.

Drop-in replacement for Claude's native web_search and web_fetch tools, resolving IP blocks and user-agent detection by using your own API keys and proxy.

Enables Claude Code to delegate web research and image generation to ChatGPT via Playwright browser automation, allowing token-efficient search and visual design iteration without manual screenshots.

A Model Context Protocol server that lets AI assistants communicate through Minionese, offering tools for chat and text transformation, reusable prompts, and resources for banana-aligned intelligence.

TypeScript implementation of an MCP server that provides tools for web crawling, content extraction, and browser automation, enabling AI systems to access and process web content through 15 specialized tools.

Sub-15ms edge intelligence tools for Claude Desktop, Cursor, and LLM agent loops. Provides sub-millisecond LLM JSON repair, web-to-markdown token compression (cuts context tokens up to 90%), PII redaction, and RFC 5322 B2B email deliverability verification at zero marginal token cost.

General TypeScript MCP server that provides tools for OpenClaw capabilities, including balance and invoice retrieval from RMappi/Osuria.

A typed FastMCP server that wraps Tavily's web research API, providing tools for search, extract, map, crawl, and research workflows via MCP with prompts and resources.

Enables AI tools to interact with browsers for enhanced frontend development, providing context to LLMs through tools like API call analysis, screenshots, element selection, and documentation ingestion.

Enables fetching any website without permission prompts, including automatic bot challenge bypass, with built-in web search, Reddit, marketplace, realtor, AliExpress, and Alibaba tools.

Reduces token consumption by 73-87% by cleaning web and API data before it reaches the LLM context window. Supports fetching URLs, searching the web, optimizing JSON, and more.

A fault-tolerant, stealth-enabled Model Context Protocol (MCP) server for web searching and content fetching. Built for AI Agents (Cursor, Claude Code, OpenCode), it uses a stealth browser engine to fetch pages, dynamically handles SPAs/React, and converts bloat into token-optimized Markdown.

Provides web access capabilities for LLMs including search, fetching, content extraction, PDF reading, image viewing, and screenshots.

Enables AI agents to extract structured content from URLs, search the web via DuckDuckGo, monitor site availability, and convert HTML to markdown without requiring API keys.

Gives Claude control of a real, headed Chromium browser via Playwright, enabling web navigation, clicking, typing, screenshots, and JavaScript evaluation.

Provides a local MCP server for AI-powered web crawling on Windows, enabling agents to directly crawl and extract web content without requiring WSL.

Provides local web search and content fetching capabilities for AI assistants, enabling them to search DuckDuckGo and extract clean text from web pages. All requests originate from the user's machine to ensure direct network control and bypass external proxies.

A Model Context Protocol server that provides web search capabilities using Google Custom Search API and webpage content extraction functionality.