"Terraform Cloud - Managing Cost and Performance" matching MCP servers:

MCP server for the Spider web crawling and scraping API, enabling AI agents to crawl, scrape, search, and extract web data.

Enables MCP clients to search the web and fetch individual pages through two stdio tools, returning ranked results or extracted page content, titles and outbound links. It wraps a hosted, API-key-authenticated service (or a local daemon) with zero runtime dependencies.

A cloud MCP server providing Tavily-powered tools for web search, extraction, crawling, mapping, and research, with multi-key load balancing, real-time quota tracking, and a web admin panel.

Complete Vinted MCP and CLI Server

Enables AI assistants to scrape, crawl, search, and extract data from websites via the Spider Cloud API, with anti-bot bypass and JavaScript rendering.

Search API for AI, SEO & automation. Browser-rendered Google, Bing, Yandex, Baidu, DuckDuckGo and Ecosia results with URL extraction (+image search and engine metadata tools)

Enables browser automation, web content extraction, and LLM-powered data transformation using Playwright. Supports session management, authentication flows, and works with local LLMs (Ollama, JAN AI) or external providers to clean and structure extracted web data.

Validates URLs and checks their reputation to help identify AI hallucinations and verify web page authenticity.

A remote MCP server providing web scraping and URL analysis tools (fetch webpage, extract links, check URL status, analyze text) with static bearer-token authentication and optional OAuth support.

Enables AI agents to crawl, scrape, search, and automate browsers with anti-bot bypass, providing fast web access via 22 tools.

An MCP-native pipeline for collecting structured intelligence on higher education institutions using the WHED schema, enabling scraping, extraction, validation, and saving of profiles.

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.

A production-ready Model Context Protocol (MCP) server that integrates with the Firecrawl API to give AI assistants the power to scrape, crawl, and search the web.

Multi-session browser MCP server that gives AI agents up to 15 fully-isolated browsers running in parallel. 36 tools including navigation, extraction, network intercept, stealth, and self-improvement. Each session has its own cookies, storage, and fingerprint so agents never collide.

📈 提供股票、加密货币的数据查询和分析功能MCP服务器

Enables an LLM to control a hosted headless Chromium browser over HTTP, navigating pages, clicking, typing, and reading structured accessibility snapshots so any MCP client can perform browser automation without local installation.

Enables web search via Serper API with advanced search operators and webpage scraping capabilities to extract content in plain text or markdown format.

MCP server that gives AI agents web capabilities such as rendering pages, extracting content, resolving links, and inspecting domains, with per-call USDC payments via x402.

Exposes Amazon Nova Act web automation capabilities through the Model Context Protocol, enabling AI agents to perform browser tasks like navigation, data extraction, and form interaction.

Provides web search and page fetching capabilities using Ollama's API.