A local-first MCP server that lets AI agents read any webpage as clean Markdown, crawl whole sites within configured limits, search without API keys, and solve supported captchas locally — all without cloud services or third-party keys.
A token-efficient MCP server that gives AI agents structured access to the web, returning compact page summaries and targeted queries instead of full accessibility dumps.
Context-efficient MCP server for AI agents. fetch_extract reduces token usage by a median 98.1% (53,820 → 2,001 tokens) vs raw HTML — saves ~$0.156/call at Sonnet pricing. Pay $0.02 USDC on Base via x402. First call free per wallet. 10 always-free utility tools included.
A secure web scraping MCP server for AI agents that fetches pages with token budgeting, robots.txt compliance, and injection warnings, providing parsed content like markdown, metadata, and structured data.