When you need web content that won't fail on flaky networks or rate limits, this is what you reach for. It wraps HTTP fetching with retry logic, circuit breakers, and caching so your agents don't choke on unreliable endpoints. The main operations are fetch_markdown for LLM-ready content, fetch_url for raw HTML, and check_domain for health checks before you commit to scraping. It handles anti-bot measures automatically and gives you cache_stats and clear_cache to manage what you've already pulled. With 5,400+ calls and 99% uptime over HTTP transport, it's proven reliable for production agents that need to scrape web content without babysitting every request.
io.github.ericm1018/skillfm-llm-cost-optimizer-openai-anthropic-usage
io.github.mikerawsonnz/llm-orchestration-agent
io.github.mikerawsonnz/authenticated-llm-agent
labforgedev/copilot-memory-mcp
csoai-org/agent-prompt-injection-firewall-mcp
io.github.mikerawsonnz/authenticated-multi-llm-agent