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webpeel/webpeel

v0.7.0 Feature

This release adds 2 notable features for engineering teams evaluating rollout.

Published 3mo MCP Developer Tools
✓ No known CVEs patched
Read the diff → Tool health → What is this tool? →

✓ No known CVEs patched in this version

Topics

ai-agent ai-agents browser-automation claude-code codex content-extraction
+14 more
cursor firecrawl-alternative mcp mcp-server model-context-protocol llm screenshot structured-data token-efficiency typescript web-crawler web-data web-scraping web-search

Summary

AI summary

Added an Answer endpoint with LLM-generated responses and Brave Search BYOK support.

Full changelog

What's New

⚡ Speed Optimizations

  • Browser pre-warm on server start — eliminates cold-start latency
  • Connection pooling with undici Agent (10 connections, keep-alive)
  • In-memory LRU cache (5min TTL, 1000 entries) — instant repeat fetches
  • Browser page pool — 3 pre-created pages recycled across requests
  • Parallel race — simple + browser race after 3s for uncertain URLs
  • Smart networkidle — only waits when page content is thin (<500 chars)
  • Singleton TurndownService — reuse across calls

🧠 Answer Endpoint (/v1/answer)

  • Search + fetch + LLM-generated answer with citations [1], [2]
  • BYOK: bring your own OpenAI, Anthropic, or Google key
  • Available via API (POST) and CLI (webpeel answer)

🔍 Brave Search BYOK

  • DuckDuckGo search remains free by default
  • Bring your Brave Search API key for higher-quality results
  • Works in API, CLI, and Answer endpoint

🔧 Hosted MCP Endpoint

  • One URL, no local server: https://api.webpeel.dev/mcp
  • MCP Streamable HTTP transport with 7 core tools
  • fetch, search, crawl, map, extract, batch, agent

🎮 Interactive Playground

  • Try scrape, search, crawl, and map in your browser
  • No signup required, code generation included

Benchmark Results

  • 30/30 success rate (100%) on 30-URL benchmark suite
  • 441ms median latency (p95: 1,956ms)
  • 0.867 average quality score

Full Changelog

See changelog for complete details.

View diff on GitHub

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About webpeel/webpeel

Smart web fetcher for AI agents with auto-escalation from HTTP to headless browser to stealth mode. Includes 9 MCP tools: fetch, search, crawl, map, extract, batch, screenshot, jobs, and agent. Achieved 100% success rate on a 30-URL benchmark.

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Related context

Beta — feedback welcome: [email protected]