Arachne MCP Server

Arachne MCP Server

MCP server providing tools for web scraping, browser automation, computer vision, audio transcription, and RAG via API.

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🕷️ Arachne MCP Server

9 MCP tools para web scraping, browser automation, visão computacional, transcrição de áudio e RAG — tudo via API.

Conecta no Arachne como backend. Funciona com Claude Desktop, Cursor, Codex CLI, e qualquer cliente MCP.

✨ Tools

Tool O que faz Ideal para
arachne_search Busca na web via DuckDuckGo Pesquisa, coleta de informações
arachne_scrape Extrai markdown limpo de URLs Páginas estáticas, blogs, docs
arachne_extract Extrai QUALQUER formato (áudio, vídeo, PDF, YouTube) Canivete suíço
arachne_browser_extract Navegador real com evasĂŁo Cloudflare/CAPTCHA Sites que bloqueiam scraper
arachne_browser_run Executa ações em navegador (click, type, login) Automação de formulários
arachne_query Pergunta pra sua base de conhecimento RAG Chatbot com seus dados
arachne_vision Analisa imagens: OCR, cores, faces, descrição AI Extrair texto de fotos
arachne_transcribe Transcreve áudio/vídeo/YouTube com Whisper Podcast, reunião, vídeo
arachne_capabilities Auto-descoberta de capacidades Saber o que o Arachne faz

🚀 Quick Start

1. Pegue uma API Key

Crie em arachne.seu.pet/dev (plano Free: 500 req/mĂŞs).

2. Configure no Claude Desktop

{
  "mcpServers": {
    "arachne": {
      "command": "python3",
      "args": ["-m", "arachne_mcp"],
      "env": {
        "ARACHNE_API_KEY": "sua_chave_aqui"
      }
    }
  }
}

3. Ou teste direto

export ARACHNE_API_KEY="sua_chave"
python3 arachne_mcp.py

Precisa de httpx: pip install httpx

📦 Como funciona

O MCP server é um cliente HTTP que chama a API pública do Arachne. Zero dependência de infra local — roda de qualquer lugar.

Seu agente AI → MCP stdio → arachne_mcp.py → HTTP → Arachne API → resultado

đź”§ Exemplos

# Via arachne-sdk (pip install arachne-sdk)
from arachne_sdk import Arachne
client = Arachne(api_key="sua_chave")

# Busca na web
results = client.search("preço iPhone 16 Brasil")
for r in results:
    print(f"{r.title}: {r.url}")

# Extrair página
content = client.scrape("https://exemplo.com")
print(content[:500])

# Analisar imagem
vision = client.vision("https://exemplo.com/foto.jpg")
print(vision.ocr.text)

# Perguntar ao RAG
answer = client.query("Qual a diferença do Arachne pro Firecrawl?")
print(answer)

📊 Planos

Plano Preço Requests/mês Features
Free R$ 0 500 search, scrape, jobs
Pro R$ 49/mĂŞs 10.000 + browser, vision, transcribe, MCP
Enterprise R$ 199/mĂŞs 100.000 + admin, export, suporte dedicado

🏗️ Stack

  • Backend: FastAPI + Crawl4AI + Whisper + Tesseract + SQLite
  • Engines: Trafilatura → Crawl4AI SDK → Sidecar Docker → Camoufox
  • MCP Transport: stdio (compatĂ­vel com Claude Desktop, Cursor, Codex)

đź”— Links


🕷️ Built with the Arachne engine. Open source MCP server.

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