Arachne Mcp

🕷️ Arachne MCP Server

🌐 English · 🇧🇷 Português

49 MCP tools for web scraping, browser automation, computer vision, audio transcription, RAG, Social Sentiment Research, and Visual Regression Testing (VRT) — the Oito Olhos (Spider's Eight Eyes) — all through the Arachne API.

Backed by Arachne. Works with Claude Desktop, Cursor, Codex CLI, Hermes, and any MCP client.

✨ Tools (49)

🔍 Web & Data

🔍 Social Sentiment Research

👁️ Vision & Audio

🕷️ Oito Olhos — Visual Regression Testing (VRT)

🤖 Desktop & Agentic

📦 GitHub / GitLab / Packages

🧠 Code Knowledge Graph

🧭 Utilities

VRT with local LLM: Oito Olhos uses pixel diff + DOM pairing + CLIP semantic triage + local VLM (Qwen2.5-VL via Douglas, Samuel mirror fallback) — classifying changes as regression | expected | noise, with a fix suggestion (CORRECAO:) when it detects a bug. No third-party API key for the verdict.

Social Research with local AI judge: arachne_social_research searches Hacker News (Algolia), Reddit (JSON API + browser_agent/Camoufox fallback) and YouTube (yt-dlp) in the last N days, scores by real engagement (upvotes/points/views), and synthesizes a hype vs reality report with a local VLM (no third-party API keys).

🚀 Quick Start

1. Get an API key

Create one at arachne.seu.pet/dev (Free plan: 500 req/month).

2. Configure in Claude Desktop

{  "mcpServers": {    "arachne": {      "command": "python3",      "args": ["-m", "arachne_mcp"],      "env": {        "ARACHNE_API_KEY": "arn_your_key_here",        "ARACHNE_API_URL": "https://arachne.seu.pet"      }    }  }}

3. Or run directly

pip install arachne-mcpexport ARACHNE_API_KEY="arn_your_key_here"python3 -m arachne_mcp

🪟 Windows install (works out of the box)

arachne-mcp is a pure-Python client (only httpx) — no Linux-only dependencies, no WSL required. Install it on Windows with:

pip install arachne-mcp

Then configure it in any MCP client using the console-script entry point (arachne-mcp is on your PATH after install):

{  "mcpServers": {    "arachne": {      "command": "arachne-mcp",      "args": [],      "env": {        "ARACHNE_API_KEY": "arn_your_key_here",        "ARACHNE_API_URL": "https://arachne.seu.pet"      }    }  }}

⚠️ Do not point command at a Linux path (e.g. /home/user/.../venv/bin/arachne-mcp) — that only exists on the machine where the Arachne server runs. On Windows (and any other client machine) use the pip package + API key: the server does all heavy work (browser, VLM, vision, RAG) behind https://arachne.seu.pet.

📡 Architecture

The MCP server is a thin proxy: it forwards each tool call to the Arachne API (POST /api/mcp/proxy), which executes the tool server-side and returns the result. This keeps the client light (only httpx), while all heavy work — browser, VLM, vision, RAG — runs on the Arachne server.

Claude Desktop / Cursor / Codex        │  MCP (stdio)        ▼arachne-mcp (thin proxy, 49 tools)        │  HTTP + X-API-Key        ▼Arachne API (arachne.seu.pet) → executes tool → returns JSON

🔐 Security

• API key auth: every request carries X-API-Key (create at /dev)
• Rate limits enforced server-side per plan
• No code runs client-side — the proxy only forwards arguments