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Samuelfmedeiros

Arachne MCP Server

by Samuelfmedeiros
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Python
Remote

🕷️ 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

Tool

What it does

Best for

arachne_search

Web search via DuckDuckGo

Research, lead collection

arachne_scrape

Clean markdown from URLs

Static pages, blogs, docs

arachne_extract

Extracts ANY format (audio, video, PDF, YouTube)

Swiss-army knife

arachne_browser_extract

Real browser with Cloudflare/CAPTCHA evasion

Sites that block scrapers

arachne_browser_run

Browser actions (click, type, login)

Form automation

arachne_screenshot

Screenshot of a URL (full page or viewport)

Visual evidence

arachne_record

Records a screencast of a page (.webm)

Interactions, demos

arachne_torrent_extract

Extracts magnet links from BR torrent sites

Torrent acquisition

arachne_download

Universal download (URL, repo, PyPI, npm)

Fetch any artifact

arachne_query

Ask your RAG knowledge base

Chatbot with your data

🔍 Social Sentiment Research

Tool

What it does

Best for

arachne_social_research

Searches what people REALLY say (HN/Reddit/YouTube, last N days) + AI judge via local VLM

Hype vs reality, complaints, market sentiment

👁️ Vision & Audio

Tool

What it does

Best for

arachne_vision

Image analysis: OCR, colors, faces, AI description

Text extraction from photos

arachne_screenshot_vision

Screenshot + full vision pipeline

Visual page inspection

arachne_pdf_vision

Extracts images from PDF + vision analysis

Scanned PDFs

arachne_analyze_video

Video metadata: colors, OCR, geometry, VQA, audio

Video understanding

arachne_transcribe

Audio/video/YouTube transcription with Whisper

Podcast, meeting, video

🕷️ Oito Olhos — Visual Regression Testing (VRT)

Tool

What it does

Best for

arachne_visual_snapshot

Captures URL → creates baseline (1st time) or compares

Idempotent visual tests

arachne_visual_diff

Compares with baseline → diff + semantic verdict

Post-deploy verification

arachne_visual_gates

Deterministic audit: overflow, text collision, JS errors

Key-free, no baseline

arachne_visual_report

Test suite → HTML side-by-side

Consolidated review

arachne_visual_approve

Promotes current → new baseline

Accept an expected change

arachne_visual_list

Lists baselines + status

Monitor what exists

arachne_visual_video

Video VRT: records screencast + compares (animations)

Hover, carousels, transitions

arachne_visual_video_report

Video suite → interactive HTML report

Animation regression review

🤖 Desktop & Agentic

Tool

What it does

Best for

arachne_desktop

Desktop control (windows, type, key, click)

OS automation

arachne_desktop_os

Desktop agentic with VLM "eye" (screenshot + describe)

See before acting

arachne_observe

Screenshot + numbered clickable bounding boxes

GUI agent navigation

📦 GitHub / GitLab / Packages

Tool

What it does

arachne_repo_download

Download GitHub repo as zip (branch/token)

arachne_repo_fork

Fork a GitHub repo

arachne_repo_forks

List forks by stars

arachne_repo_index

Download + index repo into RAG

arachne_releases

List GitHub releases with assets

arachne_release_download

Download a release asset

arachne_pypi_download

Download PyPI package (sdist/wheel)

arachne_npm_download

Download npm package tarball

arachne_gitlab_download

Download GitLab project archive

arachne_github_trending

GitHub trending repos + developers (period/language, zero cost)

arachne_github_user_prs

PRs authored by a user (since/until filters)

arachne_github_user_activity

Monthly activity + event types for a user

arachne_github_repo_metadata

Full repo metadata (stars/forks/issues/license)

🧠 Code Knowledge Graph

Tool

What it does

code_graph

Explore code structure: stats, search, routes, files, deps

kg_context

Ranked BFS code context (~2K tokens)

kg_communities

Community detection (Leiden/greedy)

kg_god_nodes

Most influential code entities (PageRank)

kg_watch

Git watcher — incremental change detection

🧭 Utilities

Tool

What it does

arachne_capabilities

Auto-discover capabilities

arachne_ping

Health check

arachne_metrics

Server metrics (CPU, RAM, disk)

arachne_plan

Goal analysis → tool chain suggestion

arachne_calc

Safe math calculator (AST-sandboxed)

arachne_format_converter

Universal converter (65+ formats)

arachne_sandbox_status

Check ai-jail sandbox availability

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).

Related MCP server: CloakMCP

🚀 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-mcp
export 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

Install Server
A
license - permissive license
A
quality
B
maintenance

How are these scores calculated?

Maintenance

–Maintainers
–Response time
–Release cycle
–Releases (12mo)
Commit activity
Issues opened vs closed

Resources

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If you are the server author, to access and configure the admin panel.

Tools

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