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arachne-mcp
Advanced tools
🕷️ MCP server for Arachne — 49 tools: search, scrape, browser, vision, transcribe, RAG, Social Research + VRT visual (Oito Olhos)
🌐 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.
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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_researchsearches 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).
Create one at arachne.seu.pet/dev (Free plan: 500 req/month).
{
"mcpServers": {
"arachne": {
"command": "python3",
"args": ["-m", "arachne_mcp"],
"env": {
"ARACHNE_API_KEY": "arn_your_key_here",
"ARACHNE_API_URL": "https://arachne.seu.pet"
}
}
}
}
pip install arachne-mcp
export ARACHNE_API_KEY="arn_your_key_here"
python3 -m arachne_mcp
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
X-API-Key (create at /dev)FAQs
🕷️ MCP server for Arachne — 49 tools: search, scrape, browser, vision, transcribe, RAG, Social Research + VRT visual (Oito Olhos)
We found that arachne-mcp demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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