Arachne MCP — scraping, browser, vision, OCR, RAG, Social Research, GitHub + VRT (56 tools).
Arachne-mcp is an MCP integration. Arachne MCP — scraping, browser, vision, OCR, RAG, Social Research, GitHub + VRT (56 tools).
The published pypi package is arachne-mcp, version 1.4.0. Its declared MCP transport is stdio.
The package declares ARACHNE_API_KEY (required): Sua chave de API do Arachne (crie em https://arachne.seu.pet/dev); ARACHNE_BASE_URL: URL base da API do Arachne (opcional, default: https://arachne.seu.pet).
Check the maintainer’s instructions for account access, authentication and the supported client configuration. Once connected, inspect the tools your client receives and try a small task that matches the server’s stated purpose. The registry description does not include a verified, complete tool list.
View the publisher’s registry entry · Project repository. This profile uses version 1.4.0 from the registry. Registration identifies the publisher namespace; it does not establish that this is a first-party integration for every service it connects.
Browse related developer tools MCP servers for tools that cover the same kind of work.
{
"mcpServers": {
"arachne": {
"command": "python3",
"args": [
"-m",
"arachne_mcp"
],
"env": {
"ARACHNE_API_KEY": "YOUR_ARACHNE_API_KEY",
"ARACHNE_API_URL": "https://arachne.seu.pet"
}
}
}
}From the project documentation. Replace placeholders and example paths before connecting.
| Variable | Description | Required |
|---|---|---|
| ARACHNE_API_KEY | Declared in the maintainer’s client configuration. | Check documentation |
| ARACHNE_API_URL | Declared in the maintainer’s client configuration. | Check documentation |
Use Microsoft’s Playwright MCP server to navigate pages, inspect accessibility snapshots, fill forms and capture browser screenshots.
The original Chromium automation reference server — simple, screenshot-driven browser control.
Give your coding agent the full DevTools toolbox: traces, network, console, heap snapshots and Lighthouse.
Puppeteer-powered browser control that drives pages from the accessibility tree instead of pixels.
Enables AI-powered applications to monitor and interact with browser data via a Chrome extension and MCP.
Automates browsers and APIs, enabling Large Language Models (LLMs) to interact with web pages for tasks like screenshot capture and JavaScript