Arachne MCP Server
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
| ARACHNE_API_KEY | Yes | Your Arachne API key. Obtain one at https://arachne.seu.pet/dev |
Instructions
Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.
This server publishes no instructions, or was last inspected before Glama recorded them.
Capabilities
Features and capabilities supported by this server
Protocol revision2025-11-25
| Capability | Details |
|---|---|
| tools | {} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| arachne_searchB | Search the web via DuckDuckGo. Returns titles, URLs, and descriptions. |
| arachne_scrapeA | Extract clean markdown from any URL. Best for static pages, blogs, docs. |
| arachne_extractB | Universal extract — auto-detects format. Works with web pages, audio, video, PDFs, images, YouTube. |
| arachne_browser_extractA | Extract content using a real browser with Cloudflare/CAPTCHA/WAF evasion. Use when arachne_scrape fails. |
| arachne_browser_runB | Execute actions in a real browser: click, type, navigate, screenshot. For login flows, multi-page forms. |
| arachne_queryB | Ask questions to a RAG knowledge base. Retrieves grounded answers with source citations. |
| arachne_visionA | Analyze an image: OCR text extraction, color palette, face detection, quality metrics, AI description. |
| arachne_transcribeB | Transcribe audio, video, or YouTube URL using Whisper. Supports MP3, WAV, MP4, WebM, YouTube. |
| arachne_capabilitiesA | Auto-discover all capabilities, engines, and recommended tools of the Arachne platform. |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
No prompts | |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
No resources | |
TDQS
Scored across 9 tools
Each tool has a distinct purpose: web search, static scraping, universal extraction, browser automation, transcription, vision, RAG querying, and capabilities discovery. No overlap or ambiguity exists.
All tools follow the 'arachne_verb' pattern (e.g., arachne_scrape, arachne_extract, arachne_search). Even 'arachne_capabilities' fits as a clear noun-based exception. The naming is predictable and intuitive.
With 9 tools, the server is well-scoped for a web/media extraction and automation platform. Each tool serves a distinct purpose without feeling sparse or bloated.
The set covers core workflows: scraping, browser interaction, search, transcription, vision, RAG, and capabilities. Minor gaps like file management or output processing do not hinder typical use cases.