Argus MCP server

Argus is a helper that gives your AI a real web search skill. Instead of guessing, your AI can look things up across many search engines, open pages, and bring back the useful text. It is handy if you often ask your AI about things that need fresh or specific sources.

What this MCP server does

You ask your AI a question that needs web information. Your AI sends that request to Argus through this helper. Argus searches across several search engines, picks the best results, and opens the pages to grab the main text. It then hands that text back to your AI. Your AI uses it to write you an answer, often with links to where the information came from.

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What you can do with it

• Search the web across many engines at once
• Pull clean readable text from a web page
• Recover an old or broken link using archives
• Capture the important pages from a documentation site
• Build a small local pack of docs and research notes
• Keep track of how much search budget each provider has used

Try asking your AI

• “Search the web for the latest Python web frameworks and summarize the top results”
• “Fetch the text of this article and tell me the main points: https://example.com/article”
• “This link is dead, can you find an archived copy: https://example.com/old-post”
• “Capture the important pages from https://docs.example.com and give me a short summary”

What it gives back to you

You get back a written answer from your AI, based on real web pages. Argus itself returns lists of search results, the cleaned text of pages, and short reports with links. In the chat, this usually looks like a summary with a few source links you can click.

Before you start

Who it's for

People who use AI for research, writing, or support work and want their AI to check real web sources instead of guessing.