Octen-Team

Octen-Team / octen-mcp

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MCP server for Octen Extract — turn URLs into LLM-ready markdown for Claude / Cursor / any MCP client

docs.octen.aiapi-referenceextract anthropic claude extract llm mcp
10
0
89% credibility
Found May 22, 2026 at 10 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
TypeScript
AI Summary

Octen MCP is a tool that helps AI assistants read and understand web pages. It connects to your AI (like Claude, Cursor, or VS Code) and lets it fetch content from any URL. What makes it special is that it doesn't just dump raw HTML—it returns clean, readable content with helpful labels: what topic the page covers (finance, technology, health, etc.) and what type of page it is (article, homepage, login form, empty shell). This helps AI assistants avoid wasting time on useless pages like login walls or navigation menus, and lets them focus on the actual content you care about.

How It Works

1
💬 You're chatting with an AI assistant

You're working on a project and ask your AI to summarize an article or compare two websites.

2
🤔 The AI can't see the web

Your assistant knows a lot but can't browse live websites—it needs help to read pages from the internet.

3
🔌 You discover a helpful connection

You find a tool that lets your AI assistant pull content directly from any URL, with smart labels about what each page contains.

4
⚙️ You connect it to your assistant

With one click or a simple setup, you link the tool to your AI so it can fetch web pages on your behalf.

5
You ask your AI to fetch a URL
🔍
Looking for something specific

Ask about a particular topic and get only the most relevant snippets, ranked by importance.

📄
Just want the full page

Ask for everything and get clean, readable content with helpful labels about what the page is about.

6
🧠 Your AI understands the page

The tool tells your assistant what kind of page it is—article, homepage, login form, or empty shell—so it knows how to handle it.

✨ You get exactly what you need

Clean, organized content arrives ready to use—no login walls, no empty pages, just the good stuff.

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AI-Generated Review

What is octen-mcp?

octen-mcp is an MCP server that wraps the Octen Extract API, letting AI assistants fetch web pages and convert them to clean, LLM-ready markdown. It works with Claude, Cursor, VS Code, Windsurf, and any other MCP-compatible client. The server accepts up to 20 URLs per call and returns the page content plus structured metadata. TypeScript-based and deployed via a simple npx command, it requires an API key from octen.ai.

Why is it gaining traction?

The key differentiator is upstream filtering. Most scraping tools return success even when a page is a login wall or empty shell, forcing you to waste LLM tokens discovering the page has no content. Octen returns a `page_structure` field that flags these at fetch time, letting you skip useless pages before spending money. It also classifies pages by topic (`category`) so RAG pipelines can filter out off-topic content before embedding. When you want something specific, passing a `query` parameter returns ranked highlights instead of a full body.

Who should use this?

Developers building RAG pipelines who are wasting embeddings on useless pages. AI agents that fetch multiple URLs and need to prioritize or filter content. Anyone integrating live web browsing into Claude or Cursor workflows. Teams running extract pipelines at scale who want to cut token costs by skipping pages that look successful but aren't.

Verdict

With only 10 stars and a credibility score of 0.8999999761581421%, this is a young project with minimal community validation. The README is thorough and the filtering use case is genuinely compelling, but the low adoption means you're an early adopter shouldering that risk. Try it if upstream filtering burns you; wait if you need battle-tested tooling.

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