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Intercept MCP Server

@bighippoman

Repository

Basic information

Category

Other

Transports

stdio

Author

bighippoman

Submitted by

Joseph Nordqvist

About Intercept MCP Server

Give your AI the ability to read the web. Fetches URLs as clean markdown with 9

#mcp#fetch#web#markdown#scraping#ai

Intercept MCP Server config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "intercept": {
      "command": "npx",
      "args": [
        "-y",
        "intercept-mcp"
      ]
    }
  }
}

Intercept MCP Server tools

5

Fetch a URL and return its content as clean markdown. Handles Twitter/X tweets, YouTube videos (with transcripts), arXiv papers, PDFs, Wikipedia articles, and GitHub repos/files/issues/PRs/releases directly. Direct image URLs (png/jpeg/gif/webp) are returned as an image block for vision. Otherwise checks a shared cache, then falls back through a multi-tier chain: Jina Reader, web archives (Wayback, archive.ph, Arquivo.pt), raw fetch, RSS, CrossRef, Semantic Scholar, HackerNews, Reddit, OG meta. Long pages are truncated at maxLength characters — paginate with startIndex. Results are cached for the session; pass noCache to force a live fetch.

Fetch up to 10 URLs in parallel and return each as clean markdown. Same handler/fallback chain as the fetch tool, with a smaller per-URL length budget. Use after a search to pull several sources in one call.

Search the web and fetch the content of the top results in one call. Returns the full content of each result as markdown, ready to summarize or compare. Use this instead of separate search + fetch calls when researching a topic.

Search the web and return results. Uses Brave Search API if BRAVE_API_KEY is set, otherwise falls back to SearXNG and then DuckDuckGo. Supports domain filtering (site), freshness, and pagination (page).

Extract specific values from a web page as JSON instead of markdown prose. Provide CSS selectors to pull named fields (text or an attribute, first match or all), and/or set tables:true to convert every HTML table to arrays of row objects. Use this when you need particular data (prices, lists, specs, tabular data) rather than the whole page. Honors per-domain auth and proxies.

Overview

What is Intercept?

Intercept is an MCP server that gives AI assistants the ability to read web content, including tweets, YouTube videos, arXiv papers, PDFs, and regular web pages. It requires no API keys and works with any MCP client such as Claude Code, Codex, Cursor, Windsurf, and Claude Desktop.

How to use Intercept?

Install with one command: npx -y intercept-mcp. After installation, the AI can read web content automatically when prompted. If the first reading strategy fails, Intercept automatically tries up to eight more strategies before giving up.

Key features of Intercept

  • No API keys required.
  • Handles tweets, YouTube, arXiv, PDFs, and regular web pages.
  • Automatic fallback up to 8 retry strategies.
  • Single command install.
  • Works with multiple MCP clients.
  • Gives AI the ability to read web content.

Use cases of Intercept

  • AI assistant reading a tweet for context.
  • AI analyzing a YouTube video transcript.
  • AI referencing an arXiv research paper.
  • AI extracting information from a PDF document.
  • AI understanding standard web pages during a conversation.

Frequently asked questions

1

Does Intercept require any API keys?

No, Intercept works with one command and no API keys are required.

2

What types of web content does Intercept support?

Intercept handles tweets, YouTube videos, arXiv papers, PDFs, and regular web pages.

3

Which AI tools or clients can use Intercept?

Intercept works with Claude Code, Codex, Cursor, Windsurf, Claude Desktop, and any MCP client.

4

What happens if Intercept fails to read a page?

If the first reading strategy fails, Intercept automatically tries up to eight more strategies before giving up.

Comments

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