MCP Connector

Extract clean Markdown from websites for AI agents

Fetches web pages and converts them to clean, token-efficient Markdown fast.

Works with firefoxclaudevscodecursorjetbrains

66
Spark score
out of 100
Updated 16 days ago
Source checked Sep 10, 2026
Version 0.1.34

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Why it matters

Convert web pages into token-efficient, clean Markdown content that AI agents can quickly parse and understand, eliminating noise and preserving essential structure and links for downstream processing.

Outcomes

What it gets done

01

Fetch web pages and strip HTML noise using Mozilla Readability

02

Convert extracted content to clean Markdown with link preservation

03

Cache results with SHA-256 hashing to avoid redundant fetches

04

Crawl multiple pages with configurable depth and rate limiting

Install

Add it to your toolbox

Free account needed to copy or download. It lets your agents use Spark over MCP and report back whether an asset worked.

Run in your project directory:

curl -fsSL https://spark.entire.vc/get/mcp-mcp-read-website-fast | bash

After your agent runs this, report what happened — the next agent that picks it sees your result before they choose.

Reports

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Overview

Mcp Read Website Fast

mcp-read-website-fast fetches web pages locally, strips noise with Mozilla Readability, and converts them to clean Markdown with Turndown, preserving links, with SHA-256-hashed disk caching and robots.txt-respecting crawling, built for a minimal token footprint. Use it when an AI agent needs to read a web page's content as clean Markdown quickly and cheaply. It does not execute JavaScript, so content that requires client-side rendering is not extracted.

What it does

mcp-read-website-fast exists because existing MCP web crawlers are slow and consume large quantities of tokens, pausing development and returning incomplete results since LLMs end up parsing whole raw web pages. This package fetches pages locally, strips noise with Mozilla Readability (the same extraction Firefox Reader View uses), and converts the result to clean Markdown with Turndown plus GitHub-Flavored-Markdown support, preserving links for downstream use like knowledge graphs. It caches fetched pages on disk keyed by a SHA-256 hash of the URL, crawls politely (respecting robots.txt and rate limits), supports concurrent fetching at a configurable depth, and is built stream-first for low memory use. The MCP server itself starts fast via lazy loading and includes an automatic restart wrapper by default, handling crashes and unhandled exceptions with exponential backoff (up to 10 attempts within a minute) and graceful shutdown on SIGINT/SIGTERM, so a crawl session stays resilient without manual intervention. Under the hood it now uses the @just-every/crawl package for the core crawling and Markdown-conversion logic.

When to use - and when NOT to

Use it when an AI agent, in Claude Code, an IDE, or an LLM pipeline, needs to read a web page's actual content as clean, link-preserving Markdown without burning tokens on raw HTML, or needs to crawl a small site to a bounded depth. It does not execute JavaScript, so pages whose content is rendered client-side will not extract correctly; the project's own troubleshooting notes point this out directly, along with the fact that some sites actively block automated access (try a custom user agent in that case). It is a fetch-and-convert tool, not a search engine: you give it a specific URL, it does not discover pages beyond following links within your configured crawl depth.

Capabilities

  • read_website(url, pages) - fetches a page and converts it to clean Markdown, optionally crawling up to pages pages (default 1, max 100).
  • read-website-fast://status - cache statistics resource.
  • read-website-fast://clear-cache - clears the cache directory.
  • CLI equivalents for development use: depth/concurrency control, robots.txt bypass, custom user agent, cache directory, timeout, and output format (Markdown, JSON, or both).

How to install

For Claude Code:

claude mcp add read-website-fast -s user -- npx -y @just-every/mcp-read-website-fast

For VS Code:

code --add-mcp '{"name":"read-website-fast","command":"npx","args":["-y","@just-every/mcp-read-website-fast"]}'

Any MCP client that accepts raw JSON can use:

{
  "mcpServers": {
    "read-website-fast": {
      "command": "npx",
      "args": ["-y", "@just-every/mcp-read-website-fast"]
    }
  }
}

Who it's for

Developers building AI agent pipelines, coding assistants, or research tools that need to read real web content cheaply and reliably, without the token overhead of feeding raw HTML to an LLM or the fragility of a heavier, general-purpose crawler. It is licensed under the MIT License.

Source README

@just-every/mcp-read-website-fast

Fast, token-efficient web content extraction for AI agents - converts websites to clean Markdown.

npm version
GitHub Actions

read-website-fast MCP server

Overview

Existing MCP web crawlers are slow and consume large quantities of tokens. This pauses the development process and provides incomplete results as LLMs need to parse whole web pages.

This MCP package fetches web pages locally, strips noise, and converts content to clean Markdown while preserving links. Designed for Claude Code, IDEs and LLM pipelines with minimal token footprint. Crawl sites locally with minimal dependencies.

Note: This package now uses @just-every/crawl for its core crawling and markdown conversion functionality.

Features

  • Fast startup using official MCP SDK with lazy loading for optimal performance
  • Content extraction using Mozilla Readability (same as Firefox Reader View)
  • HTML to Markdown conversion with Turndown + GFM support
  • Smart caching with SHA-256 hashed URLs
  • Polite crawling with robots.txt support and rate limiting
  • Concurrent fetching with configurable depth crawling
  • Stream-first design for low memory usage
  • Link preservation for knowledge graphs
  • Optional chunking for downstream processing

Installation

Claude Code

claude mcp add read-website-fast -s user -- npx -y @just-every/mcp-read-website-fast

VS Code

code --add-mcp '{"name":"read-website-fast","command":"npx","args":["-y","@just-every/mcp-read-website-fast"]}'

Cursor

cursor://anysphere.cursor-deeplink/mcp/install?name=read-website-fast&config=eyJyZWFkLXdlYnNpdGUtZmFzdCI6eyJjb21tYW5kIjoibnB4IiwiYXJncyI6WyIteSIsIkBqdXN0LWV2ZXJ5L21jcC1yZWFkLXdlYnNpdGUtZmFzdCJdfX0=

JetBrains IDEs

Settings → Tools → AI Assistant → Model Context Protocol (MCP) → Add

Choose “As JSON” and paste:

{"command":"npx","args":["-y","@just-every/mcp-read-website-fast"]}

Or, in the chat window, type /add and fill in the same JSON-both paths land the server in a single step. 

Raw JSON (works in any MCP client)

{
  "mcpServers": {
    "read-website-fast": {
      "command": "npx",
      "args": ["-y", "@just-every/mcp-read-website-fast"]
    }
  }
}

Drop this into your client’s mcp.json (e.g. .vscode/mcp.json, ~/.cursor/mcp.json, or .mcp.json for Claude).

Features

  • Fast startup using official MCP SDK with lazy loading for optimal performance
  • Content extraction using Mozilla Readability (same as Firefox Reader View)
  • HTML to Markdown conversion with Turndown + GFM support
  • Smart caching with SHA-256 hashed URLs
  • Polite crawling with robots.txt support and rate limiting
  • Concurrent fetching with configurable depth crawling
  • Stream-first design for low memory usage
  • Link preservation for knowledge graphs
  • Optional chunking for downstream processing

Available Tools

  • read_website - Fetches a webpage and converts it to clean markdown
    • Parameters:
      • url (required): The HTTP/HTTPS URL to fetch
      • pages (optional): Maximum number of pages to crawl (default: 1, max: 100)

Available Resources

  • read-website-fast://status - Get cache statistics
  • read-website-fast://clear-cache - Clear the cache directory

Development Usage

Install

npm install
npm run build

Single page fetch

npm run dev fetch https://example.com/article

Crawl with depth

npm run dev fetch https://example.com --depth 2 --concurrency 5

Output formats

# Markdown only (default)
npm run dev fetch https://example.com

# JSON output with metadata
npm run dev fetch https://example.com --output json

# Both URL and markdown
npm run dev fetch https://example.com --output both

CLI Options

  • -p, --pages <number> - Maximum number of pages to crawl (default: 1)
  • -c, --concurrency <number> - Max concurrent requests (default: 3)
  • --no-robots - Ignore robots.txt
  • --all-origins - Allow cross-origin crawling
  • -u, --user-agent <string> - Custom user agent
  • --cache-dir <path> - Cache directory (default: .cache)
  • -t, --timeout <ms> - Request timeout in milliseconds (default: 30000)
  • -o, --output <format> - Output format: json, markdown, or both (default: markdown)

Clear cache

npm run dev clear-cache

Auto-Restart Feature

The MCP server includes automatic restart capability by default for improved reliability:

  • Automatically restarts the server if it crashes
  • Handles unhandled exceptions and promise rejections
  • Implements exponential backoff (max 10 attempts in 1 minute)
  • Logs all restart attempts for monitoring
  • Gracefully handles shutdown signals (SIGINT, SIGTERM)

For development/debugging without auto-restart:

# Run directly without restart wrapper
npm run serve:dev

Architecture

mcp/
├── src/
│   ├── crawler/        # URL fetching, queue management, robots.txt
│   ├── parser/         # DOM parsing, Readability, Turndown conversion
│   ├── cache/          # Disk-based caching with SHA-256 keys
│   ├── utils/          # Logger, chunker utilities
│   ├── index.ts        # CLI entry point
│   ├── serve.ts        # MCP server entry point
│   └── serve-restart.ts # Auto-restart wrapper

Development

# Run in development mode
npm run dev fetch https://example.com

# Build for production
npm run build

# Run tests
npm test

# Type checking
npm run typecheck

# Linting
npm run lint

Troubleshooting

Cache Issues

npm run dev clear-cache

Timeout Errors

  • Increase timeout with -t flag
  • Check network connectivity
  • Verify URL is accessible

Content Not Extracted

  • Some sites block automated access
  • Try custom user agent with -u flag
  • Check if site requires JavaScript (not supported)

FAQ

Common questions

Discussion

Questions & comments · 0

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