Read Website Fast logo

Read Website Fast

Organization
just-every

Quickly reads webpages and converts to markdown for fast, token efficient web scraping

Publisherjust-every
Repositorymcp-read-website-fast
LanguageTypeScript
Forks
25
Stars
146
Available tools
1
Transport typestdio, streamable-http
Categories
LicenseMIT
Links
  • Connect tools to AI workflows

    Read Website Fast exposes MCP capabilities that can be used by compatible AI clients and agents.

  • 1 available tools

    Browse the callable actions below, including names and descriptions when provided by the server.

  • Ready-to-copy setup

    Use the installation snippets to configure this server in your preferred MCP client.

  • Open source signals

    146 stars and 25 forks from the linked repository.

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

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

npm version GitHub Actions

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

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

VS Code

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

Cursor

bash
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:

json
{"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)

json
{
  "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

bash
npm install
npm run build

Single page fetch

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

Crawl with depth

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

Output formats

bash
# 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

bash
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:

bash
# 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

bash
# 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

Contributing

Contributions are welcome! Please:

  1. Fork the repository
  2. Create a feature branch
  3. Add tests for new functionality
  4. Submit a pull request

Troubleshooting

Cache Issues

bash
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)

License

MIT

Installation

TypingMind
Prerequisites:

Node.js 18+

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

Available Tools

  • read_website

    Fast, token-efficient web content extraction - ideal for reading documentation, analyzing content, and gathering information from websites. Converts to clean Markdown while preserving links and structure.

Use Read Website Fast MCP with multiple AI models

TypingMind connects MCP tools at the workspace level, so once Read Website Fast is connected, you can use it with different AI models in TypingMind instead of setting it up separately for each model. You can run MCP locally on your device or connect to a remote MCP server URL.

Option 1: Use the local connector

Use this when the MCP server needs access to local files, apps, or private resources on your computer.

1

Open the MCP settings

In TypingMind, go to Settings, Advanced Settings, then Model Context Protocol and choose Setup Connector.

  1. Open TypingMind in your browser.
  2. Click the Settings icon.
  3. Go to Advanced Settings.
  4. Open the Model Context Protocol section.
  5. Click Setup Connector and choose This Device.
TypingMind MCP connector setup screen with This Device selected
2

Run the connector command

Choose This Device, copy the command from TypingMind, and run it in Terminal. Keep the process running while you use MCP.

  1. Copy the setup command shown by TypingMind.
  2. Open Terminal on macOS or Windows Terminal on Windows.
  3. Paste and run the command.
  4. Approve the package install if Terminal asks you to proceed.
  5. Keep the Terminal window running while using MCP tools.
3

Add Read Website Fast as a server

When the connector status is Ready, click Edit Servers and paste the MCP server configuration.

  1. Wait until the connector status shows Ready.
  2. Click Edit Servers.
  3. Paste the Read Website Fast MCP server configuration.
  4. Save the server list.
  5. Refresh if you want to confirm the connector is still ready.
TypingMind MCP settings showing active server and Edit Servers button
{
  "mcpServers": {
    "read-website-fast": {
      "command": "npx",
      "args": [
        "-y",
        "@just-every/mcp-read-website-fast"
      ]
    }
  }
}
4

Use it across models

Save the server list, open Plugins, enable the Read Website Fast MCP tools, then select any supported AI model in TypingMind and use the tools in chat or assign them to an AI agent.

  1. Open the Plugins page in TypingMind.
  2. Enable the Read Website Fast MCP tools.
  3. Start a chat and choose the AI model you want to use.
  4. Use the MCP tools in chat or assign them to an AI agent.
  5. Switch to another AI model whenever needed without reconnecting MCP.
TypingMind chat using enabled MCP tools with a selected AI model
Can you use Read Website Fast to help me with this task?
Read Website Fast
Sure. I read it.
Here is what I found using Read Website Fast.

Option 2: Add an MCP server URL

Use this when Read Website Fast is already hosted remotely or your team wants one shared connector that multiple users can access.

1

Open MCP connectors

In TypingMind, go to Plugins, open MCP connectors, then choose Add URL.

  1. Open TypingMind in your browser.
  2. Go to Plugins.
  3. Open MCP connectors.
  4. Click Add URL.
TypingMind Add Custom MCP Server URL form
2

Paste the server URL

Enter your server URL in the Server URL field. Add a connection name, description, icon, custom HTTP headers, or OAuth client settings if the server requires them.

  1. Paste your server URL into the Server URL field.
  2. Enter a connection name for Read Website Fast.
  3. Add a description and icon if you want it to be easier to identify.
  4. Add custom HTTP headers or OAuth client details if the server requires authentication.
3

Create the connection

Click Create connection, then return to the Plugins list and confirm the new MCP connection is active.

  1. Click Create connection.
  2. Return to the MCP connectors list.
  3. Confirm the Read Website Fast connection appears as active.
  4. Refresh the plugin list if the connection does not appear immediately.
4

Switch models without reconnecting

Start a chat with your preferred model, enable the Read Website Fast tools from Plugins, and switch to another model whenever needed. The MCP connection stays available to the TypingMind workspace.

  1. Start a new chat in TypingMind.
  2. Select the AI model you want to use.
  3. Enable the Read Website Fast tools from Plugins.
  4. Ask the model to use the tool when needed.
  5. Switch to another AI model and reuse the same MCP connection.
TypingMind chat using enabled MCP tools with a selected AI model
Can you use Read Website Fast to help me with this task?
Read Website Fast
Sure. I read it.
Here is what I found using Read Website Fast.

Frequently asked questions

What is the Read Website Fast MCP server used for?

Read Website Fast is an MCP server that lets compatible AI clients connect to external tools and context. In TypingMind, you can add this MCP server once and make its tools available in your AI workspace.

Can I use Read Website Fast MCP with multiple AI models in TypingMind?

Yes. TypingMind connects MCP tools at the workspace level, so you can use Read Website Fast with different AI models such as Claude, ChatGPT, Gemini, or other models you have configured in TypingMind without setting up the MCP server separately for each model.

Why use Read Website Fast MCP with TypingMind?

TypingMind is one of the best frontends for LLM chat because it brings multiple AI models, prompts, plugins, AI agents, API keys, and MCP tools into one workspace. With Read Website Fast connected, you can use its MCP tools across your preferred models while keeping your chat workflow organized in TypingMind.

How do I connect Read Website Fast MCP to TypingMind?

Read Website Fast can be connected in TypingMind with the local MCP connector or by adding a remote MCP server URL. Use the local connector when the server needs access to files, apps, or private resources on your device, and use a server URL when the MCP server is hosted remotely.

What tools does Read Website Fast MCP provide in TypingMind?

Read Website Fast exposes 1 MCP tools that can be enabled from the TypingMind Plugins page and used in chat or assigned to AI agents.

Do I need to share my API keys with TypingMind to use Read Website Fast MCP?

No. TypingMind is local-first and lets you keep your model providers, API keys, prompts, and MCP configuration under your control. If Read Website Fast requires authentication, add the required headers, OAuth settings, or local configuration for that MCP server when you create the connection.

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