MCP Web URL Reader

An MCP server that exposes a single tool, read_web_url, which fetches absolute URLs with curl -sL after prepending a configurable CUSTOM_PREFIX on the server side. This server uses the MCP TypeScript/JavaScript SDK and serves a Streamable HTTP endpoint at /mcp for compatibility across many AI applications. Perfect for routing AI web requests through proxies, caching layers, or custom gateways.

Features

• 🌐 Simple web URL reading via curl

• 🔧 Configurable URL prefix for proxying/routing

• 🐳 Tiny Docker image based on Node.js

• 🚀 Easy deployment with Docker Compose

• 🛠️ Compatible with any MCP-enabled AI application

How It Works

The AI thinks it's reading a normal URL:

curl -sL https://www.example.com

But the server actually executes:

curl -sL CUSTOM_PREFIX/https://www.example.com

This allows you to:

• Route requests through a caching proxy

• Add authentication layers

• Use custom gateways

• Bypass rate limits with your own infrastructure

• Monitor/log AI web access

Quick Start

Using Docker Compose

See docker-compose.yml for a working example service mapping 8080:8080 and injecting both environment variables.

The MCP server will be available at http://localhost:8080

Environment Variables

Configuration Examples

Direct Mode (No Prefix)

environment:
  - CUSTOM_PREFIX=
  - PORT=3000

Proxy Mode

environment:
  - CUSTOM_PREFIX=https://proxy.myserver.com
  - INTERNAL_PORT=8080

Cache Gateway

environment:
  - CUSTOM_PREFIX=http://cache-server:8000/fetch
  - INTERNAL_PORT=8080

Using with AI Applications, MCP Client Integration

The server exposes tools over Streamable HTTP: initialize a session with a POST to /mcp, reuse Mcp-Session-Id from the response, then call tools/call with { name: "read_web_url", arguments: { url: "https://example.com" } }. The server will run curl -sL CUSTOM_PREFIX/https://example.com and return text content. Ensure the Mcp-Session-Id header is included in subsequent requests and allowed via CORS.

Claude Desktop (MCP)

Add to your claude_desktop_config.json:

{
  "mcpServers": {
    "web-url-reader": {
      "url": "http://localhost:8080/mcp"
    }
  }
}

n8n

Use the MCP Server node and point it to http://localhost:8080/mcp

Custom Applications

Connect to the MCP endpoint at http://localhost:8080/mcp

Tool Schema

The server exposes one tool:

read_web_url

• Description: Read and return the contents of a web page

• Parameter: url (string, required) - The complete URL to fetch

• Returns: Text content of the web page

Example tool call:

{
  "name": "read_web_url",
  "arguments": {
    "url": "https://www.example.com"
  }
}

Use Cases

Caching Layer

Route all AI web requests through your caching server to reduce external calls:

CUSTOM_PREFIX=http://cache-server/proxy

Authentication Gateway

Add authentication to web requests:

CUSTOM_PREFIX=http://auth-gateway/fetch

Rate Limit Management

Route through your own infrastructure to manage rate limits:

CUSTOM_PREFIX=https://ratelimit-proxy.myserver.com

Privacy/Monitoring

Log and monitor all AI web access:

CUSTOM_PREFIX=http://monitoring-gateway/fetch

Run

• Open http://localhost:8080/ for a basic health probe and connect your MCP client to http://localhost:8080/mcp.

• The MCP endpoint is on http://localhost:8080/mcp with Streamable HTTP semantics for POST/GET/DELETE and CORS exposure for Mcp-Session-Id.

Troubleshooting

Server won't start

• Check that port 8080 is not in use

• Verify environment variables are set correctly

• Check Docker logs: docker-compose logs -f

Requests failing

• Verify CUSTOM_PREFIX is accessible from container

• Test curl manually: docker exec -it mcp-web-reader curl -sL YOUR_URL

• Check timeout settings (default 30s)

GitHub Actions not building

• Ensure workflow permissions are enabled

• Check that GITHUB_TOKEN has package write access

• Verify Dockerfile syntax

License

MIT License - Feel free to use and modify as needed.

Contributing

Pull requests welcome! Please ensure:

• Docker image builds successfully

• README is updated for new features

• GitHub Actions workflow passes