URL Content Saver MCP Server

A Model Context Protocol (MCP) server that allows AI agents to download content from any URL and save it directly to a specified file path.

Features

• Provides a tool for AI agents to download content from any URL and save it to a specified file path
• Handles large content that would exceed the AI’s token limit by processing the download and file writing operations server-side
• Supports saving files to any valid path specified by the AI agent
• Implements proper error handling for cases such as invalid URLs, network failures, or permission issues
• Returns a success confirmation or detailed error message to the AI agent

Prerequisites

• Node.js 18.x or higher
• npm or yarn

Installation

Installing via Smithery

To install url-content-saver-mcp-server for Claude Desktop automatically via Smithery:

npx -y @smithery/cli install @chirag127/url-content-saver-mcp-server --client claude

Manual Installation

1. Clone the repository:

git clone https://github.com/chirag127/URL-Content-Saver-MCP-Server.git
cd URL-Content-Saver-MCP-Server

2. Install dependencies:

npm install

3. Build the project:

npm run build

Usage

Command Line (stdio)

Run the server with stdio transport (for direct integration with AI agents):

npm start

HTTP Server

Run the server with HTTP transport (for remote integration):

npm run start:http

By default, the HTTP server listens on port 3000. You can change this by setting the PORT environment variable:

PORT=8080 npm run start:http

Tool Documentation

The server provides a single tool:

saveUrlContent

Downloads content from a URL and saves it to a specified file path.

Parameters

• url (string, required): The complete URL to fetch content from (must include http:// or https://)
• filePath (string, required): The complete target file path where the content should be saved

Returns

On success:

{
    "success": true,
    "filePath": "/absolute/path/to/saved/file.html",
    "fileSize": 12345,
    "contentType": "text/html",
    "url": "https://example.com",
    "statusCode": 200
}

On error:

{
    "success": false,
    "error": "Detailed error message"
}

Example

{
    "name": "saveUrlContent",
    "arguments": {
        "url": "https://example.com/sample.pdf",
        "filePath": "/path/to/save/sample.pdf"
    }
}

Integration with AI Agents

Claude for Desktop

1. Start the HTTP server:

npm run start:http

2. In Claude for Desktop, add the MCP server:

   • Go to Settings > MCP Servers
   • Click “Add Server”
   • Enter the URL: http://localhost:3000/mcp
   • Name it “URL Content Saver”

3. Claude can now use the saveUrlContent tool to download and save content.

Programmatic Integration

For programmatic integration with the MCP TypeScript SDK:

import { Client } from "@modelcontextprotocol/sdk/client/index.js";
import { StreamableHTTPClientTransport } from "@modelcontextprotocol/sdk/client/streamableHttp.js";

async function main() {
    const transport = new StreamableHTTPClientTransport(
        new URL("http://localhost:3000/mcp")
    );

    const client = new Client({
        name: "example-client",
        version: "1.0.0",
    });

    await client.connect(transport);

    // Call the saveUrlContent tool
    const result = await client.callTool({
        name: "saveUrlContent",
        arguments: {
            url: "https://example.com/sample.pdf",
            filePath: "/path/to/save/sample.pdf",
        },
    });

    console.log(result);
}

main().catch(console.error);

Development

For development with auto-reloading:

# For stdio transport
npm run dev

# For HTTP transport
npm run dev:http

License

ISC

Author

Chirag Singhal