Web Fetch MCP

Name: Web Fetch MCP
Author: KylinMountain

by KylinMountainversion 0.1.1i★ –iRuns on your computer

Registry nameio.github.KylinMountain/web-fetch-mcp

Install

Overview

Description from the maker (original English)

MCP server for web content fetching, summarizing, comparing, and extracting information

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

User voiceiNo reviews yetReviews open together with accounts in a later step
Our basic checksi1 of 1 passedChecked from public information; code not scanned yet
UsageiNot measured yet★ –

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

Connection: Runs on your computer
Transport: stdio
Category: Other
You need to fill in: GEMINI_API_KEY

Install

Pick the AI app you use, then copy the settings.

Before you install

Basic checks: 1 of 1 passed
Runs on your computer with your user’s permissions (files, network, apps).
You fill in yourself: GEMINI_API_KEY, HTTP_PROXY, HTTPS_PROXY

Values marked secret are keys to your account. Never share them or paste them into a chat.

You need

npmNode.js installed (for the npx command)

Which app do you use?

ClaudeClaude CodeCursorVS CodeChatGPT

Pick your app above. We remember it, so next time the button says “Install in …”.

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

{
  "mcpServers": {
    "web-fetch": {
      "command": "npx",
      "args": [
        "-y",
        "web-fetch-mcp"
      ],
      "env": {
        "GEMINI_API_KEY": "your-value",
        "HTTP_PROXY": "your-value",
        "HTTPS_PROXY": "your-value"
      }
    }
  }
}

Run this in your terminal

claude mcp add web-fetch --env GEMINI_API_KEY=your-value --env HTTP_PROXY=your-value --env HTTPS_PROXY=your-value -- npx -y web-fetch-mcp

Fill in the empty values before running it.

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "web-fetch": {
      "command": "npx",
      "args": [
        "-y",
        "web-fetch-mcp"
      ],
      "env": {
        "GEMINI_API_KEY": "your-value",
        "HTTP_PROXY": "your-value",
        "HTTPS_PROXY": "your-value"
      }
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "web-fetch": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "web-fetch-mcp"
      ],
      "env": {
        "GEMINI_API_KEY": "your-value",
        "HTTP_PROXY": "your-value",
        "HTTPS_PROXY": "your-value"
      }
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

Your choice stays on this device in a cookie; no account needed.

Values you fill in

GEMINI_API_KEY secret required env
Your Gemini API key for the service
HTTP_PROXY env
Your proxy for the gemini api service
HTTPS_PROXY env
Your proxy for the gemini api service

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 8, 2026

✓ Pass
Maker matches the repo
The registry name was verified with the GitHub account KylinMountain, which owns the repo
… Not checked yet
Still maintained
We have not read this repo from GitHub yet
… Not checked yet
Has a licence
We have not read this repo from GitHub yet
– Not applicable
Endpoint responds
This one runs on your computer; there is no internet endpoint
– Not applicable
Sign-in with OAuth
Runs on your computer and uses local settings instead
… Not checked yet
No hidden instructions in tool descriptions
Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Otheri

More stars than 0% of the other 18397 servers in this category
Published to the registry more recently than 0% of the other 18397 servers in this category
Basic checks equal to or better than 100% of the other 18397 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is Web Fetch MCP safe?

It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

You need to fill in: GEMINI_API_KEY

Does it run on my computer or in the cloud?

It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed –, and the latest version (0.1.1) reached the registry 14 months ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.

What can I use instead?

In the same category: Spec Driven Development, Remote Desktop Commander, alalanet — check before you pay

Alternatives

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Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

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alalanet — check before you pay

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README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

Web Fetch MCP Server

English | 中文

A Model Context Protocol (MCP) server that provides web content fetching, summarization, comparison, and extraction capabilities.

Features

Three Core Tools: Provides summarize_web, compare_web, and extract_web for versatile web content processing.
Handles Multiple URLs: Process up to 20 URLs in a single request.
Content Transformation: Converts HTML to clean, readable text and automatically resolves GitHub /blob/ URLs to their raw content equivalent.
Safe & Secure: Protects against Server-Side Request Forgery (SSRF) by blocking requests to private IP addresses.
Configurable: Allows setting timeouts and content length limits to manage performance.

Installation

Install the server globally from npm:

npm install -g web-fetch-mcp

MCP Agent Configuration

To use this server with an AI agent that supports the Model Context Protocol, add the following configuration to your agent's settings. Once configured, your agent can call the tools provided by this service.

Important: You must provide a valid Gemini API key for the server to work.

If you installed the package globally:

"mcpServers": { "web-fetch-mcp": { "type": "stdio", "command": "web-fetch-mcp", "env": { "GEMINI_API_KEY": "YOUR_GEMINI_API_KEY" } } } }

Note: If you encounter network access issues (e.g., unable to connect to Gemini), you can configure the environment variables HTTPS_PROXY and HTTP_PROXY. By default, the gemini-2.5-flash model is used, consistent with Gemini-CLI.

If you are running from a local clone:

"mcpServers": { "web-fetch-mcp": { "type": "stdio", "command": "node", "args": ["/path/to/web-fetch-mcp/dist/index.js"], "env": { "GEMINI_API_KEY": "YOUR_GEMINI_API_KEY" } } } }

Tool Reference

The service provides the following tools:

summarize_web: Summarizes content from one or more URLs.
compare_web: Compares content across multiple URLs.
extract_web: Extracts specific information from web content using natural language prompts.

Example Tool Call

To use a tool, your agent should make a callTool request specifying the tool name and a prompt:

"tool": "summarize_web", "arguments": { "prompt": "Summarize the main points from https://example.com/article" } }

For Developers

If you wish to contribute to the development of this server:

Clone the repository: bash git clone https://github.com/your-username/web-fetch-mcp.git cd web-fetch-mcp
Install dependencies: bash npm install
Run in development mode: bash npm run dev
Build for production: bash npm run build

Web Fetch MCP

Overview

PopNx MCP’s three pillars

What you can do with it

Install

Before you install

Values you fill in

What it can do

Basic checksi

Maker matches the repo

Still maintained

Has a licence

Endpoint responds

Sign-in with OAuth

No hidden instructions in tool descriptions

Compared with others in Otheri

Common questions

Alternatives

Spec Driven Development

Remote Desktop Commander

alalanet — check before you pay

README from the maker

Web Fetch MCP Server

Features

Installation

MCP Agent Configuration

Tool Reference

Example Tool Call

For Developers