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PopNx MCPMCP servers for people who use AI · explained in plain words

Decodo MCP

by Decodoversion 1.7.0i★ –iRuns on your computer
Registry nameio.github.Decodo/mcp-server

Install

Overview

Description from the maker (original English)

Enable your AI agents to scrape and parse web content dynamically, including geo-restricted sites

PopNx MCP’s three pillars

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

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: Web & browsers

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).
  • The registry lists no key to fill in.

You need

  • npmNode.js installed (for the npx command)

Which app do you use?

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": {
    "decodo": {
      "command": "npx",
      "args": [
        "-y",
        "@decodo/mcp-server"
      ]
    }
  }
}

Run this in your terminal

claude mcp add decodo -- npx -y @decodo/mcp-server

Open in Cursor

Or copy the settings yourself

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

{
  "mcpServers": {
    "decodo": {
      "command": "npx",
      "args": [
        "-y",
        "@decodo/mcp-server"
      ]
    }
  }
}

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": {
    "decodo": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@decodo/mcp-server"
      ]
    }
  }
}

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.

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 6, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account Decodo, 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 Web & browsersi

  • More stars than 0% of the other 875 servers in this category
  • Published to the registry more recently than 80% of the other 875 servers in this category
  • Basic checks equal to or better than 100% of the other 875 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 Decodo 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?

The registry does not list a required key, though some servers ask you to sign in on first use.

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 (1.7.0) reached the registry 8 days 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: Browser Use, Chrome DevTools MCP, MCP Server Browser

Alternatives

Servers in the same category from other makers, sorted by stars.

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

Browser Use

by browser-use

Lets AI do web tasks for you, such as filling forms, searching and extracting data, in the maker’s cloud browsers or on your computer.

Computer or cloud★ 120,087MITUpdated 16 days ago
Install

Chrome DevTools MCP

by ChromeDevTools

Lets AI use Chrome’s developer tools to inspect pages, find what makes them slow and spot errors. Made by the Chrome DevTools team.

Runs on your computer★ 54,821Apache-2.0Updated 15 days ago
Install

MCP Server Browser

by bytedance

MCP server for browser use access

Runs on your computer★ 39,550Apache-2.0Updated 14 months ago
Install

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.

Decodo MCP Server

Connect LLMs and AI agents to live web data using MCP (Model Context Protocol). The Decodo MCP Server lets you scrape websites, search engines, eCommerce platforms, and social media directly from AI tools like Claude, Cursor, and Windsurf, all without the need to build scraping infrastructure from scratch.

  • Structured outputs in JSON, Markdown, and screenshots
  • Server-side JavaScript rendering and anti-bot handling
  • 125M+ IPs across 195+ locations

What is Decodo MCP server?

The Decodo MCP Server is a web scraping layer for AI agents. It connects MCP-compatible clients to Decodo's Web Scraping API, enabling:

  • Web scraping for LLMs
  • Real-time data retrieval for RAG
  • AI agent browsing and research
  • Structured data extraction from dynamic websites

Instead of maintaining proxies, parsers, and retry logic, you get a single integration point for reliable web data access.

Why use MCP for web scraping?

Model Context Protocol (MCP) is the emerging standard for connecting AI agents to external tools and data sources. With MCP:

  • Agents can call tools dynamically
  • Integrations stay standardized
  • Workflows scale across environments

The Decodo MCP Server gives your agents reliable, production-ready web access through this standard.

Key features

Web scraping for AI agents, no infrastructure required. Scrape any website, including JavaScript-heavy pages, without handling proxy rotation, CAPTCHA solving, or anti-bot systems.

Structured outputs for LLM workflows. Markdown (LLM-ready), JSON (for structured pipelines), and screenshots (for visual context), built for RAG pipelines, AI research agents, and automation flows.

Built-in support for popular targets. Ready-made tools for Google and Bing (SERPs), Amazon, Walmart, and Target (eCommerce), TikTok and YouTube (social media), and ChatGPT and Perplexity (AI search).

Global proxy infrastructure. 115M+ residential IPs, 195+ geo-locations, and a 99.99% success rate on even the most protected targets.

Modular MCP toolsets. Enable only what you need: web, search, ecommerce, social_media, ai for cleaner tool selection and better agent performance.

Fast time to value. From API key to first scrape in minutes, no setup overhead.

Use cases

Use the Decodo MCP Server when you need web scraping for AI agents, structured data extraction at scale, reliable access to dynamic websites, real-time data for RAG, or an alternative to building scraping infrastructure from scratch. Common scenarios:

  • AI-powered web scraping – give LLMs the ability to collect fresh data instead of relying on static training data.
  • RAG with live data – pull real-time Google, Bing, and AI search results into retrieval pipelines.
  • eCommerce intelligence – track product prices, listings, and sellers across marketplaces without getting blocked.
  • Social media data collection – gather posts, channels, and engagement data from TikTok and YouTube.
  • Travel and price aggregation – build tools that collect live pricing and availability across websites.

Quick start

  1. Create a free account at dashboard.decodo.com – up to 10K free requests, no credit card required.
  2. Get your API key. Copy your Web Data API key from your Web Data API subscription on the dashboard. Older plans have a basic authentication token, which also works (see Authentication).
  3. Download Node.js 18+ from https://nodejs.org.
  4. Get MCP client like Claude Desktop, Cursor, Windsurf or other MCP-compatible tools.
  5. Configure the MCP server in your AI client (see configuration examples below).

Connecting to Decodo's MCP server

Open your preferred MCP client and add the following configuration (see examples for Claude Code, Cursor, Windsurf bellow):

{

"mcpServers": { "Decodo": { "url": "https://mcp.decodo.com/mcp", "headers": { "Authorization": "Bearer " } } } }

Authentication
CredentialWhere to get itHosted server headerLocal server env
API key (recommended)Web Data API subscription on the dashboardAuthorization: Bearer SCRAPER_API_TOKEN=
Basic authentication token (older plans)Web Scraping API page on the dashboardAuthorization: Basic SCRAPER_API_TOKEN=

The local server reads either credential from SCRAPER_API_TOKEN and works out which one it got.

Claude Desktop
  1. Open Claude Desktop → Settings → Developer → Edit Config.
  2. Add to claude_desktop_config.json:
{

"mcpServers": { "Decodo": { "command": "npx", "args": ["-y", "@decodo/mcp-server"], "env": { "SCRAPER_API_TOKEN": " ", "TOOLSETS": "web,ai" } } } }

  1. Save and restart Claude Desktop.
Cursor
  1. Open Settings → MCP.
  2. Click Add a new global MCP server (opens mcp.json).
  3. Add the same configuration as above.
  4. Save — look for a green status indicator next to Decodo.
Windsurf
  1. Open Settings → Windsurf Settings.
  2. Scroll to Cascade → Add custom server + (opens mcp_config.json).
  3. Add the same configuration as above.
  4. Save and restart Windsurf.
eve (Vercel)
  1. In your eve agent project, run eve add connection/decodo, or create agent/connections/decodo.ts:
import { always } from 'eve/tools/approval';

import { defineMcpClientConnection } from 'eve/connections';

export default defineMcpClientConnection({ url: 'https://mcp.decodo.com/mcp', description: 'Decodo: scrape web pages as Markdown, search the web, map and crawl sites, and read e-commerce and YouTube data.', headers: () => ({ Authorization: Bearer ${process.env.DECODO_API_KEY!}, }), approval: always(), });

  1. Set DECODO_API_KEY= in the agent's server-side environment (.env.local locally, project env vars on Vercel).
  2. approval: always() asks before every call, since calls use your plan; relax it with eve's approval rules if you prefer.

Test your setup

Once connected, try this prompt in your client:

▎ "Scrape the titles of the top 5 articles from Hacker News"

You should get a structured list back within seconds. If you see an auth error, double-check your API key on the dashboard.

Local development

Only needed if you want to change the server code.

Build and run the server from this repository

Prerequisites
Step-by-step guide
  1. Clone this repository:
git clone https://github.com/Decodo/mcp-server
  1. Run the following commands in the terminal:
cd mcp-server

npm install npm run build

  1. Take note of your build location:
cd build/

pwd

Adding index.js to the end of this directory, your build file location should look something like this:

/Users/your.user/projects/mcp-server/build/index.js
  1. Update your MCP client with the server information:
{

"mcpServers": { "decodo-mcp": { "command": "node", "args": ["/Users/your.user/projects/mcp-server/build/index.js"], "env": { "SCRAPER_API_TOKEN": " " } } } }

Toolsets

Tools are organized into toolsets. Which ones you get depends on how you connect.

Claude (official connector)

The Decodo connector in Claude's connector directory includes the Web Data API tools only:

ToolsetTools
webscrape_as_markdown, screenshot, map, crawl_start, crawl_status, crawl_results, crawl_cancel
searchsearch
Any MCP client

You can selectively enable specific toolsets by passing a comma-separated list via the toolsets query parameter:

    "Decodo MCP Server": {

"url": "https://mcp.decodo.com/mcp?toolsets=web,ai", "headers": { "Authorization": "Bearer " } }

When no toolsets are specified, all tools are registered.

ToolsetTools
webscrape_as_markdown, screenshot, map, crawl_start, crawl_status, crawl_results, crawl_cancel
searchsearch, google_search, google_ads, google_lens, google_travel_hotels, bing_search
ecommerceamazon_search, amazon_product, amazon_pricing, amazon_sellers, amazon_bestsellers, walmart_search, walmart_product, target_search, target_product, tiktok_shop_search, tiktok_shop_product, tiktok_shop_url
social_mediatiktok_post, youtube_metadata, youtube_channel, youtube_subtitles, youtube_search
aichatgpt, perplexity, google_ai_mode

Tools

The server exposes the following tools:

ToolDescriptionExample prompt

Only the beginning is shown; read the rest in the repo

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