Decodo MCP Server

<p align="center"> <a href="https://dashboard.decodo.com/register?page=scrapers%2Fpricing&utm_source=github.com&utm_medium=social&utm_campaign=scraper_api_github"><img src="https://github.com/user-attachments/assets/13b08523-32b0-4c85-8e99-580d7c2a9055"></a>

This repository provides a Model Context Protocol (MCP) server that connects LLMs and applications to Decodo's platform. The server facilitates integration between MCP-compatible clients and Decodo's services, streamlining access to our tools and capabilities.

Features

• Easy web data access. Simplified retrieval of information from websites and online sources.
• Geographic flexibility. Access content regardless of regional restrictions.
• Enhanced privacy. Browse and collect data while maintaining anonymity.
• Reliable scraping. Advanced techniques to avoid detection and blocks.
• Simple integration. Seamless setup with popular MCP clients like Claude Desktop, Cursor, and Windsurf.

Quick start

1. Start a Decodo Web Advanced plan (free trials available) via dashboard.

2. Copy the auto-generated basic authentication token in the Web Advanced page.

3. Open up your favourite MCP client and add the following configuration:

{
  "Decodo": {
    "url": "https://mcp.decodo.com/mcp",
    "headers": {
      "Authorization": "Basic <web_advanced_token>"
    }
  }
}

Running the MCP server locally (manual)

<details>

Prerequisites

• Node.js 18.0+
• An MCP client - popular choices are Claude Desktop and Cursor

Step-by-step guide

1. Clone this repository:

git clone https://github.com/Decodo/decodo-mcp-server

2. Run the following commands in the terminal:

cd decodo-mcp-server
npm install
npm run build

3. 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/decodo-mcp/build/index.js

4. Update your MCP client with the server information:

</details>

Tools

The server exposes the following tools:

Tool	Description	Example prompt
scrape_as_markdown	Scrapes any target URL, expects a URL to be given via prompt. Returns results in Markdown.	Scrape peacock.com from a US IP address and tell me the pricing.
google_search_parsed	Scrapes Google Search for a given query, and returns parsed results.	Scrape Google Search for shoes and tell me the top position.
amazon_search_parsed	Scrapes Amazon Search for a given query, and returns parsed results.	Scrape Amazon Search for toothbrushes.
reddit_post	Scrapes a specific Reddit post for a given query, and returns parsed results.	Scrape the following Reddit post: https://www.reddit.com/r/horseracing/comments/1nsrn3/
reddit_subreddit	Scrapes a specific Reddit subreddit for a given query, and returns parsed results.	Scrape the top 5 posts on r/Python this week.

Parameters

The following parameters are inferred from user prompts:

Parameter	Description
jsRender	Renders target URL in a headless browser.
geo	Sets the country from which the request will originate.
locale	Sets the locale of the request.
tokenLimit	Truncates the response content up to this limit. Useful if the context window is small.
fullResponse	Skips automatic truncation and returns full content. If context window is small, may throw warnings.

Examples

Scraping geo-restricted content

Query your AI agent with the following prompt:

Scrape peacock.com from a German IP address and tell me the pricing.

This prompt will say that peacock.com is geo-restricted. To bypass the geo-restriction:

Scrape peacock.com from a US IP address and tell me the pricing.

Limiting number of response tokens

If your agent has a small context window, the content returned from scraping will be automatically truncated, in order to avoid context-overflow. You can increase the number of tokens returned within your prompt:

Scrape hacker news, return 50k tokens.

If your agent has a big context window, tell it to return full content:

Scrape hacker news, return full content.

Related repositories

Web Scraping API

Google Maps scraper

Amazon scraper

License

All code is released under the MIT License.