Decodo MCP Server

This repository provides a Model Context Protocol (MCP) server that connects LLMs and applicationsto Decodo's platform. The server facilitates integration between MCP-compatible clients and Decodo'sservices, 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, andWindsurf.

Connecting to Decodo's MCP server

Go to decodo.com and start a Web Scraping API plan (free trials available).
Once your plan has started, obtain a Web Scraping API basic authentication token from the dashboard.
Open your preferred MCP client and add the following configuration:

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

Running the MCP server locally

Prerequisites

Node.js 18.0+
An MCP client - popular choices are Claude Desktop andCursor

Step-by-step guide

Clone this repository:

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

Run the following commands in the terminal:

cd decodo-mcp-server
npm install
npm run build

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 likethis:

/Users/your.user/projects/decodo-mcp/build/index.js

Update your MCP client with the server information:

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.
`screenshot`	Captures a screenshot of any webpage and returns it as a PNG image.	Take a screenshot of github.com from a US IP address.
`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 automaticallytruncated, in order to avoid context-overflow. You can increase the number of tokens returned withinyour 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.

Decodo MCP Server