Decodo MCP server
io.github.Decodo/mcp-server·v1.7.0·37 starsEnable your AI agents to scrape and parse web content dynamically, including geo-restricted sites
not scanned yet
37 stars341 downloads/wk
Reviews
Write oneNobody has reviewed Decodo yet.
If you have run it, two minutes of your experience saves the next person an afternoon.
Decodo tools
No tool declarations could be read from the package source. They show once the server is installed.
How Decodo compares
Against every graded Maps and travel MCP server, from our own scans and uptime checks. Updated after each scan run.
- Safety score
- 94/100
- higher than 97% of 681 Maps and travel servers
- GitHub stars
- 37
- more than 95% of 324 Maps and travel servers
- Downloads a week
- 341
- more than 86% of 150 Maps and travel servers with a package
Release history: 9 versions in the registry since 2026-09-16, latest 2026-10-29, typically one every 3 days.
Install Decodo in Claude Code, Cursor or VS Code
Runs npx -y @decodo/mcp-server on your machine. Read the scan report first; the gateway never runs local packages.
claude mcp add mcp-server -- npx -y @decodo/mcp-server
What the publisher says
From the Decodo repository's README, as published. We do not edit it. Read it on GitHub
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), Reddit, TikTok, and YouTube (social media), and ChatGPT and Perplexity (AI search).
Global proxy infrastructure. 125M+ 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:
static training data.
- AI-powered web scraping – give LLMs the ability to collect fresh data instead of relying on
pipelines.
- RAG with live data – pull real-time Google, Bing, and AI search results into retrieval
without getting blocked.
- eCommerce intelligence – track product prices, listings, and sellers across marketplaces
TikTok, and YouTube.
- Social media data collection – gather posts, channels, and engagement data from Reddit,
websites.
- Travel and price aggregation – build tools that collect live pricing and availability across
Quick start
Shortened. The full README is on GitHub.
Nothing above is checked by us. What we check is on the safety report.
Decodo: common questions
- Is Decodo MCP server safe?
- Yes, by our scan: it is graded A (94/100). Read the Decodo safety report
- How do I install Decodo?
- It runs on your machine. Copy the Claude Code, Cursor, VS Code or Claude Desktop config from the install section.
- Does Decodo need an API key?
- Not as far as the registry entry and our scan can tell: no credentials are declared or required.
- Is Decodo maintained?
- The last commit was 33 days ago (2026-10-02). The latest release is v1.7.0.
- What can I use instead of Decodo?
- Servers from other publishers that do the same job: Crawlbrulee MCP server, geo-score MCP server and Bharatlas MCP server.
- How does Decodo compare with other Maps and travel MCP servers?
- safety score 94/100 (higher than 97% of 681 Maps and travel servers); github stars 37 (more than 95% of 324 Maps and travel servers); downloads a week 341 (more than 86% of 150 Maps and travel servers with a package). Full comparison.
Alternatives to Decodo
Same job from other publishers: the closest match first, then the best rated.
- CrawlbruleeEU-native web scraping for AI agents. scrape pages, map sites, run background jobs, check usage.not reviewedGrowingB
- geo-scoreFree 0-100 score: can AI engines cite a site? Plus citation checks with your own API keys.not reviewedEstablishedB
- BharatlasQuery India's open geo data, and author collect maps: register a link, moderate, publish.not reviewedGrowingA
- NslookupDNS lookups, health reports, SSL certs, security scans, GEO scoring, uptime checksnot reviewedGrowingB
- France DataFrench public-data MCP: cross-ref health, demographics, business, geo & real-estate.not reviewedGrowingA
