Decodo MCP Server
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
| SCRAPER_API_TOKEN | Yes | Your Decodo Web Advanced basic authentication token from the dashboard |
Instructions
Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.
This server publishes no instructions, or was last inspected before Glama recorded them.
Capabilities
Features and capabilities supported by this server
Protocol revision2025-11-25
| Capability | Details |
|---|---|
| tools | {
"listChanged": true
} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| scrape_as_markdownB | Scrape the contents of a website and return Markdown-formatted results |
| screenshotA | Capture a screenshot of any webpage and return it as a PNG image |
| google_searchA | Scrape Google Search results with automatic parsing |
| google_adsB | Scrape Google Ads search results with automatic parsing |
| google_lensA | Scrape Google Lens image search results with automatic parsing |
| google_ai_modeA | Scrape Google AI Mode (Search with AI) results with automatic parsing |
| google_travel_hotelsB | Scrape Google Travel Hotels search results |
| amazon_searchB | Scrape Amazon Search results with automatic parsing |
| amazon_productA | Scrape Amazon Product page with automatic parsing |
| amazon_pricingC | Scrape Amazon Product pricing information with automatic parsing |
| amazon_sellersB | Scrape Amazon Seller information with automatic parsing |
| amazon_bestsellersB | Scrape Amazon Bestsellers list with automatic parsing |
| walmart_searchB | Scrape Walmart Search results with automatic parsing |
| walmart_productA | Scrape Walmart Product page with automatic parsing |
| target_searchB | Scrape Target Search results with automatic parsing |
| target_productB | Scrape Target Product page with automatic parsing |
| tiktok_postA | Scrape a TikTok post URL for structured data such as engagement, captions, and hashtags |
| tiktok_shop_searchA | Scrape TikTok Shop Search results with automatic parsing |
| tiktok_shop_productA | Scrape TikTok Shop Product page |
| tiktok_shop_urlB | Scrape TikTok Shop page by URL |
| youtube_metadataB | Scrape YouTube video metadata |
| youtube_channelB | Scrape YouTube channel videos with automatic parsing |
| youtube_subtitlesB | Scrape YouTube video subtitles |
| youtube_searchB | Search YouTube videos |
| reddit_postA | Scrape a specific Reddit post |
| reddit_subredditB | Scrape Reddit subreddit results with automatic parsing |
| reddit_userA | Scrape a Reddit user profile and their posts/comments |
| bing_searchB | Scrape Bing Search results with automatic parsing |
| chatgptB | Search and interact with ChatGPT for AI-powered responses and conversations |
| perplexityB | Search and interact with Perplexity for AI-powered responses and conversations |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
No prompts | |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
No resources | |
TDQS
Scored across 30 tools
Tools are mostly distinct by platform and data type, but some overlap exists within Google (search, ads, AI mode, Lens) and between AI chat tools (chatgpt, perplexity). Descriptions help differentiate.
Naming follows a consistent 'platform_what' pattern for most tools, but a few outliers like 'scrape_as_markdown', 'screenshot', 'chatgpt', and 'perplexity' break the pattern.
30 tools is at the high end of reasonable. The server covers many scraping targets, but could be split into per-platform servers. Not excessive, but bordering on heavy.
Covers major platforms (Amazon, Google, Reddit, TikTok, Walmart, YouTube) but missing others (Facebook, Twitter, Instagram) and some common scraping operations (reviews, comments, posts). Decent but not exhaustive.