Most servers enter the MCP registry with zero stars and a template description. io.github.D4Vinci/Scrapling arrived with 19,392 stars, 1,300 forks, and years of active development. It scored 92 — the highest trust score of any new entry we have recorded — and became the first server to enter the top 25 at position #1.
What Scrapling Actually Is
Scrapling is not an MCP-native project. It is a full-featured Python web scraping framework that handles everything from single HTTP requests to large-scale concurrent crawls. Built by D4Vinci, a developer with a security and scraping background, it has been under active development well before MCP existed.
The framework offers three fetcher tiers, each designed for different levels of target resistance:
- Fetcher — plain HTTP with TLS fingerprint spoofing and HTTP/3 support. Fast, lightweight, works against most sites.
- DynamicFetcher — Playwright/Chromium for JavaScript-rendered pages. Handles SPAs and dynamic content.
- StealthyFetcher — full anti-bot bypass with automatic Cloudflare Turnstile solving. The heavy artillery.
Beyond the fetchers, Scrapling includes adaptive element relocation — a system that tracks DOM elements even when website structures change between visits, using similarity algorithms rather than brittle CSS selectors. A Scrapy-like spider framework supports async parse callbacks, per-domain throttling, pause/resume checkpoints, and streaming mode. The project claims 10x faster JSON serialization than stdlib and 92% test coverage. BSD-3-Clause license.
The MCP Integration
The MCP layer sits on top of the scraping engine. Install with pip install "scrapling[ai]" and the server pre-extracts and structures web content before passing it to the AI assistant. Instead of dumping raw HTML into Claude's context window, Scrapling parses, filters, and formats the data first — reducing token consumption significantly.
This is the interesting pattern: the MCP server is not the product. It is a distribution channel for an already-proven tool. Scrapling's value was established long before MCP — what MCP adds is discoverability by AI agents and a standardized interface for tool invocation.
Why This Matters
The MCP registry has 2,822 servers. Most are small, single-developer projects built specifically for the protocol. Scrapling represents a different category: established tools adding MCP as an interface. When a project with 19,000 stars decides the protocol is worth supporting, it sends a signal to every other library maintainer watching from the sidelines.
This is the pattern that drives protocol adoption. Not greenfield projects — those will always appear. The inflection point comes when existing tools with existing users decide the integration is worth the effort. Scrapling is the most visible example yet.
Score: 92. No flags. BSD-3-Clause.
Sources: D4Vinci — GitHub · Scrapling — repo · Scorecard: io.github.D4Vinci (score 92)