CrawlForge MCP Server
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- AlicenseNot gradedqualityCmaintenanceEnables agents to scrape, crawl, map, search, and extract web pages as clean markdown or structured JSON directly through MCP tools.AGPL 3.0
- AlicenseNot gradedqualityBmaintenanceEnables MCP-compatible AI agents to search, scrape, crawl, map, and interact with live web pages, returning clean, structured, agent-ready content. It also supports recurring page monitoring, autonomous deep research, and credit-usage checks.102,401 npm1MIT
- AlicenseAqualityAmaintenanceEnables AI agents to scrape web pages into Markdown, text, HTML, JSON, PDFs, screenshots, and structured data, while managing batch scraping jobs, persistent browser sessions, usage/request history, and docs lookup through native MCP tools.25227 npmApache 2.0
- FlicenseNot gradedqualityCmaintenanceProvides 42+ MCP tools for browser automation, web scraping, and search, enabling AI agents like Claude and Cursor to browse, extract data, and run research agents on the live web.9-
- FlicenseNot gradedqualityAmaintenanceEnables language models to perform AI-powered web scraping, structured extraction, search, multi-page crawling, schema generation, monitoring, and account queries through MCP tools.-
- FlicenseNot gradedqualityAmaintenanceEnables language models to perform AI-powered web scraping, content extraction, search, crawling, schema generation, and scheduled monitoring through MCP tools.-
TDQS
Scored across 31 tools
The set contains a large cluster of page-reading tools (scrape, extract_text, extract_content, fetch_url, extract_metadata, extract_links) whose boundaries are clarified only by dense 'not for' notes. Search and research tools (search_web, deep_research, agent) are more distinct, but an agent can still easily misselect among extraction variants.
Naming mixes verb_noun (extract_text, scrape_structured), noun_verb (reddit_search, batch_scrape), and bare nouns (agent, localization, stealth_mode). Families like extract_* and scrape_* are internally consistent, but the overall convention is mixed and only readable with effort.
31 tools is heavy for a scraping and research server, and the rubric flags 25+ as too many. Many tools are narrow variants (extract_text vs extract_content vs scrape), so the count reflects overlap more than distinct capabilities.
The surface covers search, fetching, extraction, browser interaction, research synthesis, monitoring, and result retrieval, with few obvious gaps. Minor missing pieces such as job cancellation or account/credit status are workaroundable and do not block core workflows.