subimpact-data-mcp
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- AlicenseAqualityAmaintenance17 data tools for AI agents: Google Flights, Hotels, Shopping, News, Images, Videos, Jobs and Trends, Google Maps leads, Ads Transparency, YouTube transcripts, app reviews and AI visibility. Each tool runs an AutomationNation Actor on your own Apify account.18MIT
- AlicenseAqualityAmaintenance21 web-data tools for AI agents: jobs, hiring signals, news, research and field trends, reviews, Reddit leads, contacts, property, Shopify, events.25473 npmMIT

HasData MCP Serverofficial
AlicenseAqualityAmaintenanceDirect access to 40+ scraping and search tools. Extract structured data from Google (Search, Maps, Trends), Amazon, Airbnb, Social Media, and any web page directly into your AI agent.6320MIT- AlicenseNot gradedqualityCmaintenanceEnables AI agents to search and retrieve government contracts, job postings, LinkedIn profiles, YC startups, contact details, tech stacks, PDF text, and Google Trends through 13 integrated tools. It returns compact JSON, handles long-running queries with progress and run results paging, and runs the underlying scrapers on the user's Apify account.MIT

honestkit-mcpofficial
AlicenseNot gradedqualityCmaintenanceEnables AI agents to access fourteen web-data tools for scraping, SEO and site auditing, extraction, validation, enrichment, and screenshots through Apify actors. It runs those tools on the user's own Apify account via an API token.MIT
SerpKite MCPofficial
AlicenseNot gradedqualityBmaintenanceGives AI agents Google-backed web, news, maps, scholar, patent, shopping, image, video and autocomplete search, along with tools that convert public webpages and PDFs to Markdown, extract query-relevant passages from multiple URLs, and crawl or map sites.MIT
TDQS
Scored across 20 tools
Each tool targets a distinct platform or data source (TikTok, Eventbrite, YouTube, Google Maps, etc.), so most are easy to tell apart. There is some overlap between google_search, google_ai_mode and web_page_markdown (all involve Google search + content), and between google_jobs and company_career_jobs, which could occasionally confuse selection.
All names are snake_case, which is good, but conventions are mixed: some are bare platform names (substack, pinterest, youtube, bluesky) while others are descriptive action/resource names (google_search, news_mentions, get_run_results). The bare platform names lack an action verb, creating an inconsistent pattern across the set.
20 tools is on the heavy side of the 3-15 ideal, but this is a multi-scraper aggregator where each tool serves a genuinely different data source, so most earn their place. The single utility tool (get_run_results) sensibly supports the async scraping workflow.
The surface covers a broad range of scraping domains (social, jobs, local, SEO, ads, news, web) plus get_run_results for handling long-running runs, giving agents full fetch-to-retrieve workflows. Coverage is wide though not systematic per-domain, so gaps are minor and workable.