"Searching for specific library documentation and implementation code in a codebase" matching MCP connectors:
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Web research across search, Reddit, YouTube, local businesses, reviews, ad libraries and more. Every answer carries line-numbered citations; up to 1,000 rows per call without loading them into context.
Search YouTube and read video, channel and transcript data as JSON. No Google Cloud project.
Google Hotels search: rates, ratings, amenities and what each booking site charges, as JSON.
DuckDuckGo search as JSON. Ranked results, ads in their own array, 37 regions.
Amazon keyword search, product details, seller profiles and seller catalogues, as structured JSON.
Indeed job listings by keyword and location, and full postings, as structured JSON.
Yellow Pages local business search and full business listings, as structured JSON.
The public product catalogue and collections of any Shopify storefront, as structured JSON.
Google Images results with source pages, thumbnails and full-resolution URLs, as JSON.
Yelp business search, place details and the full review feed, as structured JSON.
Public Instagram profiles and post feeds by handle, with hashtags and mentions parsed.
Booking.com stays by destination and dates, and full property details, as structured JSON.
Fetch any public web page through managed proxies, with optional JS rendering and extraction rules.
Google Scholar search results, citation counts and citation export formats, as structured JSON.
Walmart search, product pages and customer reviews on walmart.com and walmart.ca, as JSON.
Zillow for-sale, for-rent and sold listings, and full property details, as structured JSON.
Public TikTok profiles, videos, comments and keyword search as JSON. No developer account.
Google Maps places, reviews, contributor history, photos and posts as JSON. No Google Cloud.
Airbnb stays by location and dates, and full listing details, as structured JSON.
An MCP server that gives any LLM or agent clean YouTube transcripts on demand: a single video, a whole channel, or a playlist, plus AI cleanup of auto-generated captions. API-key auth, credit-based, same backend as the public v1 API. Get a free API key with 25 free credits at youtubetranscriptdownload.com/account.
