Hasdata MCP README
The full upstream README, mirrored here for reference. Install config, tool schemas, adoption signals, and an original overview live on the Hasdata MCP listing page.
HasData MCP Server
Model Context Protocol server for HasData scraping and search APIs. Connect any MCP-compatible AI client to 62 ready-to-use data tools.
Quick Start
Two ways to authenticate:
- OAuth (recommended). Connect the server and sign in with your HasData account in the browser — no key to copy around.
- API key. Send your key in the
x-api-keyheader. Get it from the HasData dashboard.
Claude Desktop / Claude.ai. Go to Settings → Connectors → Add custom connector and enter:
You'll be prompted to sign in with OAuth. Prefer an API key? Add to claude_desktop_config.json instead:
Claude Code. With OAuth:
(or run /mcp inside a session and pick Authenticate). With an API key:
Cursor. Add to ~/.cursor/mcp.json or .cursor/mcp.json:
Cline. Add the hasdata server to your Cline MCP settings file:
Any other MCP client that supports streamable HTTP:
| Field | Value |
|---|---|
| URL | https://mcp.hasdata.com/mcp |
| Transport | HTTP (streamable) |
| Auth | OAuth sign-in, or header x-api-key: <your-api-key> |
Requests without OAuth or a valid key return 401 Unauthorized.
Need fewer tools in your client? Limit the exposed APIs with the apis query parameter, e.g. https://mcp.hasdata.com/mcp?apis=amazon,google_maps.
What you can do with it
No scraping code. No proxies to manage. No parsing logic. Just ask.
Compatible clients
| Client | Supported |
|---|---|
| Claude Desktop | ✅ |
| Claude Code | ✅ |
| Claude.ai (web) | ✅ |
| Cursor | ✅ |
| Windsurf | ✅ |
| VS Code (GitHub Copilot) | ✅ |
| Gemini CLI | ✅ |
| Custom agents (OpenAI, LangChain, etc.) | ✅ |
Any client that supports the MCP streamable HTTP transport will work.
Tools
62 tools across search, e-commerce, maps, travel, real estate, jobs, social, and more.
Web
| Tool | Description |
|---|---|
web_scraping_web_scraping | Scrape any URL with optional parameters |
| Tool | Description |
|---|---|
google_serp_serp | Google Search results |
google_serp_serp_light | Google Search results (lightweight) |
google_serp_news | Google News results |
google_serp_shopping | Google Shopping results |
google_serp_events | Google Events results |
google_serp_product | Google product details |
google_serp_immersive_product | Google immersive product details |
google_serp_ai_overview | Google AI Overview results |
google_serp_ai_mode | Google AI Mode results |
google_serp_short_videos | Google Short Videos results (TikTok, Shorts, Reels) |
google_images_images | Google Image Search results |
google_maps_search | Google Maps search |
google_maps_place | Place details by placeId |
google_maps_reviews | Place reviews |
google_maps_photos | Place photos |
google_maps_posts | Place posts (offers, events, announcements) |
google_maps_contributor_reviews | Reviews by contributor ID |
google_scholar_scholar | Google Scholar search results |
google_scholar_cite | Citation formats for a Scholar result |
google_trends_search | Google Trends data |
google_travel_flights | Google Flights results |
google_travel_hotels | Google Hotels results |
Other search engines
| Tool | Description |
|---|---|
bing_serp | Bing Search results |
duckduckgo_serp | DuckDuckGo Search results |
E-commerce
| Tool | Description |
|---|---|
amazon_search | Amazon search results |
amazon_product | Amazon product details by ASIN |
amazon_reviews | Amazon product reviews |
amazon_seller | Amazon seller storefront profile |
amazon_seller_products | Amazon seller catalog products |
walmart_search | Walmart search results |
walmart_product | Walmart product details |
walmart_reviews | Walmart product reviews |
shopify_products | Shopify store products |
shopify_collections | Shopify store collections |
Real Estate
| Tool | Description |
|---|---|
zillow_listing | Zillow listing search |
zillow_property | Zillow property details |
redfin_listing | Redfin listing search |
redfin_property | Redfin property details |
Jobs
| Tool | Description |
|---|---|
indeed_listing | Indeed job listings |
indeed_job | Indeed job details |
glassdoor_listing | Glassdoor job listings |
glassdoor_job | Glassdoor job details |
Travel & Local
| Tool | Description |
|---|---|
airbnb_listing | Airbnb listings by location and dates |
airbnb_property | Airbnb listing details |
booking_search | Booking.com accommodation search |
booking_place | Booking.com property details |
yelp_search | Yelp search results |
yelp_place | Yelp place details |
yelp_reviews | Yelp place reviews |
yellowpages_search | YellowPages search results |
yellowpages_place | YellowPages place details |
Social & Video
| Tool | Description |
|---|---|
instagram_profile | Instagram public profile details |
instagram_posts | Instagram public account posts |
tiktok_profile | TikTok public profile details |
tiktok_posts | TikTok account videos |
tiktok_search | TikTok search for videos or users |
tiktok_comments | TikTok video comments |
youtube_search | YouTube search results |
youtube_video | YouTube video details |
youtube_channel | YouTube channel data |
youtube_transcript | YouTube video transcript |
Why HasData
A lot of scraping APIs hand you back raw HTML and call it a day. With JavaScript-heavy sites, half of them just time out. HasData's tools return parsed JSON specific to each site, so the model gets structured fields it can actually work with, not a blob of markup to wade through.
A few things worth knowing before you start:
- Each tool is site-specific.
amazon_productknows about ASINs, variants, and seller data.google_maps_placeknows about hours, coordinates, and ratings. You're not calling a generic scraper and hoping for the best. - It's a remote server. Nothing runs locally. No Node process, no version pinning, no cold starts on your machine.
- Credits work the same as the REST API. If you're already a HasData customer, your existing balance and rate limits apply here too.
- Two ways to authenticate. Sign in once with OAuth, or send the
x-api-keyheader on every call — both work against the same endpoint.
Use cases
Competitive intelligence. Point amazon_search and google_serp_shopping at the same query and let the model compare pricing, ranking, and review counts across both. Runs in one prompt.
Lead generation. google_maps_search by keyword and city returns business names, addresses, phone numbers, and ratings. Stack it with yellowpages_search for broader coverage.
Market research. google_trends_search plus google_serp_news in the same session gives you both the search volume signal and the editorial context behind it.
Real estate. zillow_listing accepts filters for beds, baths, price range, and listing type. The model can pull a filtered list and summarize it without you touching a browser.
Recruiting. indeed_listing and glassdoor_listing both take location and keyword. Run both and the model can deduplicate and rank by recency.
Travel. google_travel_flights returns structured itineraries with prices, stops, and duration. Combine it with airbnb_listing for a full trip plan in one conversation.
Billing
Each tool call uses HasData credits the same way a direct API call would. See Credits and Concurrency for details.