hasdata-mcp

[](https://docs.hasdata.com/mcp-server/?utm_source=github&utm_medium=syndication&utm_campaign=mcp&utm_content=hasdata-mcp-readme) # HasData MCP Server [](https://modelcontextprotocol.io) [](#tools) - [Prompts and resources](#prompts-and-resources) [](https://mcp.hasdata.com/mcp) [](https://glama.ai/mcp/servers/HasData/hasdata-mcp) [](https://lobehub.com/mcp/hasdata-hasdata-mcp) Model Context Protocol server for [HasData](https://hasdata.com/?utm_source=github&utm_medium=syndication&utm_campaign=mcp&utm_content=hasdata-mcp-readme) scraping and search APIs. Connect any MCP-compatible AI client to ready-to-use data tools across search, e-commerce, maps, travel, real estate, jobs and social, or pick a single site from the [standalone servers](#one-site-per-server). --- ## 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-key` header. Get it from the [HasData dashboard](https://app.hasdata.com?utm_source=github&utm_medium=syndication&utm_campaign=mcp&utm_content=hasdata-mcp-readme). **Claude Desktop / Claude.ai.** Go to **Settings → Connectors → Add custom connector** and enter: ``` https://mcp.hasdata.com/mcp ``` You'll be prompted to sign in with OAuth. Prefer an API key? Add to `claude_desktop_config.json` instead: ```json { "mcpServers": { "hasdata": { "type": "http", "url": "https://mcp.hasdata.com/mcp", "headers": { "x-api-key": "<your-api-key>" } } } } ``` **Claude Code.** With OAuth: ```bash claude mcp add --transport http hasdata https://mcp.hasdata.com/mcp claude mcp login hasdata ``` (or run `/mcp` inside a session and pick **Authenticate**). With an API key: ```bash claude mcp add --transport http hasdata https://mcp.hasdata.com/mcp --header "x-api-key: <your-api-key>" ``` **Cursor.** Add to `~/.cursor/mcp.json` or `.cursor/mcp.json`: ```json { "mcpServers": { "hasdata": { "url": "https://mcp.hasdata.com/mcp", "headers": { "x-api-key": "<your-api-key>" } } } } ``` **Cline.** Add the hasdata server to your Cline MCP settings file: ```json { "mcpServers": { "hasdata": { "url": "https://mcp.hasdata.com/mcp", "type": "streamableHttp", "headers": { "x-api-key": "<your-api-key>" }, "disabled": false } } } ``` **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`. The `apis` key for every site is listed in [One site per server](#one-site-per-server). --- ## What you can do with it ``` "Find the cheapest flights from NYC to London next month and compare prices." "Monitor iPhone 16 prices on Amazon across the last 7 days." "Pull all 5-star reviews for this product ASIN and summarize the common themes." "Get me all software engineer job postings in Berlin from Indeed and Glassdoor." "Find the top-rated Italian restaurants in Chicago using Google Maps." "What are people searching for related to 'AI agents' on Google Trends this week?" ``` 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](https://modelcontextprotocol.io/specification/2025-03-26/basic/transports#streamable-http) will work. --- ## Tools Tools across search, e-commerce, maps, travel, real estate, jobs, social, and more. Every group below also ships as standalone servers, one per site, with the same tools behind a shorter URL. ### Web | Tool | Description | |---|---| | `web_scraping_web_scraping` | Scrape any URL with optional parameters | Standalone server for this group: [web-scraping-mcp](https://github.com/HasData/web-scraping-mcp). ### Google | 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_scholar_case_law` | Full text of a Scholar case law opinion | | `google_trends_search` | Google Trends data | | `google_travel_flights` | Google Flights results | | `google_travel_flights_deals` | Flight deals from a plain-language trip description | | `google_travel_hotels` | Google Hotels results | Standalone servers for this group: [google-search-mcp](https://github.com/HasData/google-search-mcp) (all `google_serp_*` tools), [google-images-mcp](https://github.com/HasData/google-images-mcp), [google-maps-mcp](https://github.com/HasData/google-maps-mcp), [google-scholar-mcp](https://github.com/HasData/google-scholar-mcp), [google-trends-mcp](https://github.com/HasData/google-trends-mcp), [google-flights-mcp](https://github.com/HasData/google-flights-mcp), [google-flights-deals-mcp](https://github.com/HasData/google-flights-deals-mcp), [google-hotels-mcp](https://github.com/HasData/google-hotels-mcp). ### Other search engines | Tool | Description | |---|---| | `bing_serp` | Bing Search results | | `duckduckgo_serp` | DuckDuckGo Search results | Standalone servers for this group: [bing-mcp](https://github.com/HasData/bing-mcp), [duckduckgo-mcp](https://github.com/HasData/duckduckgo-mcp). ### AI answer engines | Tool | Description | |---|---| | `chatgpt_chat` | ChatGPT answer with the web sources it cited | | `perplexity_chat` | Perplexity answer with its citations | Standalone server for this group: [chatgpt-mcp](https://github.com/HasData/chatgpt-mcp). ### 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 | Standalone servers for this group: [amazon-mcp](https://github.com/HasData/amazon-mcp), [walmart-mcp](https://github.com/HasData/walmart-mcp), [shopify-mcp](https://github.com/HasData/shopify-mcp). ### Real Estate | Tool | Description | |---|---| | `zillow_listing` | Zillow listing search | | `zillow_property` | Zillow property details | | `redfin_listing` | Redfin listing search | | `redfin_property` | Redfin property details | Standalone servers for this group: [zillow-mcp](https://github.com/HasData/zillow-mcp), [redfin-mcp](https://github.com/HasData/redfin-mcp). ### Jobs | Tool | Description | |---|---| | `indeed_listing` | Indeed job listings | | `indeed_job` | Indeed job details | | `glassdoor_listing` | Glassdoor job listings | | `glassdoor_job` | Glassdoor job details | Standalone servers for this group: [indeed-mcp](https://github.com/HasData/indeed-mcp), [glassdoor-mcp](https://github.com/HasData/glassdoor-mcp). ### 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 | Standalone servers for this group: [airbnb-mcp](https://github.com/HasData/airbnb-mcp), [booking-mcp](https://github.com/HasData/booking-mcp), [yelp-mcp](https://github.com/HasData/yelp-mcp), [yellowpages-mcp](https://github.com/HasData/yellowpages-mcp). ### Social & Video | Tool | Description | |---|---| | `facebook_profile` | Facebook public page or profile details | | `instagram_profile` | Instagram public profile details | | `instagram_posts` | Instagram public account posts | | `instagram_comments` | Comments on an Instagram post | | `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 | Standalone servers for this group: [facebook-mcp](https://github.com/HasData/facebook-mcp), [instagram-mcp](https://github.com/HasData/instagram-mcp), [tiktok-mcp](https://github.com/HasData/tiktok-mcp), [youtube-mcp](https://github.com/HasData/youtube-mcp). --- ## Prompts and resources The server ships 20 prompts, ready-made workflows a client can offer instead of making the user compose a tool call. | Prompt | What it does | | --- | --- | | `google_search` | Search Google and summarize the top organic results. | | `google_news` | Find recent news coverage on a topic. | | `google_shopping` | Compare product offers from Google Shopping. | | `google_short_videos` | Find short videos about a topic. | | `google_ai_mode` | Get Google AI Mode's answer with its sources. | | `google_maps_search` | Find businesses and places on Google Maps. | | `google_maps_reviews` | Summarize what reviewers say about a place. | | `zillow_listings` | Find homes for sale, for rent or sold in an area. | | `zillow_property` | Get the full details of one Zillow property. | | `google_trends` | See how interest in a topic changes over time. | | `instagram_profile` | Look up a public Instagram profile. | | `scrape_web_page` | Fetch any public web page and summarize its content. | | `indeed_hiring_map` | See where a role is being hired for and at what salary. | | `youtube_search` | Find YouTube videos and channels about a topic. | | `youtube_transcript` | Summarize what is said in a YouTube video. | | `tiktok_trend` | See what is being posted on TikTok about a topic. | | `tiktok_profile` | Look up a public TikTok profile. | | `amazon_product_research` | Compare Amazon offers for a product by price, rating and review count. | | `yelp_reputation` | Pull a business's rating and recent review themes. | | `google_flights` | Compare flight options between two airports. | Alongside them the server exposes 151 resources, one per parameter whose accepted values are a fixed list, across 28 services. Reading one is cheaper than learning the vocabulary from a rejected call, and it costs no credits. Each URI is `hasdata://<service>/<parameter>`, and `resources/list` returns the current set. | Service | Parameters with a fixed list | | --- | ---: | | `redfin` | 30 | | `booking` | 16 | | `zillow` | 11 | | `google_serp` | 10 | | `youtube` | 10 | | `amazon` | 7 | | `google_travel` | 7 | | `bing` | 5 | | `duckduckgo` | 5 | | `glassdoor` | 5 | | `google_images` | 5 | | `google_trends` | 5 | | `google_maps` | 4 | | `google_scholar` | 4 | | `google_travel_flights` | 4 | | `indeed` | 4 | | `google_travel_flights_deals` | 3 | | `walmart` | 3 | | `web_scraping` | 2 | | `yellowpages` | 2 | | `yelp` | 2 | | `amazon_reviews` | 1 | | `amazon_search` | 1 | | `facebook` | 1 | | `google_travel_hotels` | 1 | | `tiktok` | 1 | | `walmart_reviews` | 1 | | `walmart_search` | 1 | Both lists are served without an API key, so a client can read them before a user has signed up. ## One site per server If your agent only needs one site, use its standalone server instead of the full set. Each one is the same hosted endpoint filtered with the `apis` parameter, so the tools, the schemas and the billing are identical, and the model sees a short tool list. Every standalone server also ships as an npm and a PyPI package for clients that want a local stdio launcher, and is listed in the [official MCP registry](https://registry.modelcontextprotocol.io) under `com.hasdata/<name>`. | Site | Repository | npm | PyPI | `apis` key | |---|---|---|---|---| | Airbnb | [airbnb-mcp](https://github.com/HasData/airbnb-mcp) | `@hasdata/airbnb-mcp` | `hasdata-airbnb-mcp` | `airbnb` | | Amazon | [amazon-mcp](https://github.com/HasData/amazon-mcp) | `@hasdata/amazon-mcp` | `hasdata-amazon-mcp` | `amazon` | | Bing | [bing-mcp](https://github.com/HasData/bing-mcp) | `@hasdata/bing-mcp` | `hasdata-bing-mcp` | `bing` | | Booking.com | [booking-mcp](https://github.com/HasData/booking-mcp) | `@hasdata/booking-mcp` | `hasdata-booking-mcp` | `booking` | | DuckDuckGo | [duckduckgo-mcp](https://github.com/HasData/duckduckgo-mcp) | `@hasdata/duckduckgo-mcp` | `hasdata-duckduckgo-mcp` | `duckduckgo` | | Facebook | [facebook-mcp](https://github.com/HasData/facebook-mcp) | `@hasdata/facebook-mcp` | `hasdata-facebook-mcp` | `facebook` | | Glassdoor | [glassdoor-mcp](https://github.com/HasData/glassdoor-mcp) | `@hasdata/glassdoor-mcp` | `hasdata-glassdoor-mcp` | `glassdoor` | | Google Flights | [google-flights-mcp](https://github.com/HasData/google-flights-mcp) | `@hasdata/google-flights-mcp` | `hasdata-google-flights-mcp` | `google_travel_flights` | | Google Hotels | [google-hotels-mcp](https://github.com/HasData/google-hotels-mcp) | `@hasdata/google-hotels-mcp` | `hasdata-google-hotels-mcp` | `google_travel_hotels` | | Google Images | [google-images-mcp](https://github.com/HasData/google-images-mcp) | `@hasdata/google-images-mcp` | `hasdata-google-images-mcp` | `google_images` | | Google Maps | [google-maps-mcp](https://github.com/HasData/google-maps-mcp) | `@hasdata/google-maps-mcp` | `hasdata-google-maps-mcp` | `google_maps` | | Google Scholar | [google-scholar-mcp](https://github.com/HasData/google-scholar-mcp) | `@hasdata/google-scholar-mcp` | `hasdata-google-scholar-mcp` | `google_scholar` | | Google Search | [google-search-mcp](https://github.com/HasData/google-search-mcp) | `@hasdata/google-search-mcp` | `hasdata-google-search-mcp` | `google_serp` | | Google Trends | [google-trends-mcp](https://github.com/HasData/google-trends-mcp) | `@hasdata/google-trends-mcp` | `hasdata-google-trends-mcp` | `google_trends` | | Indeed | [indeed-mcp](https://github.com/HasData/indeed-mcp) | `@hasdata/indeed-mcp` | `hasdata-indeed-mcp` | `indeed` | | Instagram | [instagram-mcp](https://github.com/HasData/instagram-mcp) | `@hasdata/instagram-mcp` | `hasdata-instagram-mcp` | `instagram` | | Redfin | [redfin-mcp](https://github.com/HasData/redfin-mcp) | `@hasdata/redfin-mcp` | `hasdata-redfin-mcp` | `redfin` | | Shopify | [shopify-mcp](https://github.com/HasData/shopify-mcp) | `@hasdata/shopify-mcp` | `hasdata-shopify-mcp` | `shopify` | | TikTok | [tiktok-mcp](https://github.com/HasData/tiktok-mcp) | `@hasdata/tiktok-mcp` | `hasdata-tiktok-mcp` | `tiktok` | | Walmart | [walmart-mcp](https://github.com/HasData/walmart-mcp) | `@hasdata/walmart-mcp` | `hasdata-walmart-mcp` | `walmart` | | Web Scraping | [web-scraping-mcp](https://github.com/HasData/web-scraping-mcp) | `@hasdata/web-scraping-mcp` | `hasdata-web-scraping-mcp` | `web_scraping` | | Yellow Pages | [yellowpages-mcp](https://github.com/HasData/yellowpages-mcp) | `@hasdata/yellowpages-mcp` | `hasdata-yellowpages-mcp` | `yellowpages` | | Yelp | [yelp-mcp](https://github.com/HasData/yelp-mcp) | `@hasdata/yelp-mcp` | `hasdata-yelp-mcp` | `yelp` | | YouTube | [youtube-mcp](https://github.com/HasData/youtube-mcp) | `@hasdata/youtube-mcp` | `hasdata-youtube-mcp` | `youtube` | | Zillow | [zillow-mcp](https://github.com/HasData/zillow-mcp) | `@hasdata/zillow-mcp` | `hasdata-zillow-mcp` | `zillow` | The remote URL for any of them is `https://mcp.hasdata.com/mcp?apis=<key>`, and keys can be combined with commas. --- ## 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_product` knows about ASINs, variants, and seller data. `google_maps_place` knows 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-key` header 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](https://hasdata.com/prices?utm_source=github&utm_medium=syndication&utm_campaign=mcp&utm_content=hasdata-mcp-readme) for details. --- ## Resources - [HasData API Docs](https://docs.hasdata.com/mcp-server/?utm_source=github&utm_medium=syndication&utm_campaign=mcp&utm_content=hasdata-mcp-readme) - [Dashboard](https://app.hasdata.com?utm_source=github&utm_medium=syndication&utm_campaign=mcp&utm_content=hasdata-mcp-readme) - [support@hasdata.com](mailto:support@hasdata.com) - [Discord](https://discord.com/invite/kckPcEdGWs)