DataForSEO MCP. Audit global rankings and market data from one prompt.
Gemini Works with every AI agent you already use
…and any MCP-compatible client
Just plug in your AI agents and start using Vinkius.
DataForSEO connects your AI agent to a massive set of global search engine data. Use it to track Google organic rankings, audit Google Maps nodes, monitor News publications, and research Amazon products directly from your chat interface.
It gives you deep, structured SERP data from ten sources (Bing, Yahoo, Yandex, Baidu, etc.)—all without leaving your agent.
What your AI agents can do
Amazon asin
Retrieves detailed e-commerce data for a specific Amazon product identifier (ASIN).
Baidu organic
Gathers local search results and ranking data from Baidu, specifically for mainland China.
Bing organic
Tracks keyword rankings and search results from the Microsoft Bing engine.
Analyzes Google Maps results to pull GPS coordinates, review counts, and GMB 3-pack node data for specific locations.
Retrieves positional data and rich snippets for keywords across ten search engines, including Google, Bing, and Baidu.
Pulls live pricing, Best Sellers Rank (BSR), and stock variables for any Amazon product using its ASIN.
Indexes visual vectors from Google Images to track how a brand appears in image searches.
Retrieves the newest PR and syndicated publication stamps from Google News, bypassing cached search results.
Runs localized searches using specific geographic strings to compare how the same query performs in different countries.
Ask AI about this MCP
Supported MCP Clients
Gemini Waiting for input…
DataForSEO MCP Server: 10 Tools for Global Search Data
Use these tools to pull structured data from ten global search engines, including local maps, e-commerce sites, and news sources.
019d7582amazon asin
Retrieves detailed e-commerce data for a specific Amazon product identifier (ASIN).
019d7582baidu organic
Gathers local search results and ranking data from Baidu, specifically for mainland China.
019d7582bing organic
Tracks keyword rankings and search results from the Microsoft Bing engine.
019d7582google images
Indexes visual search vectors to find images related to a keyword on Google Images.
019d7582google maps
Performs structured extraction of properties from Google Maps search results for local businesses.
019d7582google news
Fetches the latest PR and syndicated publication data from Google News.
019d7582google organic
Gets general search engine results and ranking data from Google.
019d7582yahoo organic
Identifies general search results and ranking data from the Yahoo search engine.
019d7582yandex organic
Retrieves search results and ranking data from the Yandex engine, focused on CIS regions.
019d7582youtube organic
Returns video ranking data and metadata counts from YouTube search results.
Choose How to Get Started
Build a custom MCP for your own tools, or connect a ready-made integration from our catalog.
Build Your Own
Turn any API into an MCP. Import a spec, define Agent Skills, or deploy with MCPFusion.
- Import from OpenAPI, Swagger, or YAML specs
- Create Agent Skills with progressive disclosure
- Deploy to edge with MCPFusion framework
- Built in DLP, auth, and compliance on every call
- Real time usage dashboard and cost metering
- Publish to catalog or keep private
Make Your AI Do More
Start with DataForSEO, then connect any of our 4,700+ other servers whenever your AI needs more. One click, no limits.
- Use this MCP plus 4,700+ others, all in one place
- Add new capabilities to your AI anytime you want
- Every connection is secured and compliant automatically
- Track usage and costs across all your servers
- Works with Claude, ChatGPT, Cursor, and more
- New servers added to the catalog every week
What you can do with this MCP connector
DataForSEO connects your AI agent to a massive set of global search engine data. You can track rankings, audit local businesses, and research e-commerce products right from your chat interface. google_organic gets general search results and ranking data from Google. bing_organic tracks keyword rankings and search results from Bing. yahoo_organic identifies general search results and ranking data from Yahoo. yandex_organic retrieves search results and ranking data from Yandex, focused on CIS regions. baidu_organic gathers local search results and ranking data from Baidu, specifically for mainland China. youtube_organic returns video ranking data and metadata counts from YouTube search results. google_maps performs structured extraction of properties from Google Maps search results for local businesses, pulling GPS coordinates, review counts, and GMB 3-pack node data. google_news fetches the latest PR and syndicated publication data from Google News, giving you real-time news coverage that bypasses standard caching. google_images indexes visual search vectors to find images related to a keyword on Google Images, letting you monitor your brand's visual footprint. amazon_asin pulls live pricing, Best Sellers Rank (BSR), and stock variables for any Amazon product using its ASIN, so you can analyze e-commerce competition data.
You can also run localized searches using specific geographic strings to compare how the same query performs in different countries. This setup lets you analyze e-commerce competition data, monitor visual search presence, get real-time news coverage, and track global organic rankings across ten search engines.
How DataForSEO MCP Works
- 1 Subscribe to the DataForSEO server, then enter your API Login and API Password found in your DataForSEO Dashboard.
- 2 In your AI client, give a natural language command like, 'What are the top 5 competitors for X in Paris?'
- 3 The agent calls the appropriate tool (e.g.,
google_maps), retrieves the structured data, and presents the full analysis to you.
The bottom line is, you get structured search data from ten global sources—all through a conversation with your agent.
Who Is DataForSEO MCP For?
The SEO Specialist who needs to run deep, multi-market audits without exporting CSVs. The E-commerce Manager who tracks Amazon pricing across different regions. Data Analysts who need to compare SERP data from five or more countries in one sitting. This is for anyone whose job depends on knowing exactly how a market functions right now.
Runs deep competitor analysis by comparing organic rankings across multiple search engines (Google, Bing, Baidu) and checking for topical authority gaps.
Audits Google Maps visibility for specific neighborhoods, checking GMB 3-pack nodes and local review density using precise geographic coordinates.
Tracks live Amazon product pricing and Best Sellers Rank (BSR) for competitor ASINs across different marketplaces.
Gathers structured SERP data—from news, images, and general search—across multiple countries for market trend mapping.
What Changes When You Connect
- See live Amazon pricing and Best Sellers Rank (BSR) instantly using the
amazon_asintool. You don't need to check the Amazon site; the agent pulls the data directly. - Map a competitor's local presence with
google_maps. You get GPS coordinates and review counts, not just a list of names. This is critical for physical auditing. - Track your brand's visual footprint across Google Images using
google_images. This shows where your brand shows up visually, which is a whole different metric from just text rankings. - Get comprehensive news coverage using
google_news. Instead of relying on standard cached search, this tool pulls fresh, syndicated PR stamps. - Compare international search results across ten engines. Tools like
google_organic,baidu_organic, andyandex_organiclet you see how the same keyword performs in vastly different markets. - Avoid manually exporting data. The agent handles the complex piping of results from multiple tools—like combining
google_organicwithyoutube_organic—and gives you one clean summary.
Real-World Use Cases
A competitor launched a new product in Berlin.
A local marketer needs to know the immediate impact. They ask the agent to check google_maps for the new store's listing and then run google_organic for local reviews and general search volume in that specific area. The agent provides a single report with both the listing data and the surrounding search context.
Launching a product in a new market (e.g., Japan).
A market researcher needs to understand local search behavior. They run baidu_organic (if applicable) and yahoo_organic to gauge the keyword landscape in that region, followed by checking yandex_organic to see what the local search algorithms prioritize. This multi-tool approach builds a full regional view.
Auditing an e-commerce product line.
An e-commerce manager needs to check if a competitor's price changed or if their BSR dropped. They feed the ASIN into amazon_asin. The agent returns the current price and BSR, letting the manager instantly assess competitive pressure.
Measuring brand visibility in media.
A PR specialist needs to know if the company was mentioned in the press. They use google_news to pull the latest mentions, then use google_images to check if any of the associated articles generated new visual content, giving a complete media picture.
The Tradeoffs
Checking tools one by one
Copying the same keyword into Google, then switching tabs to Bing, then going to Yandex, and manually writing down five different sets of results. This takes hours and the data is never structured.
→
Ask your agent to run the full comparison: 'Compare the search results for X across Google, Bing, Yandex, and Baidu.' The agent executes google_organic, bing_organic, yandex_organic, and baidu_organic and structures the data comparison for you.
Forgetting local context
Running a national search query for 'best coffee shop' without specifying a city, leading to generic results that don't help local decisions.
→
Specify the location first. Ask the agent to run google_maps for 'best coffee shop in London' to get precise local coordinates and the top 3 businesses.
Ignoring visual context
Only looking at text rankings for a product, missing that a competitor has a much stronger visual presence in search results.
→
Run google_images alongside your primary search query. This gives you the visual context that text-based ranking tools miss.
When It Fits, When It Doesn't
Use this server if your goal is to map a market's entire digital presence. This means you need to compare results across multiple geographies (e.g., google_organic vs. baidu_organic) or multiple media types (e.g., google_organic and youtube_organic). You need a single, structured data dump that lets you compare metrics like BSR, local GPS coordinates, and regional ranking differences.
Don't use this if you only need to check a single, basic search result. If you just want to know the top 5 results for one keyword on one platform, using the native platform tools is faster. This server shines when you need to synthesize data across ten different, specialized angles.
Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by DataForSEO. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.
VINKIUS INFRASTRUCTURE
Cloud Hosted
Managed infra
V8 Isolated
Sandboxed per request
Zero-Trust Proxy
No stored credentials
DLP Enforced
Policy on every call
GDPR Compliant
EU data residency
Token Compression
~60% cost reduction
Works with Claude, ChatGPT, Cursor, and more
The Model Context Protocol standardizes how applications expose capabilities to LLMs. Instead of operating in isolation, your AI gains direct access to external platforms, live data, and real-world actions through secure, standardized connections.
This server provides 10 capabilities that interface natively with Claude, ChatGPT, Cursor, and any MCP client. No middleware. No custom integration required.
Available Capabilities
Doing market research used to mean endless tabs and spreadsheets.
Today, checking a market means opening Google, running a search, grabbing the top 10 links. Then, you have to open Bing, repeat the process. Next, you go to Amazon to check pricing, and then open a separate news site for press coverage. You spend an entire morning copy-pasting data into a single, messy spreadsheet, hoping you didn't miss a regional variation.
Now, you just tell your agent what you need. You ask it to 'Map the competitive landscape for X in London.' The agent automatically runs `google_maps`, checks `google_organic` for local search, and cross-references `amazon_asin` for pricing—all in one go. You get the finished report, not the raw data.
DataForSEO MCP Server: Audit global rankings and market data from one prompt.
The manual process involves separate logins and specific API calls for each search engine. You'd have to write custom scripts just to compare `google_organic` results with `yandex_organic` results, which is a massive, brittle engineering lift.
With this server, you simply name the goal. The agent handles the connection, the multi-tool execution, and the data normalization across all ten engines. You just read the final report.
Common Questions About DataForSEO MCP
How does the DataForSEO tool work with `google_maps`? +
The google_maps tool performs structural extraction on local listings. It goes beyond just listing a name; it pulls actionable data like GPS coordinates, review counts, and the GMB 3-pack node details for a location.
Can I use `amazon_asin` for anything other than Amazon? +
No. The amazon_asin tool is specifically for Amazon. It pulls live e-commerce data (Price, BSR, Prime Stock) using the Amazon Standard Identification Number (ASIN).
Do I need to run `google_organic` for every search engine? +
No. You use the specific tool for the engine you care about. If you need Bing, use bing_organic. If you need Yandex, use yandex_organic.
How do I use `google_news` to check press coverage? +
Just ask the agent to check for recent mentions. google_news retrieves explicit, fresh PR and syndicated publication stamps, which is much more reliable than standard search cache results.
What is the difference between `google_organic` and `youtube_organic`? +
They track different media types. google_organic handles traditional text search results. youtube_organic specifically pulls video ranking data and associated metadata counts from YouTube search.
How do I handle rate limits when running `google_organic` searches? +
The server handles rate limits automatically. You'll need to manage your API key usage and watch for rate limit errors in the response. We recommend scheduling large data pulls using a dedicated pipeline.
Is `google_maps` useful for checking local business discoverability across different cities? +
Yes, it's designed for geographic precision. Just specify the exact location string (e.g., 'Seattle, Washington') and the tool extracts local GMB 3-pack nodes and review data for that area.
What kind of data does the `baidu_organic` tool pull for Chinese markets? +
The baidu_organic tool pulls data specific to the Chinese market, focusing on local search results. It identifies active arrays and supports specialized parsing for CN exact local search features.
Can my agent retrieve localized Google search results for a specific city? +
Yes. Provide the city or country name in the 'location' parameter. The agent will query DataForSEO's localized endpoints to return the exact SERP results as seen by users in that specific geographic boundary.
How do I audit competitor rankings across different search engines? +
You can use specialized tools for each engine (google_organic, bing_organic, baidu_organic, etc.). Provide the target keyword, and the agent will retrieve the top positional stats, allowing you to compare rankings across multiple global indexes.
Does the agent help with Amazon product price and stock monitoring? +
Absolutely. The 'amazon_asin' tool retrieves live retail data including Price, Best Sellers Rank (BSR), and Prime availability. Your agent can track these variables natively by ASIN to monitor e-commerce trends.
Use it with your favorite AI tools
Connect this server to Cursor, Claude, VS Code, and more.
More in this category
Appier
Empower your AI agents to manage Appier campaigns, analyze predictive audiences, and fetch real-time conversion metrics directly from chat.
Adtelligent
Adtech orchestration — manage DSP campaigns, creatives, and SSP reporting via AI.
WhatsApp Business Alternative
Automate your customer communication — send templates and manage profiles via AI.
You might also like
BOSSDesk
Manage your IT services via BOSSDesk — track tickets, assets, and users directly from any AI agent.
Woodpecker CI
Manage your Woodpecker CI instance — control pipelines, monitor agents, and configure repositories directly from your AI agent.
Katana
Automate manufacturing ERP workflows, sales orders, and inventory via Katana Cloud Manufacturing.