SerpApi Extended MCP. Structured SERP data from Google, Bing, and more.
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SerpApi Extended provides structured access to real-time search engine results from Google, Bing, Baidu, and more. It lets your AI client pull clean, parsed data instead of messy HTML dumps.
You can run global searches, validate specific geographic locations for localized queries, or check your API usage status—all through three dedicated tools.
What your AI agents can do
Get account
Retrieves your SerpApi account information, letting you check plan limits and remaining searches.
Get locations
Finds valid and supported geographic locations for use in search queries.
Search
Performs a live search query using multiple engines (Google, Bing, etc.) and returns the results as structured data.
Run a single query across multiple search engines (Google, Bing, etc.), pulling structured data from the top results.
Check if a specific geographic location is supported by SerpApi and get its precise format for accurate searches.
Retrieve your current account status, showing how many searches you've used against your plan limit.
Receive clean, parsed JSON data containing titles, snippets, and links, eliminating the need to write web scraping code.
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Supported MCP Clients
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SerpApi Extended MCP Server: 3 Tools for Web Data Retrieval
Use these three tools to perform structured search queries, validate target locations, or monitor account usage directly through your AI client.
019e5d54get account
Retrieves your SerpApi account information, letting you check plan limits and remaining searches.
019e5d54get locations
Finds valid and supported geographic locations for use in search queries.
019e5d54search
Performs a live search query using multiple engines (Google, Bing, etc.) and returns the results as structured data.
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 SerpApi Extended, 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
Listen up. You don't wanna deal with raw HTML dumps from search engines. This server gives your AI client structured data—clean JSON containing titles, snippets, and links—from major players like Google, Bing, and Baidu. It bypasses the whole mess of web scraping code you used to write.
When you gotta run a search, you use the search tool. This is where the magic happens. You can execute global search queries in one shot across multiple engines, pulling structured data straight from the top results. Instead of getting a giant wall of garbage text, it hands you parsed JSON that's perfect for analysis.
Before you run any serious query, though, you gotta make sure your location is legit. For checking supported geography, use get_locations. This tool checks if a specific place name works with SerpApi and gives you the exact format you need. You can't just guess the spelling or the code; this tells you what to plug in for accurate, localized search results.
When it comes time to monitor your operation—and you always gotta monitor your usage—you use get_account. This tool pulls all your account details. It lets you check your plan limits and see exactly how many searches you've used against that quota. You can keep an eye on your current status before running big batches of queries, so you don't get shut down mid-task.
The entire setup is built around delivering clean SERP data. The search tool handles the heavy lifting by performing a live query across all those engines and giving you that structured JSON output. If location matters for your search—and it almost always does—you run get_locations first to validate the target coordinates, making sure every subsequent query is correctly localized.
Think of this as three specialized functions working together. You check your quota with get_account. You confirm your geography using get_locations. Then you feed those validated parameters into search, and boom—you get clean data ready to use in your agent's next step. It’s not just fetching results; it's giving you the structured framework for everything you need, eliminating messy scraping entirely.
How SerpApi Extended MCP Works
- 1 Subscribe to this server and input your SerpApi API Key into your client.
- 2 Run
get_locationsif you're targeting a specific area, or runget_accountto check your current usage limits. This ensures the inputs for your main query are valid. - 3 Use the gathered data (like an approved location) in the
searchtool to perform the final query and get structured results.
The bottom line is, you tell your agent what you need—whether it's a global search or a status check—and it uses these tools to gather clean data for you.
Who Is SerpApi Extended MCP For?
This server is built for people who work with web data, not internal databases. You're the SEO Specialist who needs to track competitor rankings across different countries; the Market Researcher monitoring global brand visibility; or the Data Scientist gathering real-world text and link structures for model training.
Runs batch searches using search to compare keyword rankings against competitors in multiple international markets, avoiding manual Google searches.
Uses the structured output from search to gather real-world web data for training NLP models, ensuring the data is clean and usable immediately.
Validates local search viability using get_locations before advising a client on a new physical market entry strategy.
What Changes When You Connect
- Global Search Coverage: You don't need to hit multiple APIs. The
searchtool runs queries across major engines (Google, Bing) in one go. - Validated Locations: Before querying a new country, run
get_locations. This validates the target area and prevents failed searches due to incorrect formatting. - Structured Output: Instead of getting messy HTML you have to parse, you get clean JSON. This is critical for data science workflows.
- Usage Tracking: The
get_accounttool gives immediate visibility into your API limits, so you never run out of quota halfway through a project. - Efficiency Over Scraping: You bypass the complexity and fragility of building web scrapers entirely; it's all an API call.
Real-World Use Cases
Checking Competitor Reach in India
A marketer needs to see how a competitor ranks for 'best CRM software' specifically in Mumbai. They first run get_locations to confirm the correct locale, then use that validated data in search. The agent returns structured results showing rankings from multiple engines.
Training an LLM on Web Snippets
A data scientist needs thousands of clean web snippets for a training set. They call the search tool repeatedly, instructing it to output only the title, snippet, and URL. This structured stream of data feeds directly into their model pipeline.
Verifying Target Market Viability
A product team is considering launching in Vietnam. They use get_locations to verify 'Vietnam' is supported. Once confirmed, they run a sample search via search to gauge the current search landscape and language requirements.
Running Large-Scale SEO Audits
An SEO specialist needs to check 50 keywords across 10 different countries. They first use get_account to ensure they have enough quota, then loop through the locations and run structured searches using the search tool for each combination.
The Tradeoffs
Treating all web data as text
Getting a massive blob of HTML from an old scraper and asking the AI to 'figure out' the key points.
→
Don't use raw scraping. Use search to get structured results, which gives you clean fields like title and snippet directly.
Searching without checking location
Running a search for 'coffee shops' but forgetting that the API defaults to US locations when they need UK data.
→
Always run get_locations first. This verifies your specific target market is supported before you call search.
Ignoring rate limits
Running hundreds of searches without checking quotas, resulting in the job failing halfway through and wasting time.
→
Before any large batch process, run get_account. This confirms your quota status so you know exactly how many searches are left.
When It Fits, When It Doesn't
Use this server if your core problem is accessing structured search engine results from Google, Bing, or similar platforms. You need real-time web data that hasn't been pre-filtered by a database.
Don't use it if you just need internal company records (like CRM contacts) or proprietary application data—those require direct calls to your internal APIs. If you only need simple text analysis, an LLM alone might suffice. But if the answer must come from the public web and needs structure, this is what you need.
Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by SerpApi. 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.
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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 3 capabilities that interface natively with Claude, ChatGPT, Cursor, and any MCP client. No middleware. No custom integration required.
Available Capabilities
Sifting through search results shouldn't feel like archaeology.
Today, pulling competitive intelligence means juggling tabs. You find a keyword on Google, copy the title; jump to Bing and repeat for another engine; then you have to manually piece together which result is relevant and what format it's in. It’s slow, tedious, and prone to human error.
With this MCP server, that process vanishes. Your agent runs `search`, hits multiple engines simultaneously, and hands you structured JSON containing exactly the title, snippet, and URL you need. You get the data, not the struggle.
Use SerpApi Extended MCP Server: Search for Structured Results
You no longer have to write complex scrapers or manage dozens of endpoints just to gather basic web data. The `search` tool wraps all that complexity up, letting you treat the entire global search index like a single API endpoint.
The difference is simple: manual scraping breaks when Google changes its layout; calling our tools works because it speaks directly to the service layer. It's reliable.
Common Questions About SerpApi Extended MCP
Can I search on engines other than Google? +
Yes! Use the search tool and specify the engine parameter. Supported engines include Bing, Baidu, DuckDuckGo, Yahoo, and many others.
How do I check my remaining API credits? +
Run the get_account tool. Your agent will retrieve your current plan details, total searches, and remaining credits for the current billing cycle.
How do I find the correct location string for a localized search? +
Use the get_locations tool with a search prefix (e.g., 'New York'). It will return a list of valid location strings that you can then pass into the search tool.
How does the 'search' tool return structured data instead of raw HTML? +
The search tool parses and returns clean, usable data directly. Instead of messy web page code, you get organized JSON objects containing specific details like titles, snippets, and URLs for every result. This format makes it easy for your agent to ingest and analyze the information without complex parsing scripts.
What do I need to provide when setting up the MCP server connection? +
You must supply a valid SerpApi API Key during setup. Your AI client uses this key to authenticate your requests with our service. This ensures that every search you run is properly attributed and counted against your account usage.
If my searches fail due to hitting a limit, what does the 'get_account' tool help me determine? +
The get_account tool shows your real-time plan status. If you hit a rate limit or exceed your monthly cap, the output will indicate exactly how many searches you used and which specific metric is maxed out. This lets you know when to pause or upgrade your plan.
Can I use the 'search' tool for general topics that aren't tied to a specific location? +
Yes, you can run global queries without needing a strict location string. While we support localization, the search function handles broad web searches across multiple engines regardless of geography. Just keep in mind that highly localized results will require using 'get_locations' first.
I ran into an error after using 'get_locations'; what should I check? +
First, double-check the spelling and format of your input query. If a location isn't recognized, it usually means the string doesn't match one of the supported formats. You may need to simplify your search term or try an alternative format.
Use it with your favorite AI tools
Connect this server to Cursor, Claude, VS Code, and more.
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