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Google Search Remote MCP Server

google_serp_serp_light: GET /

hasdata_google_serp_serp_light_getSearchResults

Get Google Light Search Results

Google Search scraper served from the lightweight no-JS layout, cheaper and faster than the full SERP API. Returns organic results (title, link, displayed link, snippet, sitelinks, extensions, date, rating and review count), AI Overview with its text blocks and source references, answer box (featured snippet, calculator, unit and currency conversion, local time), knowledge graph, related questions, related searches, inline images, local pack, search filters, pagination, spelling correction and the location Google actually applied. Shopping, top stories, news, videos and jobs blocks are not served in this layout. Supports location/uule, country (gl), language (hl/lr), domain, safesearch, and time/date filters (qdr, cdr) with offset/num pagination. Use for high-volume keyword monitoring, bulk rank tracking, backlink discovery, and AI Overview presence tracking.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
qYesSpecify the search term for which you want to scrape the SERP.
glNoThe two-letter country code for the country you want to limit the search to. Provide one exact documented value (245 allowed), e.g. `ac`, `af`.
hlNoThe two-letter language code for the language you want to use for the search. Provide one exact documented value (159 allowed), e.g. `af`, `ak`.
lrNoThe 'lr' parameter specifies the language of the websites to return results from. This parameter filters results based on the language of the web content.
numNoNumber of results per page, ranging from 10 to 100.
tbsNoThis parameter supports various filters that can be combined by separating them with a comma. Here are examples of these filters: - Specific Time Range: `cdr:1,cd_min:10/17/2018,cd_max:3/8/2021` - Filter results to show only those within the defined date range. - Sort by Date: `sbd:1` - Results are sorted by date, from the most recent to the oldest. - Sort by Relevance: `sbd:0` - Results are sorted by relevance to the search query. - Sites with Images: `img:1` - Only show results from webpages that contain images. Quick Date Range (qdr): - `qdr:h` - Show results from the past hour. - `qdr:d` - Limit results to the past day. - `qdr:w` - Filter results from the week. - `qdr:m` - Display results from the past month. - `qdr:y` - Show results from the past year. - `qdr:h10`, `qdr:d10`, `qdr:w10`, `qdr:m10`, `qdr:y10` - Specify a number to show results from the last 10 hours, days, weeks, months, or years respectively. These filters enhance the control over search results, allowing for precise retrieval of information based on specific criteria.
safeNoAdult Content Filtering option.
uuleNoThe encoded location parameter.
startNoThis parameter specifies the number of search results to skip and is used for implementing pagination. For example, a value of 0 (default) indicates the first page of results, 10 refers to the second page, and 20 to the third page. For Google Local Results, the start value must be in multiples of 20, such as 20 for the second page, 40 for the third page, etc.
domainNoGoogle domain to use. Default is google.com. Provide one exact documented value (195 allowed), e.g. `google.ac`, `google.ad`.
filterNoDefines whether to enable or disable the filters for 'Similar Results' and 'Omitted Results'. Set to 1 (default) to enable these filters, or 0 to disable them.
locationNoGoogle canonical location for the search.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.3/5.0
Behavior4/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries the burden. It accurately describes behavior by listing what is returned and what is not served, and the GET / title implies a read-only operation. It does not mention potential side effects, but none are expected for a search scraper.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is relatively long but each sentence adds value by enumerating supported and unsupported result types and listing intended use cases. It is well-structured and front-loads the core purpose.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given there is no output schema, the description compensates by summarizing the response components and limitations. It also provides enough context for an agent to decide when to use this tool versus the full SERP sibling tool.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The schema already provides 100% coverage with detailed descriptions for all 12 parameters, so the description adds little beyond the schema. It does not introduce new parameter-specific meaning, though it provides useful context for how some result filters affect output.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

Clearly states it gets Google Search results from the light no-JS layout and explicitly lists the result types returned and excluded. The name and title also reinforce the specific resource and operation.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Explicitly distinguishes this light version from the full SERP API by noting it is cheaper and faster, and names concrete use cases: high-volume keyword monitoring, bulk rank tracking, backlink discovery, and AI Overview presence tracking.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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