Performs real-time Google searches and returns SERP results, knowledge panels, AI Overviews, and AI Mode answers for any query.
MIT
599,850 tools. Updated 2026-09-22 08:25
"How to use Google Search to generate answers" matching MCP tools:
- Get AI Mode answers from Google Search with cited sources and follow-up suggestions. Use for research, citation tracking, lead enrichment, and multi-turn QA pipelines.MIT
- Search Playloop documentation with a question to get top relevant passages and sources, enabling accurate answers about platform features, SDKs, dashboard, billing, and security.MIT
- Discover keyword ideas and search volumes. Provide seed keywords to get monthly volume, competition, and trends from Google Ads data.MIT
- Analyze Google Ads performance by network (Google Search vs Search Partners) to decide whether to toggle Search Partners. Returns impressions, clicks, cost, conversions, CTR, and CPC per campaign and network.Apache 2.0
- Connect to Google Search Console, sync your properties with up to 3 months of data, and generate a visual overview of every site for initial configuration.Apache 2.0
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Matching MCP Connectors
google search: google web search api, web, images, videos, news, music, favicon, proxy, audio.
Scrape Google search results with SERP data, ads, and knowledge panels
- Generate an optimized Boolean search query for Google Patents from a natural-language invention description. Returns only the query string, without executing the search.MIT
- List all Google Search Console properties and sites you have access to. Use this to identify the exact site URL needed for other tools.MIT
- Perform a quick Google search to retrieve concise snippet results for fast answers to straightforward questions.MIT
- Discover every available Google search type and its use case. Choose the right search mode for your query by reviewing this quick reference table.MIT
- List available analytical playbooks for Google Search Console, offering proven field combinations and data interpretation techniques to support SEO analysis.MIT
- Generate text responses grounded in current Google Search results to provide up-to-date, cited information for user queries.MIT
- Analyze a repository, generate documentation, publish to Google Docs, and optionally export to Markdown, HTML, or PDF. Returns the Google Docs URL and export paths.MIT
- Generate a Google OAuth authorization URL for Google Health API access when no local token exists. Use this first step to obtain user consent and retrieve an authorization code.MIT
- Retrieves answers to natural language queries using Google Search, processes them with Vertex AI models, and saves the results to a specified file path for easy access and storage.MIT
- Search the web via multiple engines like Google, DuckDuckGo, Brave, and Wikipedia. Filter by category, time range, and domains to get relevant results, direct answers, and infoboxes.MIT
- Saves precise code snippets or concise answers from official documentation to a specified file, using a Vertex AI model with Google Search for technical queries. Requires topic, query, and output path.MIT
- Preview how your meta title and description render in Google search results, including truncation, to optimize your snippet.MIT
- Fetch up-to-date answers by sending a prompt with Google Search grounding and optional URL context to Gemini.MIT
- Submit a sitemap URL to Google Search Console to notify Google of new or updated content, ensuring proper indexing.MIT
- Generate answers to questions by combining web search with AI language model capabilities.MIT