Serp FAQs

Name: Serp
Author: AceDataCloud

Question 1

What is Serp and what does it do?

Accepted Answer

Serp is a Model Context Protocol (MCP) server that seamlessly integrates comprehensive Google search capabilities—including web, images, news, videos, maps, and the Knowledge Graph—directly into AI clients and development environments for structured data access.

Question 2

Does Serp support localized searches and time filtering?

Accepted Answer

Yes, Serp fully supports localization, enabling users to specify target countries and languages for search results. Additionally, you can filter results by various time ranges, such as the past hour, day, week, or month.

Question 3

Is Serp easy to set up and use?

Accepted Answer

Serp offers flexible deployment options: you can utilize the managed hosted server by AceDataCloud for immediate use or choose to run it locally via PyPI or Docker for self-hosting. Integration with MCP-compatible clients is straightforward, often requiring just an API token.

Question 4

How does Serp integrate with AI clients and IDEs?

Accepted Answer

Serp leverages the Model Context Protocol (MCP) to connect with popular AI clients and IDEs like Claude, VS Code, JetBrains, Cursor, and more. This allows AI agents and developers to perform real-time, context-aware Google searches.

Question 5

What types of Google search results can Serp provide?

Accepted Answer

Serp offers a wide array of Google search results, including regular web pages, images, news articles, videos, local places, map locations, and structured entity information from Google's Knowledge Graph.

Serp

Serp

Key Features

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Key Features

Use Cases