Serper MCP Server

The Serper MCP Server solves a common bottleneck for AI assistants: accessing up‑to‑date, authoritative search results from Google without violating the platform’s terms of service. By leveraging Serper’s API, the server translates a simple “google_search” request into a structured query that returns ranked results, images, videos, news, and more. This eliminates the need for custom web‑scraping logic or manual API integration, allowing developers to focus on higher‑level conversational design.

For developers building AI workflows, the server provides a single entry point that exposes a rich set of tools: , , , , and many others. Each tool accepts a concise set of parameters—such as query string, location, language, or pagination options—making it straightforward to embed in prompts. The server’s ability to return diverse content types (maps, reviews, shopping results, scholarly articles) means that a Claude or other LLM can retrieve exactly the kind of information needed to answer a user’s question, generate reports, or surface product recommendations.

Key capabilities include:

• Structured search results: JSON‑formatted responses with relevance scores, snippets, and URLs.
• Multimedia retrieval: Dedicated tools for images, videos, news feeds, and shopping listings.
• Location‑aware queries: Tools like and fetch localized data, essential for travel or local business assistants.
• Developer‑friendly integration: The server can be launched via Smithery, , or plain , and is configured through a simple JSON block that injects the Serper API key.

Real‑world scenarios where this server shines include:

• A customer support bot that pulls the latest product reviews or FAQ articles from Google.
• An educational assistant that fetches scholarly papers and citation metrics on demand.
• A travel planner that combines map data, local place reviews, and real‑time flight prices into a single conversational response.

Because the server adheres to MCP standards, it plugs directly into any compliant client—Claude Desktop, web‑based LLMs, or custom applications. Developers can test and debug interactions using the MCP inspector, ensuring that search queries return expected results before deploying them in production. The combination of a single, well‑documented interface and the breadth of Google’s search ecosystem makes Serper MCP Server a standout tool for any AI‑powered information retrieval use case.