MCPSERV.CLUB
marcopesani

Serper Search and Scrape MCP Server

MCP Server

Web search and content extraction powered by Serper API

Active(70)
0stars
1views
Updated May 8, 2025

About

A TypeScript MCP server that offers advanced web search and webpage scraping via the Serper API, enabling tools like google_search and scrape for Claude Desktop users.

Capabilities

Resources
Access data sources
Tools
Execute functions
Prompts
Pre-built templates
Sampling
AI model interactions

serper-search-scrape-mcp-server MCP server

The Serper Search and Scrape MCP Server bridges the gap between AI assistants and real‑world web data by exposing a lightweight, TypeScript‑based interface to the Serper API. It solves the common developer pain point of having to write and maintain custom HTTP clients, authentication logic, and data parsing for web search and content extraction. By packaging these capabilities as an MCP server, the tool becomes a first‑class citizen in AI workflows, allowing assistants like Claude to perform up‑to‑date searches and pull structured content from any public webpage without exposing sensitive API keys or handling raw HTTP responses.

At its core, the server offers two powerful tools: and . The search tool leverages Serper’s fully‑featured Google search engine, returning rich results that include organic listings, knowledge graph snippets, “people also ask” panels, and related queries. It supports advanced operators such as , , and date filters, giving developers fine‑grained control over query scope. The scrape tool turns a URL into clean text or markdown, preserving document structure and exposing JSON‑LD metadata. These two primitives enable a wide range of use cases—from answering fact‑based questions with fresh search results to summarizing lengthy articles or extracting structured data for downstream processing.

Developers benefit from the server’s seamless integration with popular AI front‑ends. In Claude Desktop, a simple configuration entry launches the MCP server via , automatically injecting the required Serper API key. The same configuration can be reused in Cline and Cursor, ensuring consistent behavior across tools. The server’s lightweight design means it can run locally on a developer’s machine or be deployed in CI/CD pipelines, providing an inexpensive, privacy‑preserving alternative to cloud‑based search services.

Key advantages include automatic handling of rate limits and pagination, region and language targeting, and the ability to auto‑approve tools in client configurations, reducing friction during rapid prototyping. Because the MCP protocol communicates over stdio, developers can debug interactions using the MCP Inspector, which offers a browser‑based UI to inspect tool calls and responses. This combination of robust search/scrape capabilities, tight client integration, and developer‑friendly debugging makes the Serper Search and Scrape MCP Server a standout choice for building AI applications that need reliable access to the latest web content.