Cloudsway SmartSearch MCP Server

Overview

The Cloudsway SmartSearch MCP server brings the power of a cloud‑hosted web search engine directly into AI assistants. By exposing a single, well‑defined tool named SmartSearch, it allows an assistant to query the web and retrieve structured, JSON‑formatted results that can be consumed by downstream logic or presented to a user. This eliminates the need for custom web‑scraping code, reduces latency through caching and pagination, and ensures consistent compliance with rate limits and usage policies.

The server solves a common pain point for developers: integrating up‑to‑date, authoritative information from the internet into conversational agents. Instead of hardcoding knowledge or relying on static data dumps, an assistant can ask SmartSearch for the latest articles, product pages, or policy documents. The API supports language selection, freshness filters (day, week, month, or custom date ranges), and site‑specific queries, giving fine‑grained control over the scope of results. Pagination is built in via and , so large result sets can be fetched incrementally without overwhelming the client.

Key capabilities include:

• Structured JSON output that contains titles, URLs, snippets, publication dates, crawl timestamps, site names, thumbnails, and relevance scores. This format is immediately usable by downstream components such as ranking engines or UI renderers.
• Pagination and filtering: developers can request up to 50 results per call, shift through pages with , limit language scope, or narrow searches to a single host.
• Robust error handling: the server reports clear HTTP status codes, notably for rate limits, and provides guidance on contacting support for higher quotas.
• Simple configuration: a single environment variable () holds the combined endpoint and access key, streamlining deployment across Docker, Kubernetes, or serverless platforms.

In practice, SmartSearch is ideal for use cases such as:

• A knowledge‑base assistant that needs to surface the latest blog posts or documentation pages when a user asks about recent features.
• A data‑driven chatbot that pulls current market statistics, news headlines, or regulatory updates to answer domain‑specific queries.
• A content recommendation engine that surfaces relevant web pages based on a user’s search intent, then passes those results to a ranking model for personalized suggestions.

Integrating SmartSearch into an MCP workflow is straightforward. The tool’s input schema maps directly to the API parameters, and its JSON response can be parsed by any downstream MCP service or custom logic. Because the server adheres to the MCP specification, it can be combined with other tools—such as file readers or data‑transformers—in a single conversation, enabling complex, multi‑step reasoning that spans web search, data extraction, and synthesis.