Search1API MCP Server
Related Servers
Alternatives to Search1API MCP Server
No user-submitted related servers found.
Related Servers
- AlicenseBqualityDmaintenanceA Model Context Protocol server that provides web search capabilities using Google Custom Search API and webpage content extraction functionality.2MIT
- FlicenseAqualityCmaintenanceA Model Context Protocol server that provides web search capabilities using Google Custom Search API and webpage content extraction functionality.26 npm2-
- AlicenseBqualityDmaintenanceA Model Context Protocol server providing web search capabilities using Google Custom Search API and webpage content extraction functionality.2MIT
- AlicenseNot gradedqualityCmaintenanceA Model Context Protocol server that exposes powerful web search and scraping tools to AI agents and MCP-compatible clients.Apache 2.0
- AlicenseBqualityCmaintenanceA Model Context Protocol server that enables AI assistants to perform real-time web searches, retrieving up-to-date information from the internet via a Crawler API.170 npm42ISC
- AlicenseAqualityBmaintenanceFirecrawl, the context API for AI agents, as an MCP server. Search the web, scrape any URL, parse PDFs and documents, crawl and map sites, interact with pages in a real browser, run Agent research jobs, monitor pages for changes, and search scientific papers. Returns clean Markdown or structured JSON. Run locally with npx firecrawl-mcp or connect to https://mcp.firecrawl.dev/v2/mcp28158,347 npm7,764MIT
TDQS
Scored across 10 tools
Most tools have clearly distinct roles: sitemap vs crawl vs deepcrawl are well-separated by scope, and maps/news/trending target specific sources. The main overlap is between search, ask, and news — all return web-ish results — though the descriptions (single engine vs multi-engine vs news) give an agent enough to choose correctly.
Naming mixes bare nouns (sitemap, maps, news, trending), bare verbs (search, ask, crawl), verb_noun (send_feedback, render_results), and a compound (deepcrawl). Each name is readable and none are cryptic, but there is no single predictable pattern an agent can rely on.
Ten tools is well-scoped for a search-and-retrieval server, with each tool covering a distinct retrieval mode or utility. Nothing feels padded or missing at the count level.
The surface covers the full research lifecycle: discovery (sitemap, trending, news, maps), search (search, ask), and reading (crawl, deepcrawl), plus presentation and feedback utilities. Minor gaps exist — no structured extraction or batch URL fetch — but core workflows have no dead ends.