Autom MCP Server
OfficialRelated Servers
Alternatives to Autom MCP Server
No user-submitted related servers found.
Related Servers
- FlicenseNot gradedqualityAmaintenanceEnables AI assistants to run search queries across Google, Bing, Yahoo, DuckDuckGo, YouTube, eBay and many other engines, returning structured JSON or compact Markdown for organic results, news, images, shopping, weather, and stock data. It also exposes per-engine parameter schemas as MCP resources and offers opt-in interactive UI tools for tabular and dashboard-style result viewing.-
- FlicenseNot gradedqualityAmaintenanceEnables MCP clients to run searches across Google, Bing, Yahoo, DuckDuckGo, YouTube, eBay, and other engines, returning automatically detected and formatted JSON or Markdown results for answer boxes, organic results, news, images, shopping, weather, and stock data.-
- FlicenseNot gradedqualityAmaintenanceEnables MCP clients to run searches across Google, Bing, Yahoo, DuckDuckGo, YouTube, eBay, and other engines, returning organic results, news, images, shopping, weather, and stock data as JSON or Markdown. It also exposes per-engine parameter schemas as resources and offers optional interactive table and dashboard views.-
- FlicenseNot gradedqualityAmaintenanceEnables AI assistants to run real-time searches across Google, Bing, Yahoo, DuckDuckGo, YouTube, eBay, and other engines, returning structured JSON or token-efficient Markdown. Supports weather, stock, news, shopping, and scholarly results with per-engine parameter schemas exposed as MCP resources.-
- FlicenseNot gradedqualityAmaintenanceEnables AI assistants to run real-time searches across Google, Bing, Yahoo, DuckDuckGo, YouTube, eBay and many other engines, returning structured JSON or token-efficient Markdown for organic results, news, images, shopping, weather, and stock market data. It also exposes per-engine parameter schemas as MCP resources and can render results as interactive tables or dashboards.-
- FlicenseNot gradedqualityAmaintenanceEnables MCP clients to run real-time searches across Google, Bing, Yahoo, DuckDuckGo, YouTube, eBay, and other engines, with automatic formatting of answer boxes, organic results, news, images, shopping, weather, and stock data. Responses can be returned as structured JSON or token-efficient Markdown.-
TDQS
Scored across 22 tools
Most tools are cleanly separated by provider + vertical (google_images, brave_videos, google_jobs, etc.), but the generic `search` tool that auto-walks engines overlaps directly with every provider-specific search tool, and google_search / google_search_light / google_search_ai are three near-identical Google SERP variants with only cost/latency differences. Descriptions help, but selecting between `search`, `google_search`, and `google_search_light` requires reading fine print.
The dominant pattern is snake_case with a provider prefix (google_*, brave_*, bing_*, duckduckgo_*, yahoo_*), which is readable and mostly predictable. However, bare names (`search`, `stats`, `usage`), the `finder_` prefix family, and the provider-first-plus-suffix forms (google_search_light, google_search_autocomplete) mix several conventions, and `google_search_ai` is described as 'Google AI Mode', a name/description mismatch.
22 tools is above the comfortable 3-15 band and the surface is broad, though each engine/vertical pairing does represent a real distinct endpoint. Several slots are padding-like variants (search_light, search_ai, brave_search vs brave_images vs brave_videos) that inflate the count without adding new capabilities.
Coverage of the SERP-API domain is solid: multiple engines, images/videos/news/shopping/jobs/maps, autocomplete, finder metadata for languages/locations/countries, plus usage and infrastructure stats. Minor gaps remain — no news or video endpoints for non-Google engines, no explicit engine-capability listing, and the aggregate `search` has no pagination.