search
ActiveTool of Tavily
declared in 0.1.0
AI/LLM-optimized web search built for RAG: returns a synthesized natural-language answer plus a ranked list of sourced results (title, url, content snippet, relevance score). Prefer this over scraping a generic search engine when you need grounded, citable web context. Example: search({ query: "latest SpaceX Starship test result" })
Parameters schema
{
"type": "object",
"required": [
"query"
],
"properties": {
"query": {
"type": "string",
"description": "The search query / question to research."
},
"topic": {
"enum": [
"general",
"news"
],
"type": "string",
"description": "Search topic: \"general\" (default) or \"news\" for recent news coverage."
},
"_apiKey": {
"type": "string",
"description": "Optional — your own Tavily API key for higher limits; omit to use the shared Pipeworx key."
},
"max_results": {
"type": "number",
"description": "Maximum number of results to return (default 5, max 20)."
},
"search_depth": {
"enum": [
"basic",
"advanced"
],
"type": "string",
"description": "Search depth: \"basic\" (fast, default) or \"advanced\" (deeper, more thorough)."
},
"include_answer": {
"type": "boolean",
"description": "Whether to include a synthesized AI answer string (default true)."
}
}
}Parent server
Tavily
https://github.com/pipeworx-io/mcp-tavily
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