search
ActiveTool of Exa
Neural/semantic web search — find pages by meaning, not just keywords. Returns title, URL, published date, author, and relevance score. Optionally retrieve clean page text inline. Example: search({ query: "startups building AI agents for customer support", num_results: 10, type: "neural" })
Parameters schema
{
"type": "object",
"required": [
"query"
],
"properties": {
"type": {
"type": "string",
"description": "Search mode: 'neural' (semantic/meaning-based), 'keyword' (traditional), or 'auto' (Exa picks). Default 'auto'."
},
"query": {
"type": "string",
"description": "The search query — describe what you want by meaning, e.g. \"recent research on protein folding with diffusion models\""
},
"_apiKey": {
"type": "string",
"description": "Optional — your own Exa API key for higher limits; omit to use the shared Pipeworx key."
},
"category": {
"type": "string",
"description": "Optional focus category, e.g. 'company', 'research paper', 'news', 'pdf', 'github', 'tweet'."
},
"num_results": {
"type": "number",
"description": "Number of results to return (default 10, max 25)"
},
"include_text": {
"type": "boolean",
"description": "If true, include the clean parsed page text (up to 2000 chars) for each result. Default false."
}
}
}No endpoints wrapped at confidence ≥ 0.70.
Parent server
Exa
https://github.com/pipeworx-io/mcp-exa
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