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by captainChaozi • Search & Retrieval
An MCP server that analyzes search queries to determine user intent and provide SEO-focused categorizations, reasoning, references, and search suggestions.
Analyze user search queries to infer intent and classify them into SEO-relevant categories.
Generate human-readable reasoning and supporting references for why a query maps to particular intents or categories.
Produce related search suggestions to expand keyword research and content planning.
This MCP server connects to the Search Intent API (via https://aisearchintent.com) to analyze user search keywords and infer likely intent. It returns probable categories, the reasoning behind the inference, relevant reference links, and suggested related search queries. The tool is intended to support SEO analysis and help agents surface intent-driven content recommendations and classification.
A tool for analyzing search intent and user behavior. Features: - Analyze search query intent - Identify relevant topic categories - Provide search suggestions - Offer reference links Examples: "iphone 15" → Product research/purchase intent "python tutorial" → Learning intent Response format: - query: Original search term - intent: Search intention - categories: Related categories - suggestions: Related search terms - references: Reference links
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