LABSCO SUMMARY

One tool doing one job: it labels a query and hands back routing hints, and it searches nothing itself.

The worked examples in its own description set the granularity to expect — "iphone 15" as product research or purchase intent, "python tutorial" as learning intent — which is a category, not a ranked result page. Because the response arrives as named fields, it sits naturally in front of whatever actually retrieves, deciding which path a query takes. The label vocabulary is learned by calling it: the description fixes the response fields, and leaves the set of intents open.

What it is

A single-tool classifier for search queries: search_intent_analysis takes a query and returns its intent, related categories and suggestions.

What you get

Intent classification with the vendor's own worked examples: "iphone 15" comes back as product research or purchase intent, "python tutorial" as learning intent.
A named-field response rather than prose — query, intent, categories and suggestions — so the result can be branched on without parsing.
Routing material alongside the label: the description lists topic categories, search suggestions and reference links among what it offers.

Requirements

A Search Intent API key, supplied as SEARCH_INTENT_API_KEY.

Setup effort

One command plus a key — npx -y @search-intent/mcp, then supply credentials

See installation options

USE CASES

01

Deciding what to do with a query before you answer it

Classify the query first, then route it — a purchase-intent query and a learning-intent query want different sources.

search_intent_analysis

1 tool

Counted once with only startup setup. Other versions, modes or optional credentials may expose a different list.

`search_intent_analysis`

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

BEFORE YOU INSTALL

What to know first

Tools you get

1 tool when we connected.

Requires

npx on PATH
SEARCH_INTENT_API_KEY in your environment

Where it runs

The documented client runs the server on your machine.

CONTEXT COST

Light Standing cost

Rated by the size of the one tool definition that rides along on every turn

INSTALLATION

Connect your client

Server setup

TERMINAL

npx -y @search-intent/mcp

MCP Clients

Claude Desktop

CLAUDE DESKTOP · JSON

{
  "mcpServers": {
    "search_intent": {
      "command": "npx",
      "args": [
        "-y",
        "@search-intent/mcp"
      ],
      "env": {
        "SEARCH_INTENT_API_KEY": "<YOUR_SEARCH_INTENT_API_KEY>"
      }
    }
  }
}

Search Intent MCP