Search Intent

AI 分析搜索意图 MCP

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GitHub Stars

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Language

6 months ago

First Indexed

2 months ago

Catalog Refreshed

Documentation & install

Readme and setup notes from the catalogue, plus a client-ready config you can copy for your MCP host.

Installation

Add the following to your MCP client configuration file.

Configuration

View docs

{
  "mcpServers": {
    "captainchaozi-search-intent-mcp": {
      "command": "npx",
      "args": [
        "-y",
        "@search-intent/mcp"
      ],
      "env": {
        "SEARCH_INTENT_API_KEY": "YOUR_API_KEY"
      }
    }
  }
}

You can run an MCP server that analyzes user search intent using the Search Intent MCP service. It connects via a lightweight local or remote MCP client, accepts your search queries, and returns likely intent categories, reasoning, references, and suggestions to help with SEO analysis.

How to use

Use a compatible MCP client to connect to the Search Intent MCP server. You will provide your search query to the server, and it will return the analyzed intent, suggested categories, reasoning, references, and search suggestions. This enables you to quickly understand user intent behind keywords and refine SEO strategies.

How to install

Prerequisites: you need Node.js and npm or npx installed on your system.

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

Additional notes

The server configuration above uses the npx-based runtime. Replace the API key value with your actual key obtained from the service provider. You can run the MCP client to start querying once the server is configured.

Available tools

search_intent_analysis

Tool to analyze a query and return the intent, possible categories, reasoning, references, and search suggestions.