About Search_intent
Search_intent is an MCP service for SEO-oriented search intent analysis. It analyzes keywords and returns intent, possible categories, reasoning, reference links, and search suggestions for people researching search demand and content topics.
Key features
- 01Analyzes keyword search intent
- 02Suggests possible categories
- 03Returns analysis reasoning
- 04Provides references and search suggestions
Use cases
- 01Identify the likely intent behind a keyword
- 02Inform SEO content planning
- 03Find related search suggestions and references
MCP support
The MCP server exposes the `search_intent_analysis` tool, which accepts a keyword and returns search intent analysis. An API key is required.
Configuration
Local server config is the same for every client. Copy it into your client’s MCP config file.
Tools
1Saved tool list · updated 3w ago
| Parameter | Type | Required | Description |
|---|---|---|---|
| query | string | Yes | Enter a search term to analyze |
Details
From the project READMESearch Intent MCP
请通过 https://aisearchintent.com 获取 API key
这是一个基于 MCP (Model Context Protocol) 的搜索意图分析服务。它可以帮助分析用户搜索关键词的意图,为 SEO 分析提供支持。
功能特点
- 分析搜索关键词的意图
- 提供可能的分类
- 提供推理过程
- 提供相关参考链接
- 提供搜索建议
使用方法
claude 安装
{
"mcpServers": {
"search_intent": {
"command": "npx",
"args": ["-y", "@search-intent/mcp"],
"env": {
"SEARCH_INTENT_API_KEY": "xxx"
}
}
}
}
开发
# 克隆仓库
git clone
# 安装依赖
pnpm install
# 设置环境变量
export SEARCH_INTENT_API_KEY=your_api_key
API 使用示例
服务提供了一个名为 search_intent_analysis 的工具,可以这样使用:
{
"name": "search_intent_analysis",
"arguments": {
"query": "grok3"
}
}
返回结果示例:
{
"query": "grok3",
"intent": "Information Lookup about xAI's Grok 3...",
"possibleCategories": [
"AI Model",
"Technology",
"Chatbot",
"Product Information"
],
"reasoning": "The user is likely trying to understand...",
"references": [
{
"url": "https://example.com",
"title": "Example Title"
}
],
"searchSuggestions": [
"grok3 meaning",
"grok3 search intent",
"grok3 categories",
"grok3"
]
}
Comments
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.