Semrush Keyword Magic Tool MCP Server
Provides access to Semrush Keyword Magic Tool API for SEO keyword research, including keyword overview analysis, keyword suggestions with millions of results, and question-based keyword research across different countries and languages.
Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@Semrush Keyword Magic Tool MCP Server find keyword suggestions for 'email marketing' in the US"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
Semrush Keyword Magic Tool MCP Server
用于访问 Semrush Keyword Magic Tool API 的 MCP 服务器。
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Related MCP server: DataForSEO MCP Server
简介
这是一个 MCP 服务器,用于访问 Semrush Keyword Magic Tool API。
PyPI 包名:
bach-semrush_keyword_magic_tool版本: 1.0.0
传输协议: stdio
安装
从 PyPI 安装:
pip install bach-semrush_keyword_magic_tool从源码安装:
pip install -e .运行
方式 1: 使用 uvx(推荐,无需安装)
# 运行(uvx 会自动安装并运行)
uvx --from bach-semrush_keyword_magic_tool bach_semrush_keyword_magic_tool
# 或指定版本
uvx --from bach-semrush_keyword_magic_tool@latest bach_semrush_keyword_magic_tool方式 2: 直接运行(开发模式)
python server.py方式 3: 安装后作为命令运行
# 安装
pip install bach-semrush_keyword_magic_tool
# 运行(命令名使用下划线)
bach_semrush_keyword_magic_tool配置
API 认证
此 API 需要认证。请设置环境变量:
export API_KEY="your_api_key_here"环境变量
变量名 | 说明 | 必需 |
| API 密钥 | 是 |
| 不适用 | 否 |
| 不适用 | 否 |
在 Cursor 中使用
编辑 Cursor MCP 配置文件 ~/.cursor/mcp.json:
{
"mcpServers": {
"bach-semrush_keyword_magic_tool": {
"command": "uvx",
"args": ["--from", "bach-semrush_keyword_magic_tool", "bach_semrush_keyword_magic_tool"],
"env": {
"API_KEY": "your_api_key_here"
}
}
}
}在 Claude Desktop 中使用
编辑 Claude Desktop 配置文件 claude_desktop_config.json:
{
"mcpServers": {
"bach-semrush_keyword_magic_tool": {
"command": "uvx",
"args": ["--from", "bach-semrush_keyword_magic_tool", "bach_semrush_keyword_magic_tool"],
"env": {
"API_KEY": "your_api_key_here"
}
}
}
}可用工具
此服务器提供以下工具:
keyword_overview_analysis
Keyword Overview analysis
端点: GET /global-volume
参数:
keyword(string) 必需: Example value: ai toolscountry(string) 必需: Example value: us
keyword_magic_tool
Find millions of keyword suggestions for your SEO. Enter a topic and get your list of best keywords for you
端点: GET /keyword-research
参数:
keyword(string) 必需: Example value: email marketingcountry(string) 必需: Example value: uslanguagecode(string): Example value: te
questions
Questions
端点: GET /Question-keyword-research-More
参数:
keyword(string) 必需: Example value: ai toolscountry(string) 必需: Example value: us
技术栈
传输协议: stdio
HTTP 客户端: httpx
许可证
MIT License - 详见 LICENSE 文件。
开发
此服务器由 API-to-MCP 工具生成。
版本: 1.0.0
Available Tools
3 toolskeyword_magic_toolB
Find millions of keyword suggestions for your SEO. Enter a topic and get your list of best keywords for you
Inputs: country (required), keyword (required), languagecode.
keyword_overview_analysisD
Keyword Overview analysis
Inputs: country (required), keyword (required).
questionsD
Questions
Inputs: country (required), keyword (required).
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
Loading tool schema changelog…
TDQS
Scored across 3 tools
keyword_overview_analysis and keyword_magic_tool are clearly distinct (one provides metrics for a specific keyword, the other generates suggestions). The questions tool is somewhat ambiguous in name but appears to target a specific keyword type, so it is distinguishable.
Two tools share a 'keyword_' prefix, but the third is simply 'questions', breaking the pattern. There is no consistent verb_noun structure, making naming conventions mixed though still readable.
Three tools is a reasonable number for a focused keyword research server. It covers the core capabilities without being bloated, though it is slightly sparse.
The set covers keyword overview and keyword suggestion discovery, which are central to the domain. Questions adds a specialized angle, but common operations like keyword filtering or clustering are missing, leaving minor gaps.
Maintenance
Related MCP Connectors
Semrush MCP Pack — SEO analytics via the Semrush Analytics API.
Keyword ideas and question discovery for any seed term - volumes, difficulty, and SERP intent.
Keyword research MCP: search volume, CPC, keyword difficulty and keyword ideas by country. Monthly search volume, CPC, competition, keyword difficulty and intent for any keyword and country, keyword ideas from seed terms, and the keywords a competitor ranks for that you don't. Use for keyword ideas, search volume, CPC, difficulty and competitor keyword gaps when planning content or choosing targets. This is a focused subset of SEO Data; connect it instead of the toolkit when you only need keyword research. Billing: paid data calls use API credits; get_api_credit_balance is free. The focused connections and SEO Data use the same balance and prices. Example prompts: - Compare search volume and CPC for my keyword batch in the US after I approve the API-credit cost. - After confirming the API-credit spend, compare keyword difficulty for my shortlist and explain the limits of the estimates. - Find keyword ideas and competitor keyword gaps for the seed and domains I provide, within my approved API-credit budget. Docs: https://docs.crakseo.com/mcp-servers/keyword-research
Ahrefs: Ahrefs API: SEO powerhouse featuring keyword research, backlink analysis, and SERP tracking.
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