Semrush MCP Server

@mrkooblu

Repository

Basic information

About Semrush MCP Server

A Model Context Protocol (MCP) server implementation that provides tools for accessing Semrush API data.

#semrush#mcp #api-tools

Semrush MCP Server config

No standard config provided

This server doesn't expose a parseable MCP config block in its README. See the repository for install instructions.

Repository

Semrush MCP Server tools

Tool list not available yet

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Overview

What is Semrush MCP Server?

It is a community-maintained, self-hosted tool that provides Semrush API data through an MCP server for AI assistants (Claude Desktop, Cursor) and a semrush CLI for direct terminal use. It enables keyword research, domain analytics, backlinks, traffic analysis, and competitive intelligence.

How to use Semrush MCP Server?

Install globally via npm install -g github:mrkooblu/semrush-mcp, then set the SEMRUSH_API_KEY environment variable. Use the semrush CLI for terminal/agent commands or configure the semrush-mcp command in your MCP client’s config (e.g., Claude Desktop or Cursor) using stdio transport.

Key features of Semrush MCP Server

Domain Analytics with organic/paid keywords and competitors
Keyword Research with difficulty, related, and broad match
Backlink Analysis with referring domains and anchor distribution
Traffic & Audience Analytics (requires .Trends subscription)
Site Audit and Project management
CLI-only Keyword Gap Analysis between two domains

Use cases of Semrush MCP Server

SEO professionals analyzing domain rankings and competitor strategies
Content marketers discovering keyword opportunities and question-based queries
AI assistants generating automated SEO reports on demand
Developers integrating Semrush data into custom workflows via CLI or MCP

Frequently asked questions

What do I need to use Semrush MCP Server?

You need a Semrush API key (`SEMRUSH_API_KEY`) and Node.js installed. The server and CLI are installed via npm.

Does it require a Semrush subscription?

Yes, a Semrush account with API access is required. Traffic and Audience tools additionally need the .Trends API subscription.

Which MCP clients are supported?

Any MCP-compatible client using stdio transport is supported. Explicit setup examples are provided for Claude Desktop and Cursor.

Are there rate limits or caching?

You can configure `API_RATE_LIMIT_PER_SECOND` (default 10) and `API_CACHE_TTL_SECONDS` (default 300). API requests consume units from your Semrush account.

How do I check my remaining API units?

Use the `semrush units` CLI command or the `semrush_api_units_balance` MCP tool.

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