# Semrush Universal MCP Server

> Use this tool when you need to integrate Semrush's tools and services into your application through a unified API, solving problems of fragmented interfaces and disparate data sources. It provides a standardized interface using the Model Context Protocol, accepting API requests as input and returning relevant data as output. Ideal for use cases requiring streamlined access to Semrush's capabilities, such as SEO audits, keyword research, and competitor analysis.

Canonical page: https://skillsregistry.net/skills/universal-mcp-semrush  
JSON: https://api.skillsregistry.net/v1/skills/universal-mcp-semrush

## Description

Provides a standardized interface for interacting with Semrush's tools and services through a unified API using the Model Context Protocol.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** api-integration
- **Updated:** 2026-09-01

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/jmdesq7x85)
- **Repository:** <https://github.com/universal-mcp/semrush>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "universal-mcp-semrush"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/universal-mcp-semrush` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/universal-mcp-semrush/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt