# mcp-serp

> Use this tool when you need to analyze and optimize search engine results pages (SERPs) for better online visibility and ranking. It solves problems related to keyword research, competitor analysis, and search engine optimization (SEO) by providing insights into search query results. The tool takes search queries as input and outputs relevant data on SERP rankings, keywords, and competitor performance.

Canonical page: https://skillsregistry.net/skills/acedatacloud-mcp-mcp-serp  
JSON: https://api.skillsregistry.net/v1/skills/acedatacloud-mcp-mcp-serp

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-02

## Source

- **Source listing:** [Smithery](https://smithery.ai/server/acedatacloud-mcp/mcp-serp)

## 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": "acedatacloud-mcp-mcp-serp"
    }
  }
}
```

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