# AdAdvisor MCP Server

> Use this tool when you need to analyze and optimize Meta Ads performance by querying accounts, campaigns, ad sets, and ads data. It solves problems related to ad performance tracking, metrics analysis, and campaign optimization, providing outputs such as key performance metrics and settings. Ideal for use cases requiring data-driven ad decisions, such as campaign monitoring and ROI analysis.

Canonical page: https://skillsregistry.net/skills/ai-adadvisor-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/ai-adadvisor-mcp-server

## Description

Query Meta Ads performance data — accounts, campaigns, ad sets, ads, metrics & settings.

## Trust

- **Trust score (0–1):** 0.80
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** monitoring
- **Updated:** 2026-09-29

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/ai.adadvisor%2Fmcp-server)

## Use it

MCP endpoint published by the skill: `https://api.adadvisor.ai/mcp`

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": "ai-adadvisor-mcp-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ai-adadvisor-mcp-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ai-adadvisor-mcp-server/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