# co.pipeboard/meta-ads-mcp

> Use this tool when you need to automate and optimize Facebook and Meta Ads campaigns using AI. It analyzes ad performance, tests creative assets, and optimizes spend to improve campaign efficiency, solving problems such as low ad engagement and wasted budget. With inputs including ad performance data and creative assets, it outputs optimized ad campaigns and spend allocations.

Canonical page: https://skillsregistry.net/skills/co-pipeboard-meta-ads-mcp  
JSON: https://api.skillsregistry.net/v1/skills/co-pipeboard-meta-ads-mcp

## Description

Facebook / Meta Ads automation with AI: analyze performance, test creatives, optimize spend.

## Trust

- **Trust score (0–1):** 0.80
- **Verification tier:** scanned
- **Last scanned:** 2026-05-22

## Facts

- **Version:** 1.0.11
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** social-media
- **Updated:** 2026-09-13

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/co.pipeboard%2Fmeta-ads-mcp)

## Use it

MCP endpoint published by the skill: `https://mcp.pipeboard.co/meta-ads-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": "co-pipeboard-meta-ads-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/co-pipeboard-meta-ads-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/co-pipeboard-meta-ads-mcp/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
