# agent1st-ads-mcp

> agent1st-ads-mcp — nolas-shadow-agent1st-ads-mcp. Use this tool when you need to automate and streamline social media advertising campaigns on Meta and TikTok. The agent1st-ads-mcp server enables AI agents to launch and manage ad campaigns autonomously with a simple 1-call interface, solving problems of manual campaign management and optimizing ad performance. It takes just 30 seconds to launch a campaign, making it ideal for use cases requiring rapid ad deployment and flexible management.

Canonical page: https://skillsregistry.net/skills/nolas-shadow-agent1st-ads-mcp  
JSON: https://api.skillsregistry.net/v1/skills/nolas-shadow-agent1st-ads-mcp

## Description

MCP server that lets AI agents launch and manage Meta + TikTok ad campaigns autonomously. 1 call 30 seconds to launch.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** social-media
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/uxwlwkrlzw)
- **Repository:** <https://github.com/Nolas-Shadow/agent1st-ads-mcp>

## 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": "nolas-shadow-agent1st-ads-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/nolas-shadow-agent1st-ads-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/nolas-shadow-agent1st-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