# io.github.Synter-Media-AI/synter-ads

> Use this tool when you need to streamline and optimize ad campaigns across multiple platforms, including Google, Meta, LinkedIn, Reddit, TikTok, and more, using artificial intelligence to manage and automate tasks. It solves problems related to ad campaign management, such as manually tracking and adjusting ads, by providing a unified interface for inputting campaign parameters and outputting optimized ad performance. Use it when you want to efficiently manage and scale your online advertising efforts.

Canonical page: https://skillsregistry.net/skills/io-github-synter-media-ai-synter-ads  
JSON: https://api.skillsregistry.net/v1/skills/io-github-synter-media-ai-synter-ads

## Description

Manage ad campaigns across Google, Meta, LinkedIn, Reddit, TikTok, and more via AI.

## Trust

- **Trust score (0–1):** 0.92
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.8
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** social-media
- **Updated:** 2026-09-19

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/io.github.Synter-Media-AI%2Fsynter-ads)
- **Repository:** <https://github.com/Synter-Media-AI/mcp-server>

## Use it

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

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": "io-github-synter-media-ai-synter-ads"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/io-github-synter-media-ai-synter-ads` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/io-github-synter-media-ai-synter-ads/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