# x-ads-mcp-server

> x-ads-mcp-server — insightful-pipe-x-ads-mcp-server. Use this tool when you need to connect Twitter Ads to AI models like Claude, ChatGPT, Cursor, and Claude Code for campaign analytics. It provides a hosted remote MCP server to integrate X Ads with these models, solving problems of data siloing and manual analytics. The tool takes in Twitter Ads data and outputs integrated campaign analytics, ideal for use cases requiring unified advertising insights.

Canonical page: https://skillsregistry.net/skills/insightful-pipe-x-ads-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/insightful-pipe-x-ads-mcp-server

## Description

Hosted X (Twitter) Ads MCP server: 80 actions (52 read, 28 that make changes) for reporting and building campaigns, line items, promoted-only posts and cards. New campaigns start paused; deletes off by default.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-10-20

## Source

- **Source listing:** [GitHub](https://github.com/Insightful-Pipe/x-ads-mcp-server)

## 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": "insightful-pipe-x-ads-mcp-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/insightful-pipe-x-ads-mcp-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/insightful-pipe-x-ads-mcp-server/pull`

---
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