# @dealx/mcp-server

> Use this tool when you need to integrate large language models (LLMs) with the DealX platform for ad searching. It solves the problem of accessing DealX ads programmatically, enabling use cases such as automated ad retrieval and processing. The tool accepts Model Context Protocol inputs and returns relevant ad search results as output.

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

## Description

Enables LLMs to search for ads on the DealX platform via the Model Context Protocol.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-01

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/rh4c91m91z)
- **Repository:** <https://github.com/DealExpress/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": "dealexpress-mcp-server"
    }
  }
}
```

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