# idealo

> Use this tool when you need to integrate price comparison capabilities into your AI workflow, providing access to product catalogs, pricing, and analytics across multiple European markets. It solves problems such as finding the best product prices, tracking price history, and optimizing shopping experiences. Ideal for e-commerce and retail applications, it accepts OAuth 2.0 authentication and returns detailed product profiles and offer listings.

Canonical page: https://skillsregistry.net/skills/idealo  
JSON: https://api.skillsregistry.net/v1/skills/idealo

## Description

idealo's MCP server integrates Europe's leading price comparison platform into AI workflows, covering Germany, Austria, UK, France, Italy, and Spain. It provides tools for full-text product catalog search, detailed product profiles with shop-by-shop pricing, paginated offer listings with delivery estimates and return policies, and 30-day price history analytics. Authentication uses OAuth 2.0 with Dynamic Client Registration and PKCE; a self-serve trial tier is available with rate limits of 4 req/s.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

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

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/idealo)
- **Repository:** <https://github.com/idealo/mcp-server-guide>

## 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": "idealo"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/idealo` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/idealo/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