# Pepesto MCP Server

> Use this tool when you need to convert recipes into matched supermarket products with live prices, solving the problem of ingredient sourcing and pricing for grocery shopping. It takes in recipes in various formats, such as URLs, plain text, or photos, and outputs a basket of matched products across 26 European supermarkets. Ideal for use cases involving automated grocery shopping, meal planning, and recipe optimization.

Canonical page: https://skillsregistry.net/skills/pepesto-solutions-pepesto-mcp  
JSON: https://api.skillsregistry.net/v1/skills/pepesto-solutions-pepesto-mcp

## Description

MCP server for the Pepesto API — give your agent the ability to turn any recipe (a URL, plain text, or a photo) into a matched basket of real supermarket products with live prices, across 26 European supermarkets. The MCP covers the recipe → matched cart half of the grocery shopping workflow (parse / search / map ingredients to SKUs / check catalogs).

## 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:** mcp-remote
- **Runtime environment:** api
- **Category:** media
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/qqorrdet25)
- **Repository:** <https://github.com/pepesto-solutions/pepesto-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": "pepesto-solutions-pepesto-mcp"
    }
  }
}
```

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