# Epicure MCP Server

> Use this tool when you need to analyze ingredient relationships, flavor profiles, or culinary concepts, and want to leverage a public, anonymous, read-only server for Epicure's ingredient-embedding model. It solves problems related to recipe development, food pairing, and culinary research by providing insights through cosine similarity and embedding analyses. The server accepts queries and returns results via a read-only interface, making it ideal for applications where ingredient understanding and exploration are crucial.

Canonical page: https://skillsregistry.net/skills/kaikaku-ai-epicure-mcp  
JSON: https://api.skillsregistry.net/v1/skills/kaikaku-ai-epicure-mcp

## Description

Public, anonymous, read-only MCP server for the Epicure ingredient-embedding model, offering tools for ingredient pairings, flavor profiling, and culinary exploration via cosine similarity and other embedding analyses.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **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/pyqehtmcui)
- **Repository:** <https://github.com/KAIKAKU-AI/epicure-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": "kaikaku-ai-epicure-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/kaikaku-ai-epicure-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/kaikaku-ai-epicure-mcp/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