# OOREP MCP Server

> OOREP MCP Server — dhi13man-oorep-mcp. Use this tool when you need to integrate homeopathic reference data into AI assistants, enabling natural language searches for symptoms, remedies, and repertorization across multiple repertories and remedies. It solves problems of accessing and searching vast homeopathic datasets, providing a TypeScript client SDK for seamless integration. The OOREP MCP Server takes in natural language queries and returns relevant reference data, making it ideal for AI-powered health and wellness applications.

Canonical page: https://skillsregistry.net/skills/dhi13man-oorep-mcp  
JSON: https://api.skillsregistry.net/v1/skills/dhi13man-oorep-mcp

## Description

An MCP server and TypeScript client SDK that gives AI assistants access to OOREP's homeopathic repertory and materia medica reference data, enabling natural language searches for symptoms, remedies, rubrics, and repertorization across 12+ repertories and 600+ remedies.

## Trust

- **Trust score (0–1):** 0.67
- **Verification tier:** scanned
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/y7s6w9kk3p)
- **Repository:** <https://github.com/Dhi13man/oorep-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": "dhi13man-oorep-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/dhi13man-oorep-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/dhi13man-oorep-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